Hydrogen storage mechanisms in defective graphenes

Hydrogen storage mechanisms in defective graphenes | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Hydrogen storage mechanisms in defective graphenes Utkir Uljayev, Kamoliddin Mehmonov, Ishmumin Yadgarov, Maksudbek Yusupov, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4381829/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Research on hydrogen storage using carbon-based nanomaterials is currently attracting increasing interest. Yet, understanding the storage nature of graphene surfaces is still elusive. In this study, we investigated the physisorption mechanisms of H2 molecules on defective graphenes using reactive molecular dynamics simulations. We found that an increase in the size and concentration of defects in graphene increases the physisorption of H2 molecules on the surface due to a change in the partial charges of atoms in the system. Specifically, our results showed that in the case of the highest percentage of defects (10.27%), the gravimetric density of H2 molecules is about 2.12 wt.% at ambient conditions, which is within the range of gravimetric densities obtained from experiments and other simulations. The results also indicated that the physisorption of H2 molecules is related to both the size and the concentration of defects on the graphene surface. This study contributes to a better understanding of the mechanisms of hydrogen storage in graphene with various defects at the atomic level. hydrogen storage defective graphene hydrogen physisorption reactive molecular dynamics Figures Figure 1 Figure 2 Figure 3 INTRODUCTION Hydrogen energy is considered a highly promising “green” fuel in various fields, such as fuel cells [1,2], electronics industry and pharmaceuticals, due to its environmentally friendly and sustainable nature. It is predicted to be an efficient alternative fuel that can be used to generate energy. Currently, research is being carried out on the process of extracting (or producing) hydrogen from water using photocatalytic and electrocatalytic decomposition methods [3,4]. Hydrogen production methods have been extensively studied in various countries. Specifically, in Japan, efficient catalysts such as TiO 2 (anode) and SiC (cathode) are used to extract hydrogen [5], whereas in Spain, a project utilizing photoelectrocatalysis was launched to produce fuel from hydrogen [6]. Australia is also producing hydrogen using solar and wind energy [7]. Hydrogen can also be extracted at high temperatures from various compounds and molecules [8], including methane, using nanomaterials [9,10]. Recently, attention has been drawn to the regenerative method of hydrogen production in a plasma reactor, which is being studied theoretically and practically [11]. Hydrogen extracted from various sources is being extensively used as a source of energy in various technologies and industries. Russian company NOVATEK has significantly increased the use of hydrogen in its steam-gas plants, with a share of 60%, and launched the first industrial project to generate electricity from it [6]. Meanwhile, at the port of Tallinn in Estonia, ferries use hydrogen, which is known to be an environmentally friendly fuel [12]. About 300 households in Scotland have begun the transition from natural gas to clean hydrogen [13]. Apple in the US recently began developing a hydrogen fuel cell-using mobile device for testing under controlled laboratory conditions [14]. In addition, France has successfully engineered aircrafts that are powered by hydrogen engines [15,16]. To ensure the efficacy of hydrogen energy, it is crucial to adequately store the isolated hydrogen in materials [17-20]. Hydrogen can be stored using three primary methods, i.e., compressed gas [21], cryogenic liquid [22] and solid storage [23]. The solid state storage method is considered safer and more economical than the other two methods due to the absorption of hydrogen by the nanomaterials, which reduces the large volume and additional energy required. Currently, research is being conducted using metal hydrides [24], complex hydrides [23] and carbon-based nanostructures [25,26] as hydrogen storage materials. Particular attention is paid to both physisorption [27] and chemisorption [28] methods of hydrogen storage in these materials and consistent efforts are being made to study their effectiveness. Recently, there has been increased interest in carbon-based nanomaterials that have a high hydrogen storage index. Because of their chemical stability and large storage capacity, these nanomaterials are considered good candidates for effective hydrogen storage [29]. In particular, graphene [30], one of the carbon-based nanomaterials, is being considered as a promising material for hydrogen storage due to its high mechanical, chemical, electrical, optical and thermal properties [31]. Hydrogen atoms and molecules can be adsorbed on both sides of graphene, which increases its storage capacity [32]. Although studies have been carried out on hydrogen storage using physisorption and chemisorption in one and two layers