Tuning spin crossover properties in Hofmann-type framework by guest-adaptive deformation

preprint OA: closed
Full text JSON View at publisher
Full text 7,696 characters · extracted from preprint-html · click to expand
Tuning spin crossover properties in Hofmann-type framework by guest-adaptive deformation | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Chinese Journal of Chemistry This is a preprint and has not been peer reviewed. Data may be preliminary. 14 January 2025 V1 Latest version Share on Tuning spin crossover properties in Hofmann-type framework by guest-adaptive deformation Authors : Kai-Ping Xie 0009-0002-4582-7792 [email protected] , Hai-Ling Wang , Ze-Yu Ruan , Pei-Yu Liao , Guang Yang , Zi-Cheng Xiao , Yi-Fei Deng , Si-Guo Wu , Yan Shi , and Ming-Liang Tong 0000-0003-4725-0798 Authors Info & Affiliations https://doi.org/10.22541/au.173682006.64773251/v1 Published Chinese Journal of Chemistry Version of record Peer review timeline 439 views 229 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Three three-dimensional Hofmann-type metal-organic frameworks (MOFs) [Fe(bpn){Ag(CN) 2 } 2 ]·Ph 2 S ( 1·Ph 2 S , bpn = 1,4-di(pyridin-4-yl)naphthalene, Ph 2 S = diphenylsulfide), [Fe(bpn){Ag(CN) 2 } 2 ]·Ph 2 SO ( 1·Ph 2 SO , Ph 2 SO = diphenylsulfoxide) and [Fe(bpn){Ag(CN) 2 } 2 ]·Ph 2 SO 2 ( 1·Ph 2 SO 2 , Ph 2 SO 2 = diphenylsulfone) were synthesized by employing sulfur-containing aromatic guests varying in oxidation states. 1·Ph 2 S performed a complete four-step spin crossover (SCO) behavior with the sequence of HS↔LS 1/3 HS 2/3 ↔LS 1/2 HS 1/2 ↔LS 2/3 HS 1/3 ↔LS, while an incomplete two-step SCO profile with the sequence of HS↔LS 1/3 HS 2/3 ↔LS 2/3 HS 1/3 and a faint SCO behavior at low temperature for 1·Ph 2 SO and 1·Ph 2 SO₂ . Photomagnetic experiments indicate the light-induced excited spin-state trapping (LIESST) effect in 1·Ph 2 S and the bi-directional LIESST effect for 1·Ph 2 SO and 1·Ph 2 SO₂ . Variable-temperature structural analyses reveal the evolution of host-guest synergy and highlight the mechanism of adaptive deformation of guests mediated by phenyl rotation amid spin transition. As the oxidation state of sulfur-containing guests increases, the host-guest cooperation within the lattice is limited by the steric effect, which stabilizes the high-spin state and consequently diminishes the SCO capability in this system. These results demonstrated herein open a new perspective on host-guest chemistry within SCO frameworks. Supplementary Material File (cjc.docx) Download 6.81 MB Information & Authors Information Version history V1 Version 1 14 January 2025 Peer review timeline Published Chinese Journal of Chemistry Version of Record 8 Mar 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Chinese Journal of Chemistry Keywords guest-adaptive deformation iron light-induced excited spin-state trapping (liesst) metal-organic frameworks (mofs) spin crossover Authors Affiliations Kai-Ping Xie 0009-0002-4582-7792 [email protected] Huizhou University View all articles by this author Hai-Ling Wang Guangxi University Guangxi Key Laboratory of Electrochemical Energy Materials View all articles by this author Ze-Yu Ruan Sun Yat-sen University School of Chemistry View all articles by this author Pei-Yu Liao Sun Yat-sen University School of Chemistry View all articles by this author Guang Yang Sun Yat-sen University School of Chemistry View all articles by this author Zi-Cheng Xiao Huizhou University View all articles by this author Yi-Fei Deng Southern University of Science and Technology Department of Chemistry View all articles by this author Si-Guo Wu Sun Yat-sen University School of Chemistry View all articles by this author Yan Shi Huizhou University View all articles by this author Ming-Liang Tong 0000-0003-4725-0798 Sun Yat-sen University School of Chemistry View all articles by this author Metrics & Citations Metrics Article Usage 439 views 229 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Kai-Ping Xie, Hai-Ling Wang, Ze-Yu Ruan, et al. Tuning spin crossover properties in Hofmann-type framework by guest-adaptive deformation. Authorea . 14 January 2025. DOI: https://doi.org/10.22541/au.173682006.64773251/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.173682006.64773251/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9ff5a36f18d1aa64',t:'MTc3OTM4ODA4MA=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00