{"id":41887,"date":"2026-09-08T10:06:55","date_gmt":"2026-09-08T08:06:55","guid":{"rendered":"https:\/\/nr.no\/en\/?post_type=bc_project&#038;p=41887"},"modified":"2026-09-08T13:51:13","modified_gmt":"2026-09-08T11:51:13","slug":"matsci-llm","status":"publish","type":"bc_project","link":"https:\/\/nr.no\/en\/projects\/matsci-llm\/","title":{"rendered":"Advancing materials science research with large language models (MatSci-LLM)"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p><strong>The MatSci-LLM project explores how large language models (LLMs) can become more useful for materials scientists. By adapting AI to specialised terminology and complex scientific data, we are helping researchers streamline information analysis, answer complex questions, and identify new directions for future research.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"779\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2026\/09\/julia-koblitz-f4jc67ICvzQ-unsplash-1024x779.jpg\" alt=\"Close-up of a scientist holding vials of liquid.\" class=\"wp-image-42216\" style=\"aspect-ratio:16\/9;object-fit:cover;width:940px\" srcset=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2026\/09\/julia-koblitz-f4jc67ICvzQ-unsplash-1024x779.jpg 1024w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2026\/09\/julia-koblitz-f4jc67ICvzQ-unsplash-300x228.jpg 300w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2026\/09\/julia-koblitz-f4jc67ICvzQ-unsplash-768x585.jpg 768w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2026\/09\/julia-koblitz-f4jc67ICvzQ-unsplash-1536x1169.jpg 1536w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2026\/09\/julia-koblitz-f4jc67ICvzQ-unsplash-2048x1559.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Photo: Julia Koblitz \/ Unsplash.<\/figcaption><\/figure>\n\n\n\n<p>Materials scientists work with vast amounts of specialised information, including scientific papers, experimental data, phase diagrams, tables and crystal structures. Reviewing and connecting this information is time-consuming and leaves less time for experiments and scientific discovery. <\/p>\n\n\n\n<p>Although current AI systems are effective at processing text, the models still struggle with various types of structured data and scientific visualisations used in materials science.<\/p>\n\n\n\n<p>MatSci-LLM investigates how AI can support researchers at different stages of their work, from identifying patterns and using calculation tools to proposing hypotheses for further investigation. The project will also contribute to the development of AI research assistants and agent-based systems for scientific tasks, giving scientists better tools for investigating questions and testing new ideas.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How we are applying LLMs to materials science<\/h2>\n\n\n\n<p>As a multidisciplinary project, MatSci-LLM brings together expertise in materials science, natural language processing and image analysis to support researchers at different stages of the research process. <\/p>\n\n\n\n<p>The project will:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>adapting language and multimodal AI models to understand materials science data, including phase diagrams, crystal structures and other scientific visualisations<\/li>\n\n\n\n<li>developing new ways of representing material structures so they can be processed more effectively by the models<\/li>\n\n\n\n<li>combining LLMs with scientific knowledge and calculation tools to improve their reasoning about materials science problems<\/li>\n\n\n\n<li>developing AI-powered research assistants and agent-based systems that can propose new hypotheses to be tested through simulations and laboratory experiments.<\/li>\n<\/ul>\n\n\n\t<div class=\"nr-spacer nr-spacer-small wp-block-nr-spacer\">\n\t<\/div>\n\t\n\n\n<p><strong>By transforming how materials data is processed and understood, MatSci-LLM bridges the gap between advanced AI and materials science, laying the groundwork to redefine the speed and scope of scientific discovery.