{"id":248480,"date":"2026-05-18T11:07:00","date_gmt":"2026-05-18T15:07:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/18\/new-matterchat-model-helps-ai-to-see-the-language-of-science\/"},"modified":"2026-05-18T11:20:11","modified_gmt":"2026-05-18T15:20:11","slug":"new-matterchat-model-helps-ai-to-see-the-language-of-science","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/18\/new-matterchat-model-helps-ai-to-see-the-language-of-science\/","title":{"rendered":"New MatterChat Model Helps AI to \u2018See\u2019 the Language of Science"},"content":{"rendered":"<p><a href=\"https:\/\/newscenter.lbl.gov\/2026\/05\/18\/new-matterchat-model-helps-ai-to-see-the-language-of-science\/\">New MatterChat Model Helps AI to \u2018See\u2019 the Language of Science<\/a><\/p>\n<p><a href=\"https:\/\/newscenter.lbl.gov\/2026\/05\/18\/new-matterchat-model-helps-ai-to-see-the-language-of-science\/\">https:\/\/newscenter.lbl.gov\/2026\/05\/18\/new-matterchat-model-helps-ai-to-see-the-language-of-science\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-18 11:07:00<\/a><\/p>\n<p>Source Domain: <a href=\"newscenter.lbl.gov\">newscenter.lbl.gov<\/a><\/p>\n<p>From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly \u201ctalk to\u201d physics-based models.<\/p>\n<p>Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized \u201cbridge.\u201d It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models \u201cinteratomic potentials\u201d: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials.<\/p>\n<p>A paper describing this work was recently published in Nature Machine Intelligence.<\/p>\n<p>\u201cTraditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the \u2018structural vision\u2019 to interpret materials directly from their underlying atomic coordinates,\u201d said Yingheng Tang, a postdoctoral researcher in Berkeley Lab\u2019s Applied Math and Computational Research Division (AMCR) and lead author on the paper. \u201cMatterChat was built to solve this dilemma, empowering LLMs with a structural \u2018vision\u2019 that allows researchers to leverage their full potential for solving complex, real-world materials&#8230;<\/h2>\n<p><a href=\"https:\/\/newscenter.lbl.gov\/2026\/05\/18\/new-matterchat-model-helps-ai-to-see-the-language-of-science\/\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>New MatterChat Model Helps AI to \u2018See\u2019 the Language of Science https:\/\/newscenter.lbl.gov\/2026\/05\/18\/new-matterchat-model-helps-ai-to-see-the-language-of-science\/ Publish Date: 2026-05-18&#8230;<\/p>\n","protected":false},"author":1,"featured_media":248482,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/newscenter.lbl.gov\/wp-content\/uploads\/2026\/05\/1025x685px_MatterChat_v2_without_caption.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[18,17],"class_list":["post-248480","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-large-language-model","tag-llm"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/248480"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=248480"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/248480\/revisions"}],"predecessor-version":[{"id":248483,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/248480\/revisions\/248483"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/248482"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=248480"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=248480"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=248480"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}