of defect-free and defective graphene structures, the actual storage efficiency at room temperature remains low. Nevertheless, theoretical studies continue to explore ways to improve this performance [33,34]. Recent studies have shown that graphene with defects (such as a single Stone-Wales vacancy or a double vacancy, i.e. 5-8-5, 555-777 and 5555-6-7777) has a higher hydrogen storage capacity compared to defect-free graphene [35,36]. This finding highlights the potential for utilizing defective graphene in hydrogen storage applications [35]. Despite various attempts, the ability of graphene to store hydrogen on its surface is still limited due to the diverse range of defects in its structure, which differ in type and size. In this research, we investigate the underlying mechanisms of hydrogen adsorption on graphenes with and without defects using atomistic computer simulations, in order to understand how to improve the hydrogen storage capacity of carbon-based nanomaterials. COMPUTATIONAL DETAILS We performed the reactive molecular dynamics (MD) simulations using the LAMMPS software package [37] to simulate the adsorption processes of H 2 molecules on various graphene surfaces, including defect-free and defective ones. For this purpose, we used the ReaxFF potential with a parameter set developed by Zou et al. [38], to accurately describe the interatomic interactions, including the formation and breaking of chemical bonds between them. As model systems, we used different graphene structures, i.e., pristine graphene ( G ) (Fig. 1a) and graphene with single ( SVG ), double ( DVG ) and triple ( TVG ) defects (Fig. 1b-g). To determine the percentage of defects in graphene, the ratio of the surface area of defective ( SVG , DVG and TVG ) graphenes S dG = S SVG + S DVG + S TVG was divided by the surface area of pristine graphene S G , resulting in the value k=S dG /S G . This value was used to analyze the impact of defects on the graphene structures. Thus, according to this formula, the k coefficients of graphenes with one ( k SVG ), two ( k DVG ) and three ( k TVG ) defects were determined as k SVG = S SVG /S G , k DVG = S DVG /S G and k TVG = S TVG /S G , respectively. As shown in Figure 1b-g, the number of defects used in this study for defective graphene was chosen to be 1 ( SVG-1, DVG-1 and TVG-1 ) and 4 ( SVG-4, DVG-4 and TVG-4 ). To calculate the overall percentage of defects (or their concentration) on the graphene surfaces, the individual percentages of defects on SVG, DVG and TVG were added together: k= k SVG + k DVG + k TVG . The measured surface area of G graphene was 10.18 nm 2 while the surface area of defects, i.e., SVG-1 , DVG-1 , TVG-1 , SVG-4 , DVG-4 and TVG-4 , on defective graphene was found to be 0.16, 0.21, 0.26, 0.63, 0.84 and 1.05 nm 2 , respectively. Thus, the k coefficients (or percentages of defects) of these SVG-1 , DVG-1 , TVG-1 , SVG-4 , DVG-4 and TVG-4 graphenes were 1.54, 2.05, 2.57, 6.15, 8.22 and 10.27%, respectively. Thus, seven model graphenes were used in total, i.e., G , SVG-1 , DVG-1 , TVG-1 , SVG-4 , DVG-4 and TVG-4 . First, the potential energy of these model systems was minimized using the conjugate gradient method. Subsequently, they were heated up to 300 K using an NpT ensemble and a temperature gradient of 1 K∙ps -1 [39], applying the Berendsen thermostat and barostat with coupling constants of 100 fs and 5000 fs, respectively [40]. Then, the temperature of the model systems (300 K) was controlled using a Bussy thermostat in the NVT ensemble [41] for 100 ps. To mimic infinitely long systems, the model graphenes were subjected to periodic boundary conditions in both the x and y directions. RESULTS AND DISCUSSION As an example of the hydrogenation process of graphene, figure 2 illustrates the defective graphene TVG-4 (i.e., graphene with the highest concentration of defects in this work) and surrounding H 2 molecules. It was suggested that nanostructures based on carbon nanomaterials (graphene, nanotubes, etc.) can exhibit physisorption of H 2 molecules in close proximity to the nanostructure, i.e., in the range of 3 Å [42]. Therefore, we used a cut-off distance of 3 Å from the graphene surface to determine the amount (or concentration) of physisorbed H 2 molecules. As is obvious, a greater number of H 2 molecules (i.e., 42% of the total H 2 molecules in the system) within 3 Å of the surface are physisorbed on TVG-4 graphene (see Fig. 2). The reactivity of carbon-based nanostructures such as fullerene, nanotubes and graphene is mainly determined by the significant mechanical pressure that occurs due to the spherical shape caused by carbon atoms, which can be identified by the pyramidalization angle ( θ p ) [43]. The curvature of p -orbitals in carbon nanotubes (CNTs) causes local strain (or deformation), leading to pyramidalization and displacement of C atoms. Consequently, this strain can increase reactivity in CNTs due to an increase in their curvature. On the other hand, the reactivity in flat graphene sheets is considerably low, since C atoms have sp 2 hybridization in a planar form with a zero pyramidalization angle. ( θ p =0°). Thus, the interaction of H 2 molecules with the graphene surface most likely has a physisorption character. Figure 3 shows the gravimetric density of physisorbed H 2 molecules, depending on the concentration of defects (see red curve). As is clear, the concentration of defects ranges from 0 to 10.27%, i.e., from defectless graphene ( G ) to highly defective one ( TVG-4 ). It is obvious from the figure that the gravimetric density of H 2 molecules physisorbed on G graphene is 1.56 wt.