<\/strong><\/p>\n\n\n\t<div class=\"nr-spacer nr-spacer-medium wp-block-nr-spacer\">\n\t<\/div>\n\t\n\n\n<h3 class=\"wp-block-heading\">Related fields<\/h3>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/nr.no\/en\/industries\/ai-agents\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI agents<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline is-style-outline--2\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/nr.no\/en\/areas\/statistical-modeling-machine-learning-and-artificial-intelligence-ai\/language-technology\/\" target=\"_blank\" rel=\"noreferrer noopener\">Language technology<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p><strong>Get in touch to learn more about this project<\/strong>.<\/p>\n\n\n\t<div class=\"nr-spacer nr-spacer-small wp-block-nr-spacer\">\n\t<\/div>\n\t\n\n\t\t<div id=\"post-type-multi-block_890bdeb39313aed8117f8cb655fba57b\" class=\"wp-block-post-type-multi type-manual style-card-bc_employee t2-grid\">\n\t\t\t\t\t\t\t<div class=\"t2-grid-item-col-6\">\n\t\t\t\t\t\t<a href=\"https:\/\/nr.no\/en\/employees\/pierre-lison\/\" class='card-employee'>\n\t\t\t\t\t<figure>\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2024\/05\/pierre-lison-24.jpg\" alt=\"\">\n\t\t\t<\/figure>\n\t\t\t\t<div class=\"card-employee__content\">\n\t\t\t<p class=\"card-employee__name\">Pierre Lison<\/p>\n\t\t\t\t\t\t\t<p class=\"card-employee__position\">Chief Research Scientist<\/p>\n\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 24 24\" height=\"24\" width=\"24\" class=\"t2-icon t2-icon-arrowforward\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.9 4.259a1.438 1.438 0 0 1-.147.037c-.139.031-.339.201-.421.359-.084.161-.084.529-.001.685.035.066 1.361 1.416 2.947 3l2.882 2.88-10.19.02c-8.543.017-10.206.029-10.29.075-.282.155-.413.372-.413.685 0 .313.131.53.413.685.084.046 1.747.058 10.29.075l10.19.02-2.882 2.88c-1.586 1.584-2.912 2.934-2.947 3-.077.145-.085.521-.013.66a.849.849 0 0 0 .342.35c.156.082.526.081.68-.001.066-.035 1.735-1.681 3.709-3.656 2.526-2.53 3.606-3.637 3.65-3.742A.892.892 0 0 0 23.76 12a.892.892 0 0 0-.061-.271c-.044-.105-1.124-1.212-3.65-3.742-1.974-1.975-3.634-3.616-3.689-3.645-.105-.055-.392-.107-.46-.083\"\/><\/svg>\n\t\t<\/div>\n\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\n<div class=\"wp-block-group has-primary-200-background-color has-background\">\n<p>Project: Accelerating materials science research with large language models (MatSci-LLM)<\/p>\n\n\n\n<p>Partner: The Norwegian University of Science and Technology (NTNU)<\/p>\n\n\n\n<p>Funding: The Research Council of Norway<\/p>\n\n\n\n<p>Period: 2026-2030<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2025\/11\/funding-transparent-1024x576.png\" alt=\"Logo by the Research Council of Norway. Logo and statement - Funding by the Research Council of Norway in black\" class=\"wp-image-39322\" srcset=\"https:\/\/nr.no\/content\/uploads\/sites\/2\/2025\/11\/funding-transparent-1024x576.png 1024w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2025\/11\/funding-transparent-300x169.png 300w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2025\/11\/funding-transparent-768x432.png 768w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2025\/11\/funding-transparent-1536x864.png 1536w, https:\/\/nr.no\/content\/uploads\/sites\/2\/2025\/11\/funding-transparent.png 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\t<div class=\"nr-spacer nr-spacer-small wp-block-nr-spacer\">\n\t<\/div>\n\t\n\n\n<p><\/p>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"featured_media":42216,"template":"","meta":{"_acf_changed":false,"_trash_the_other_posts":false,"editor_notices":[],"footnotes":""},"class_list":["post-41887","bc_project","type-bc_project","status-publish","has-post-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_project\/41887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_project"}],"about":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/types\/bc_project"}],"version-history":[{"count":5,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_project\/41887\/revisions"}],"predecessor-version":[{"id":42261,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/bc_project\/41887\/revisions\/42261"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/media\/42216"}],"wp:attachment":[{"href":"https:\/\/nr.no\/en\/wp-json\/wp\/v2\/media?parent=41887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}