{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T12:56:39Z","timestamp":1776084999647,"version":"3.50.1"},"reference-count":36,"publisher":"American Chemical Society (ACS)","issue":"7","license":[{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:00:00Z","timestamp":1774915200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62303152"],"award-info":[{"award-number":["62303152"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Capacity Training Program for Graduate Students of the Hebei Provincial Department of Education","award":["CXZZBS2026037"],"award-info":[{"award-number":["CXZZBS2026037"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Chem. Inf. Model."],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1021\/acs.jcim.6c00199","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T06:23:52Z","timestamp":1774938232000},"page":"3759-3773","source":"Crossref","is-referenced-by-count":0,"title":["GHGEAT: Gibbs\u2013Helmholtz-Constrained Graph External Attention for Temperature-Dependent Activity Coefficient Prediction at Infinite Dilution"],"prefix":"10.1021","volume":"66","author":[{"given":"Junhao","family":"Wang","sequence":"first","affiliation":[{"name":"School of Artifical Intelligence","place":["Tian Jin, China"]},{"name":"Hebei University of Technology","place":["Tian Jin, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7353-7249","authenticated-orcid":true,"given":"JinLin","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Artifical Intelligence","place":["Tian Jin, China"]},{"name":"Hebei University of Technology","place":["Tian Jin, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0109-5334","authenticated-orcid":true,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Artifical Intelligence","place":["Tian Jin, China"]},{"name":"Hebei University of Technology","place":["Tian Jin, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"316","published-online":{"date-parts":[[2026,3,31]]},"reference":[{"key":"ref1\/cit1","doi-asserted-by":"publisher","DOI":"10.1021\/acssuschemeng.2c02600"},{"key":"ref2\/cit2","doi-asserted-by":"publisher","DOI":"10.1021\/ja048266j"},{"key":"ref3\/cit3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2020.115579"},{"key":"ref4\/cit4","doi-asserted-by":"publisher","DOI":"10.1021\/es503369t"},{"key":"ref5\/cit5","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690210607"},{"key":"ref6\/cit6","doi-asserted-by":"publisher","DOI":"10.1021\/ie00067a018"},{"key":"ref7\/cit7","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690480220"},{"key":"ref8\/cit8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-18366-7"},{"key":"ref9\/cit9","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-07887-6"},{"key":"ref10\/cit10","doi-asserted-by":"publisher","DOI":"10.1039\/D1DD00037C"},{"key":"ref11\/cit11","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00237"},{"key":"ref12\/cit12","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jmedchem.9b00959"},{"key":"ref13\/cit13","doi-asserted-by":"publisher","DOI":"10.1039\/D2DD00045H"},{"key":"ref14\/cit14","doi-asserted-by":"publisher","DOI":"10.1016\/j.fluid.2023.113731"},{"key":"ref15\/cit15","doi-asserted-by":"publisher","DOI":"10.1039\/D2DD00142J"},{"key":"ref16\/cit16","doi-asserted-by":"publisher","DOI":"10.1039\/D3DD00103B"},{"key":"ref17\/cit17","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.4c00107"},{"key":"ref18\/cit18","doi-asserted-by":"publisher","DOI":"10.1021\/ie00071a018"},{"key":"ref19\/cit19","doi-asserted-by":"publisher","DOI":"10.1021\/je0602317"},{"key":"ref20\/cit20","doi-asserted-by":"publisher","DOI":"10.1021\/ie001047w"},{"key":"ref21\/cit21","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.1c02039"},{"key":"ref22\/cit22","doi-asserted-by":"publisher","DOI":"10.1002\/cite.202200230"},{"key":"ref23\/cit23","doi-asserted-by":"publisher","DOI":"10.1002\/aic.17789"},{"key":"ref24\/cit24","doi-asserted-by":"publisher","DOI":"10.1039\/D2DD00058J"},{"key":"ref25\/cit25","doi-asserted-by":"publisher","DOI":"10.1039\/D4SC04554H"},{"key":"ref26\/cit26","doi-asserted-by":"publisher","DOI":"10.1039\/D4SC05115G"},{"key":"ref27\/cit27","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-024-00938-6"},{"key":"ref28\/cit28","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.4c01528"},{"key":"ref29\/cit29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhydene.2025.152950"},{"key":"ref30\/cit30","doi-asserted-by":"publisher","DOI":"10.1016\/j.seppur.2021.118727"},{"key":"ref31\/cit31","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref32\/cit32","doi-asserted-by":"crossref","unstructured":"Akiba, T.; Sano, S.; Yanase, T.; Ohta, T.; Koyama, M.Optuna: A next-generation hyperparameter optimization framework. In\n                      Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining\n                      2019; pp 2623\u20132631.","DOI":"10.1145\/3292500.3330701"},{"key":"ref33\/cit33","doi-asserted-by":"publisher","DOI":"10.1016\/j.cej.2024.158667"},{"key":"ref34\/cit34","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.5c00077"},{"key":"ref35\/cit35","unstructured":"Hoffmann, M.; Specht, T.; G\u00f6ttl, Q.; Burger, J.; Mandt, S.; Hasse, H.; Jirasek, F. A machine-learned expression for the excess Gibbs energy. arXiv:2509.06484. arXiv.org e-Print archive. https:\/\/arxiv.org\/abs\/2509.06484. 2025."},{"key":"ref36\/cit36","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemphys.2021.111159"}],"container-title":["Journal of Chemical Information and Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jcim.6c00199","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jcim.6c00199","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T12:09:42Z","timestamp":1776082182000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.jcim.6c00199"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,31]]},"references-count":36,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2026,4,13]]}},"alternative-id":["10.1021\/acs.jcim.6c00199"],"URL":"https:\/\/doi.org\/10.1021\/acs.jcim.6c00199","relation":{},"ISSN":["1549-9596","1549-960X"],"issn-type":[{"value":"1549-9596","type":"print"},{"value":"1549-960X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,31]]}}}