%, which increases with an increase in the number (concentration) of defects on graphene, thereby reaching a value of 2.12 wt.% for TVG-4 , i.e., highest defectiveness. For other defects, the gravimetric density is found to be 1.76, 1.88, 2.01, 2.06 and 2.08 wt.% for SVG-1 , DVG-1 , TVG-1 , SVG-4 and DVG-4 , respectively. These values are within the range of gravimetric densities obtained using MD simulations 2.0-2.20 wt.% [36], respectively. In general, at 300 K, the amount of hydrogen covering the surface (represented as N H /N C ) is around 18.75% for pristine graphene. However, in the case of graphenes with concentrations of defects within the range of 1.54-10.27%, the degree of hydrogen coverage also differs, reaching a maximum value of 25.74%. This means that with an increase in the concentration of defects in graphene, the number of H 2 molecules that can adsorb to its surface also increases. The increase in the gravimetric density of physisorbed H 2 molecules on the graphene surface with an increase in the concentration of defects can be explained by the change in the partial charges of C atoms (see Fig. 3, blue curve). In graphene, the carbon atom has a higher electronegativity value (χ=2.55) compared to the hydrogen atom (χ=2.20). This difference in electronegativity results in non-bonded interactions such as Van der Waals and Coulomb forces between the graphene surface and H 2 molecules. As a result, the average partial charge of C atoms in graphene is -0.121, -0.124, -0.136, -0.188, -0.192 and -0.201 e , which corresponds to the values of 1.54, 2.05, 2.57, 6.15, 8.22 and 10.27% of the defect concentration in graphene. This indicates that an increase in the concentration of defects leads to an increase in the partial charges of C atoms in defective graphenes. This, in turn, results in a relatively stronger interaction between H 2 molecules and C atoms on the graphene surface, thereby leading to higher adsorption of H 2 molecules on defective graphene. Figure 3 (red curve) also shows that the rate of hydrogen adsorption sharply increases with an increase in the size of defects at a lower concentration. In particular, the average rate is 0.175 wt.% on the percentage of defects for SVG-1 , DVG-1 and TVG-1 . However, this rate decreases by about 12 times for the cases of SVG-4 , DVG-4 and TVG-4 , i.e., with an increase in the size of defects while maintaining their higher concentration. Nevertheless, it can be assumed that even at low concentrations, an increase in the size of defects can most likely lead to a decrease in the adsorption rate due to the formation of larger voids and, as a consequence, the weakening of non-bonded interactions between H 2 molecules and defective graphene. Indeed, the use of smaller defects instead of larger ones, at the same concentration of defects, can lead to a higher degree of retention of H 2 molecules on the graphene surface [44]. Note that there is a limitation on the concentration of defects, under which an excessive number of defects can lead to the opposite results on the hydrogen adsorption rate [45 ], which can be caused by the formation of larger defects (voids) due to the clustering of smaller-sized defects [46,47]. CONCLUSIONS Molecular dynamics simulations were performed to study the physisorption of H 2 molecules on defective graphenes with various defect sizes compared with pristine graphene. The results showed that an increase in the size and concentration of defects in graphene leads to an increase in the physisorption of H 2 molecules on the surface, which is associated with an increase in the partial charges of C atoms and, consequently, a stronger non-bonded interaction of H 2 molecules and C atoms on graphene. In particular, for the case of the highest percentage of defects (10.27%), the gravimetric density of H 2 molecules was found to be 2.12 wt.% at 0.9 atm and 300 K. Overall, the physisorption nature (in particular, adsorption rate) of H 2 molecules depends on both the size and the concentration of defects on the graphene surface. In general, this study helps to understand the underlying mechanisms of hydrogen physisorption on defective graphenes, which in turn improves our understanding of how to manipulate defects in order to increase the hydrogen storage capacity. Declarations ACKNOWLEDGMENTS This research was carried out within the framework of the F-FA-2021-512 project, granted by the Agency for Innovative Development of the Republic of Uzbekistan. The simulations were performed using FISTUz cluster at the Institute of Ion-Plasma and Laser Technologies of the Academy of Sciences of Uzbekistan. REFERENCES Y.