{"id":9177,"date":"2026-09-28T12:00:00","date_gmt":"2026-09-28T03:00:00","guid":{"rendered":"https:\/\/aizoth.com\/?p=9177"},"modified":"2026-09-15T13:51:38","modified_gmt":"2026-09-15T04:51:38","slug":"gwp_acs_2025","status":"publish","type":"post","link":"https:\/\/aizoth.com\/en\/2026\/09\/gwp_acs_2025\/","title":{"rendered":"AIZOTH Research on Refrigerant GWP Prediction Using Multi-Sigma\u00ae Published in ACS Sustainable Chemistry & Engineering"},"content":{"rendered":"\n

Research using a deep learning model built on AIZOTH\u2019s AI analytics platform, Multi-Sigma\u00ae<\/a><\/strong> to accurately predict the 100-year Global Warming Potential (GWP100) of single-component refrigerants has been published in ACS Sustainable Chemistry & Engineering<\/a><\/strong>, a peer-reviewed journal of the American Chemical Society (ACS).<\/p>\n\n\n\n

The study was conducted by AIZOTH researchers.<\/p>\n\n\n\n

Against the backdrop of international climate targets and regulatory requirements such as the Kigali Amendment<\/strong>, the study presents a practical prediction framework for rapidly identifying refrigerant candidates with lower environmental impact.<\/p>\n\n\n\n

This research was supported under Project JPNP23001 of the New Energy and Industrial Technology Development Organization (NEDO)<\/strong>.<\/p>\n\n\n\n

Reference<\/strong>
NEDO Project JPNP23001
https:\/\/www.nedo.go.jp\/activities\/ZZJP_100244.html<\/a><\/p>\n\n\n\n

For further details, please refer to the paper below.<\/p>\n\n\n\n

Publication Details<\/strong><\/p>\n\n\n\n

Title<\/strong>
A Deep Learning Framework for Predicting Global Warming Potential of Refrigerants for Sustainable Chemical Design<\/em><\/p>\n\n\n\n

Authors<\/strong>
Navin Rajapriya and Kotaro Kawajiri<\/p>\n\n\n\n

Journal<\/strong>
ACS Sustainable Chemistry & Engineering<\/em> (2025), 13, 45, 19528\u201319535<\/p>\n\n\n\n

Publication Year<\/strong>
2025<\/p>\n\n\n\n

DOI<\/strong>
https:\/\/pubs.acs.org\/doi\/10.1021\/acssuschemeng.5c05184<\/a><\/p>\n\n\n\n

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<\/p>\n","protected":false},"excerpt":{"rendered":"Research using a deep learning model built on AIZOTH\u2019s AI analytics platform, Multi-Sigma\u00ae to accurately predi … AIZOTH Research on Refrigerant GWP Prediction Using Multi-Sigma\u00ae Published in ACS Sustainable Chemistry & Engineering<\/span><\/a>","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_locale":"en_US","footnotes":""},"categories":[17],"tags":[],"class_list":["post-9177","post","type-post","status-publish","format-standard","hentry","category-news","en-US"],"acf":[],"_links":{"self":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fcomments&post=9177"}],"version-history":[{"count":6,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9177\/revisions"}],"predecessor-version":[{"id":9196,"href":"https:\/\/aizoth.com\/?rest_route=\/wp\/v2\/posts\/9177\/revisions\/9196"}],"wp:attachment":[{"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Fcategories&post=9177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aizoth.com\/?rest_route=%2Fwp%2Fv2%2Ftags&post=9177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}