-P. Chen, Nanostructured Materials for Next-Generation Energy Storage and Conversion: Hydrogen Production, Storage, and Utilization (Springer Berlin Heidelberg, New York, NY, (2017). P. P. Edwards, V. L. Kuznetsov, and W. I. F. David, Hydrogen Energy , Phil. Trans. R. Soc. A. 365, 1043 (2007). 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David Carey, “ Ab initio investigation of molecular hydrogen physisorption on graphene and carbon nanotubes ”, Physical Review B 75, (2007), 245413. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4381829","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":605136751,"identity":"cc76b453-5133-40d4-936e-efa73d957df4","order_by":0,"name":"Utkir Uljayev","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIie3QsQrCMBCA4QuFuAS7VhR9hZZMYt/EJSLUpe4dRAJCXQRXH6clkKnvoCK4qrg4etUuDq0ZBfNDbroPkgDYbD8ZhQxnj0icVzxtAOeLeBNWErID8KgJKWPlcJgJ8ffpRCWgmLNWuhsmaklbK+XDIhzXEk2zvEBCNlHUjQvlUaanAnQ0l7WkJXNZEhlzPk+ReDHPiFQGZHu586EZwYu9yC4mJ1IR0UQ6OhK59GdIzsFxU8w6Kb7FFw1vaSvNbzIZ9YPt9JA9kpHr4o9510VYS6rrAQQfG6JxvWpgsmSz2Wz/2RN981VPudeWAAAAAABJRU5ErkJggg==","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Utkir","middleName":"","lastName":"Uljayev","suffix":""},{"id":605136752,"identity":"eacd8a88-ed9f-4307-a2d7-3fc9b4469eab","order_by":1,"name":"Kamoliddin Mehmonov","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Kamoliddin","middleName":"","lastName":"Mehmonov","suffix":""},{"id":605136753,"identity":"61b5d9ba-ed0e-4cb6-aca5-ea8dbbb1bfc2","order_by":2,"name":"Ishmumin Yadgarov","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Ishmumin","middleName":"","lastName":"Yadgarov","suffix":""},{"id":605136754,"identity":"945d3dbc-5703-4213-a34b-6088d2e6a6b3","order_by":3,"name":"Maksudbek Yusupov","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Maksudbek","middleName":"","lastName":"Yusupov","suffix":""},{"id":605136755,"identity":"51373491-a124-46fc-b279-03662ed0a026","order_by":4,"name":"Umedjon Khalilov","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Umedjon","middleName":"","lastName":"Khalilov","suffix":""}],"badges":[],"createdAt":"2024-05-07 09:21:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4381829/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4381829/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104583307,"identity":"13b7393a-965b-4055-92d2-1f901cac736e","added_by":"auto","created_at":"2026-03-13 15:18:42","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":682229,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eDefect-free (pristine) graphene G (a) and defective graphenes with different concentrations, i.e., SVG-1 (b), DVG-1 (c), TVG-1 (d), SVG-4 (e), DVG-4 (f), TVG-4 (g). The numbers denote one (b-d) or four (e-g) defects in the defective graphene.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4381829/v1/86ac3f5f18b8ef23bcc32095.png"},{"id":104583308,"identity":"8f06c870-889b-4dca-852f-49cde0ed30ef","added_by":"auto","created_at":"2026-03-13 15:18:42","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":878739,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eCross section of graphene with surrounding H\u003c/em\u003e\u003csub\u003e\u003cem\u003e2\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e molecules. H and C atoms with Van der Waals spheres are shown in green and gray colors, respectively.\u003c/em\u003e \u003cem\u003eA cut-off distance of 3 Å is chosen for physisorption.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4381829/v1/62ee81c0780982e898172c7c.png"},{"id":104583306,"identity":"0bb45477-e396-4cbf-8a68-88fa97dec927","added_by":"auto","created_at":"2026-03-13 15:18:41","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":133432,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eThe average gravimetric density of physisorbed H\u003c/em\u003e\u003csub\u003e\u003cem\u003e2\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e molecules (left, red curve) and the average partial charge of C atoms in graphene (right, blue curve), depending on the concentration of defects.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4381829/v1/435b4b236c80fb67cfb5f2bc.png"},{"id":104583309,"identity":"d933e2b9-f7d5-4e19-a654-af8047faa6b1","added_by":"auto","created_at":"2026-03-13 15:18:47","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2019868,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4381829/v1/3951f7d9-9a55-438e-8dd6-6e6197459459.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Hydrogen storage mechanisms in defective graphenes","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eHydrogen energy is considered a highly promising “green” fuel in various fields, such as fuel cells [1,2], electronics industry and pharmaceuticals, due to its environmentally friendly and sustainable nature. It is predicted to be an efficient alternative fuel that can be used to generate energy. Currently, research is being carried out on the process of extracting (or producing) hydrogen from water using photocatalytic and electrocatalytic decomposition methods [3,4]. Hydrogen production methods have been extensively studied in various countries. Specifically, in Japan, efficient catalysts such as TiO\u003csub\u003e2\u003c/sub\u003e (anode) and SiC (cathode) are used to extract hydrogen [5], whereas in Spain, a project utilizing photoelectrocatalysis was launched to produce fuel from hydrogen [6]. Australia is also producing hydrogen using solar and wind energy [7]. Hydrogen can also be extracted at high temperatures from various compounds and molecules [8], including methane, using nanomaterials [9,10]. Recently, attention has been drawn to the regenerative method of hydrogen production in a plasma reactor, which is being studied theoretically and practically [11].\u003c/p\u003e\n\u003cp\u003eHydrogen extracted from various sources is being extensively used as a source of energy in various technologies and industries. Russian company NOVATEK has significantly increased the use of hydrogen in its steam-gas plants, with a share of 60%, and launched the first industrial project to generate electricity from it [6]. Meanwhile, at the port of Tallinn in Estonia, ferries use hydrogen, which is known to be an environmentally friendly fuel [12]. About 300 households in Scotland have begun the transition from natural gas to clean hydrogen [13]. Apple in the US recently began developing a hydrogen fuel cell-using mobile device for testing under controlled laboratory conditions [14]. In addition, France has successfully engineered aircrafts that are powered by hydrogen engines [15,16].\u003c/p\u003e\n\u003cp\u003eTo ensure the efficacy of hydrogen energy, it is crucial to adequately store the isolated hydrogen in materials [17-20]. Hydrogen can be stored using three primary methods, i.e., compressed gas [21], cryogenic liquid [22] and solid storage [23]. The solid state storage method is considered safer and more economical than the other two methods due to the absorption of hydrogen by the nanomaterials, which reduces the large volume and additional energy required. Currently, research is being conducted using metal hydrides [24], complex hydrides [23] and carbon-based nanostructures [25,26] as hydrogen storage materials. Particular attention is paid to both physisorption [27] and chemisorption [28] methods of hydrogen storage in these materials and consistent efforts are being made to study their effectiveness. Recently, there has been increased interest in carbon-based nanomaterials that have a high hydrogen storage index. Because of their chemical stability and large storage capacity, these nanomaterials are considered good candidates for effective hydrogen storage [29]. In particular, graphene [30], one of the carbon-based nanomaterials, is being considered as a promising material for hydrogen storage due to its high mechanical, chemical, electrical, optical and thermal properties [31]. Hydrogen atoms and molecules can be adsorbed on both sides of graphene, which increases its storage capacity [32]. Although studies have been carried out on hydrogen storage using physisorption and chemisorption in one and two layers of defect-free and defective graphene structures, the actual storage efficiency at room temperature remains low. Nevertheless, theoretical studies continue to explore ways to improve this performance [33,34]. Recent studies have shown that graphene with defects (such as a single Stone-Wales vacancy or a double vacancy, i.e. 5-8-5, 555-777 and 5555-6-7777) has a higher hydrogen storage capacity compared to defect-free graphene [35,36]. This finding highlights the potential for utilizing defective graphene in hydrogen storage applications [35]. Despite various attempts, the ability of graphene to store hydrogen on its surface is still limited due to the diverse range of defects in its structure, which differ in type and size.\u003c/p\u003e\n\u003cp\u003eIn this research, we investigate the underlying mechanisms of hydrogen adsorption on graphenes with and without defects using atomistic computer simulations, in order to understand how to improve the hydrogen storage capacity of carbon-based nanomaterials.\u003c/p\u003e"},{"header":"COMPUTATIONAL DETAILS","content":"\u003cp\u003eWe performed the reactive molecular dynamics (MD) simulations using the LAMMPS software package [37] to simulate the adsorption processes of H\u003csub\u003e2\u003c/sub\u003e molecules on various graphene surfaces, including defect-free and defective ones. For this purpose, we used the ReaxFF potential with a parameter set developed by Zou et al. [38], to accurately describe the interatomic interactions, including the formation and breaking of chemical bonds between them. As model systems, we used different graphene structures, i.e., pristine graphene (\u003cem\u003eG\u003c/em\u003e) (Fig. 1a) and graphene with single (\u003cem\u003eSVG\u003c/em\u003e), double (\u003cem\u003eDVG\u003c/em\u003e) and triple (\u003cem\u003eTVG\u003c/em\u003e) defects (Fig. 1b-g). To determine the percentage of defects in graphene, the ratio of the surface area of defective (\u003cem\u003eSVG\u003c/em\u003e, \u003cem\u003eDVG\u003c/em\u003e and \u003cem\u003eTVG\u003c/em\u003e) graphenes \u003cem\u003eS\u003csub\u003edG\u003c/sub\u003e= S\u003csub\u003eSVG\u003c/sub\u003e+ S\u003csub\u003eDVG\u003c/sub\u003e+ S\u003csub\u003eTVG\u003c/sub\u003e\u003c/em\u003e was divided by the surface area of pristine graphene \u003cem\u003eS\u003csub\u003eG\u003c/sub\u003e\u003c/em\u003e, resulting in the value \u003cem\u003ek=S\u003csub\u003edG\u003c/sub\u003e/S\u003csub\u003eG\u003c/sub\u003e\u003c/em\u003e. This value was used to analyze the impact of defects on the graphene structures. Thus, according to this formula, the \u003cem\u003ek\u003c/em\u003e coefficients of graphenes with one (\u003cem\u003ek\u003csub\u003eSVG\u003c/sub\u003e\u003c/em\u003e), two (\u003cem\u003ek\u003csub\u003eDVG\u003c/sub\u003e\u003c/em\u003e) and three (\u003cem\u003ek\u003csub\u003eTVG\u003c/sub\u003e\u003c/em\u003e) defects were determined as \u003cem\u003ek\u003csub\u003eSVG\u003c/sub\u003e\u003c/em\u003e\u003cem\u003e= S\u003csub\u003eSVG\u0026nbsp;\u003c/sub\u003e/S\u003csub\u003eG\u003c/sub\u003e\u003c/em\u003e, \u003cem\u003ek\u003csub\u003eDVG\u003c/sub\u003e\u003c/em\u003e\u003cem\u003e= S\u003csub\u003eDVG\u0026nbsp;\u003c/sub\u003e/S\u003csub\u003eG\u003c/sub\u003e\u003c/em\u003e and \u003cem\u003ek\u003csub\u003eTVG\u003c/sub\u003e\u003c/em\u003e\u003cem\u003e= S\u003csub\u003eTVG\u0026nbsp;\u003c/sub\u003e/S\u003csub\u003eG\u003c/sub\u003e\u003c/em\u003e, respectively. As shown in Figure 1b-g, the number of defects used in this study for defective graphene was chosen to be 1 (\u003cem\u003eSVG-1, DVG-1\u003c/em\u003e and \u003cem\u003eTVG-1\u003c/em\u003e) and 4 (\u003cem\u003eSVG-4, DVG-4\u003c/em\u003e and\u003cem\u003e\u0026nbsp;TVG-4\u003c/em\u003e). To calculate the overall percentage of defects (or their concentration) on the graphene surfaces, the individual percentages of defects on \u003cem\u003eSVG, DVG\u003c/em\u003e and \u003cem\u003eTVG\u003c/em\u003e were added together: \u003cem\u003ek=\u003c/em\u003e\u003cem\u003ek\u003csub\u003eSVG\u003c/sub\u003e\u003c/em\u003e\u003cem\u003e+ k\u003csub\u003eDVG\u003c/sub\u003e\u003c/em\u003e\u003cem\u003e+ k\u003csub\u003eTVG\u003c/sub\u003e\u003c/em\u003e. The measured surface area of \u003cem\u003eG\u003c/em\u003e graphene was 10.18 nm\u003csup\u003e2\u003c/sup\u003e while the surface area of defects, i.e., \u003cem\u003eSVG-1\u003c/em\u003e, \u003cem\u003eDVG-1\u003c/em\u003e, \u003cem\u003eTVG-1\u003c/em\u003e, \u003cem\u003eSVG-4\u003c/em\u003e, \u003cem\u003eDVG-4\u003c/em\u003e and\u003cem\u003e\u0026nbsp;TVG-4\u003c/em\u003e, on defective graphene was found to be 0.16, 0.21, 0.26, 0.63, 0.84 and 1.05 nm\u003csup\u003e2\u003c/sup\u003e, respectively. Thus, the \u003cem\u003ek\u003c/em\u003e coefficients (or percentages of defects) of these \u003cem\u003eSVG-1\u003c/em\u003e, \u003cem\u003eDVG-1\u003c/em\u003e, \u003cem\u003eTVG-1\u003c/em\u003e, \u003cem\u003eSVG-4\u003c/em\u003e, \u003cem\u003eDVG-4\u003c/em\u003e and\u003cem\u003e\u0026nbsp;TVG-4\u003c/em\u003e graphenes were 1.54, 2.05, 2.57, 6.15, 8.22 and 10.27%, respectively.\u003c/p\u003e\n\u003cp\u003eThus, seven model graphenes were used in total, i.e., \u003cem\u003eG\u003c/em\u003e, \u003cem\u003eSVG-1\u003c/em\u003e, \u003cem\u003eDVG-1\u003c/em\u003e, \u003cem\u003eTVG-1\u003c/em\u003e, \u003cem\u003eSVG-4\u003c/em\u003e, \u003cem\u003eDVG-4\u003c/em\u003e and \u003cem\u003eTVG-4\u003c/em\u003e. First, the potential energy of these model systems was minimized using the conjugate gradient method. Subsequently, they were heated up to 300 K using an \u003cem\u003eNpT\u003c/em\u003e ensemble and a temperature gradient of 1 K∙ps\u003csup\u003e-1\u003c/sup\u003e [39], applying the Berendsen thermostat and barostat with coupling constants of 100 fs and 5000 fs, respectively [40]. Then, the temperature of the model systems (300 K) was controlled using a Bussy thermostat in the \u003cem\u003eNVT\u003c/em\u003e ensemble [41] for 100 ps. To mimic infinitely long systems, the model graphenes were subjected to periodic boundary conditions in both the \u003cem\u003ex\u003c/em\u003e and \u003cem\u003ey\u003c/em\u003e directions.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e"},{"header":"RESULTS AND DISCUSSION","content":"\u003cp\u003eAs an example of the hydrogenation process of graphene, figure 2 illustrates the defective graphene \u003cem\u003eTVG-4\u003c/em\u003e (i.e., graphene with the highest concentration of defects in this work) and surrounding H\u003csub\u003e2\u003c/sub\u003e molecules. It was suggested that nanostructures based on carbon nanomaterials (graphene, nanotubes, etc.) can exhibit physisorption of H\u003csub\u003e2\u003c/sub\u003e molecules in close proximity to the nanostructure, i.e., in the range of 3 \u0026Aring; [42]. Therefore, we used a cut-off distance of 3 \u0026Aring; from the graphene surface to determine the amount (or concentration) of physisorbed H\u003csub\u003e2\u003c/sub\u003e molecules. As is obvious, a greater number of H\u003csub\u003e2\u003c/sub\u003e molecules (i.e., 42% of the total H\u003csub\u003e2\u003c/sub\u003e molecules in the system) within 3 \u0026Aring; of the surface are physisorbed on \u003cem\u003eTVG-4\u003c/em\u003e graphene (see Fig. 2).\u003c/p\u003e\n\u003cp\u003eThe reactivity of carbon-based nanostructures such as fullerene, nanotubes and graphene is mainly determined by the significant mechanical pressure that occurs due to the spherical shape caused by carbon atoms, which can be identified by the pyramidalization angle (\u003cem\u003e\u0026theta;\u003c/em\u003e\u003csub\u003ep\u003c/sub\u003e) [43]. The curvature of \u003cem\u003ep\u003c/em\u003e-orbitals in carbon nanotubes (CNTs) causes local strain (or deformation), leading to pyramidalization and displacement of C atoms. Consequently, this strain can increase reactivity in CNTs due to an increase in their curvature. On the other hand, the reactivity in flat graphene sheets is considerably low, since C atoms have \u003cem\u003esp\u003csup\u003e2\u003c/sup\u003e\u003c/em\u003e hybridization in a planar form with a zero pyramidalization angle. (\u003cem\u003e\u0026theta;\u003c/em\u003e\u003csub\u003ep\u003c/sub\u003e=0\u0026deg;). Thus, the interaction of H\u003csub\u003e2\u003c/sub\u003e molecules with the graphene surface most likely has a physisorption character.\u003c/p\u003e\n\u003cp\u003eFigure 3 shows the gravimetric density of physisorbed H\u003csub\u003e2\u003c/sub\u003e molecules, depending on the concentration of defects (see red curve). As is clear, the concentration of defects ranges from 0 to 10.27%, i.e., from defectless graphene (\u003cem\u003eG\u003c/em\u003e) to highly defective one (\u003cem\u003eTVG-4\u003c/em\u003e). It is obvious from the figure that the gravimetric density of H\u003csub\u003e2\u003c/sub\u003e molecules physisorbed on \u003cem\u003eG\u003c/em\u003e graphene is 1.56 wt.%, which increases with an increase in the number (concentration) of defects on graphene, thereby reaching a value of 2.12 wt.% for \u003cem\u003eTVG-4\u003c/em\u003e, i.e., highest defectiveness. For other defects, the gravimetric density is found to be 1.76, 1.88, 2.01, 2.06 and 2.08 wt.% for \u003cem\u003eSVG-1\u003c/em\u003e, \u003cem\u003eDVG-1\u003c/em\u003e, \u003cem\u003eTVG-1\u003c/em\u003e, \u003cem\u003eSVG-4\u003c/em\u003e and \u003cem\u003eDVG-4\u003c/em\u003e, respectively. These values are within the range of gravimetric densities obtained using MD simulations 2.0-2.20 wt.% [36], respectively. In general, at 300 K, the amount of hydrogen covering the surface (represented as N\u003csub\u003eH\u003c/sub\u003e/N\u003csub\u003eC\u003c/sub\u003e) is around 18.75% for pristine graphene. However, in the case of graphenes with concentrations of defects within the range of 1.54-10.27%, the degree of hydrogen coverage also differs, reaching a maximum value of 25.74%. This means that with an increase in the concentration of defects in graphene, the number of H\u003csub\u003e2\u003c/sub\u003e molecules that can adsorb to its surface also increases. The increase in the gravimetric density of physisorbed H\u003csub\u003e2\u003c/sub\u003e molecules on the graphene surface with an increase in the concentration of defects can be explained by the change in the partial charges of C atoms (see Fig. 3, blue curve). In graphene, the carbon atom has a higher electronegativity value (\u0026chi;=2.55) compared to the hydrogen atom (\u0026chi;=2.20). This difference in electronegativity results in non-bonded interactions such as Van der Waals and Coulomb forces between the graphene surface and H\u003csub\u003e2\u003c/sub\u003e molecules. As a result, the average partial charge of C atoms in graphene is -0.121, -0.124, -0.136, -0.188, -0.192 and -0.201\u003cem\u003ee\u003c/em\u003e, which corresponds to the values of 1.54, 2.05, 2.57, 6.15, 8.22 and 10.27% of the defect concentration in graphene. This indicates that an increase in the concentration of defects leads to an increase in the partial charges of C atoms in defective graphenes. This, in turn, results in a relatively stronger interaction between H\u003csub\u003e2\u003c/sub\u003e molecules and C atoms on the graphene surface, thereby leading to higher adsorption of H\u003csub\u003e2\u003c/sub\u003e molecules on defective graphene.\u003c/p\u003e\n\u003cp\u003eFigure 3 (red curve) also shows that the rate of hydrogen adsorption sharply increases with an increase in the size of defects at a lower concentration. In particular, the average rate is 0.175 wt.% on the percentage of defects for \u003cem\u003eSVG-1\u003c/em\u003e,\u003cem\u003e\u0026nbsp;DVG-1\u0026nbsp;\u003c/em\u003eand \u003cem\u003eTVG-1\u003c/em\u003e. However, this rate decreases by about 12 times for the cases of \u003cem\u003eSVG-4\u003c/em\u003e,\u003cem\u003e\u0026nbsp;DVG-4\u003c/em\u003e and \u003cem\u003eTVG-4\u003c/em\u003e, i.e., with an increase in the size of defects while maintaining their higher concentration. Nevertheless, it can be assumed that even at low concentrations, an increase in the size of defects can most likely lead to a decrease in the adsorption rate due to the formation of larger voids and, as a consequence, the weakening of non-bonded interactions between H\u003csub\u003e2\u003c/sub\u003e molecules and defective graphene. Indeed, the use of smaller defects instead of larger ones, at the same concentration of defects, can lead to a higher degree of retention of H\u003csub\u003e2\u003c/sub\u003e molecules on the graphene surface [44]. Note that there is a limitation on the concentration of defects, under which an excessive number of defects can lead to the opposite results on the hydrogen adsorption rate [45 ], which can be caused by the formation of larger defects (voids) due to the clustering of smaller-sized defects [46,47].\u003c/p\u003e"},{"header":"CONCLUSIONS","content":"\u003cp\u003eMolecular dynamics simulations were performed to study the physisorption of H\u003csub\u003e2\u003c/sub\u003e molecules on defective graphenes with various defect sizes compared with pristine graphene. The results showed that an increase in the size and concentration of defects in graphene leads to an increase in the physisorption of H\u003csub\u003e2\u003c/sub\u003e molecules on the surface, which is associated with an increase in the partial charges of C atoms and, consequently, a stronger non-bonded interaction of H\u003csub\u003e2\u003c/sub\u003e molecules and C atoms on graphene. In particular, for the case of the highest percentage of defects (10.27%), the gravimetric density of H\u003csub\u003e2\u003c/sub\u003e molecules was found to be 2.12 wt.% at 0.9 atm and 300 K. Overall, the physisorption nature (in particular, adsorption rate) of H\u003csub\u003e2\u003c/sub\u003e molecules depends on both the size and the concentration of defects on the graphene surface.\u003c/p\u003e\n\u003cp\u003eIn general, this study helps to understand the underlying mechanisms of hydrogen physisorption on defective graphenes, which in turn improves our understanding of how to manipulate defects in order to increase the hydrogen storage capacity.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eACKNOWLEDGMENTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research was carried out within the framework of the F-FA-2021-512 project, granted by the Agency for Innovative Development of the Republic of Uzbekistan. The simulations were performed using FISTUz cluster at the Institute of Ion-Plasma and Laser Technologies of the Academy of Sciences of Uzbekistan.\u003c/p\u003e"},{"header":"REFERENCES","content":"\u003col\u003e\n\u003cli\u003eY.-P. Chen, \u003cem\u003eNanostructured Materials for Next-Generation Energy Storage and Conversion: Hydrogen Production, Storage, and Utilization\u003c/em\u003e (Springer Berlin Heidelberg, New York, NY, (2017).\u003c/li\u003e\n\u003cli\u003eP. P. Edwards, V. L. Kuznetsov, and W. I. F. David, \u003cem\u003eHydrogen Energy\u003c/em\u003e, Phil. Trans. R. Soc. 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David Carey, \u0026ldquo;\u003cem\u003eAb initio investigation of molecular hydrogen physisorption on graphene and carbon nanotubes\u003c/em\u003e\u0026rdquo;, Physical Review B 75, (2007), 245413.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"hydrogen storage, defective graphene, hydrogen physisorption, reactive molecular dynamics","lastPublishedDoi":"10.21203/rs.3.rs-4381829/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4381829/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Research on hydrogen storage using carbon-based nanomaterials is currently attracting increasing interest. Yet, understanding the storage nature of graphene surfaces is still elusive.\nIn this study, we investigated the physisorption mechanisms of H2 molecules on defective graphenes using reactive molecular dynamics simulations. We found that an increase in the size and concentration of defects in graphene increases the physisorption of H2 molecules on the surface due to a change in the partial charges of atoms in the system. Specifically, our results showed that in the case of the highest percentage of defects (10.27%), the gravimetric density of H2 molecules is about 2.12 wt.% at ambient conditions, which is within the range of gravimetric densities obtained from experiments and other simulations. The results also indicated that the physisorption of H2 molecules is related to both the size and the concentration of defects on the graphene surface.\nThis study contributes to a better understanding of the mechanisms of hydrogen storage in graphene with various defects at the atomic level.","manuscriptTitle":"Hydrogen storage mechanisms in defective graphenes","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-13 15:18:37","doi":"10.21203/rs.3.rs-4381829/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"91aee0dc-0072-4de8-8974-8bb9f714adcc","owner":[],"postedDate":"March 13th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-13T15:18:37+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-13 15:18:37","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4381829","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4381829","identity":"rs-4381829","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}