even more site updates

Author: computron

.DS_Store

@@ -115,12 +115,13 @@ <h2>About Us</h2>
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-                        <p class="about_us_p">Led by Dr. Anubhav Jain and located in Berkeley, California (just outside of San Francisco), the Hacking Materials group at LBNL leverages advances in theoretical materials science, supercomputing, and informatics to understand and design new materials for renewable energy applications. We work closely with experimental groups to bring materials from the computer to the laboratory. We currently work mainly on thermoelectric materials, thermal storage materials, and data analytics for solar installations. We also apply natural language processing techniques to extract information from millions of articles in the scientific literature. Our current projects include:</p>
+                        <p class="about_us_p">Led by Dr. Anubhav Jain and based in Berkeley, California (near San Francisco), the Hacking Materials group builds and applies theory, high performance computing, and AI to accelerate the discovery, design, and synthesis of energy-relevant materials. We develop community data and software infrastructure, collaborate closely with experimental and autonomous labs to translate computational hypotheses into synthesized materials and validated measurements, and use large-scale literature and database mining to guide data-driven research. Current research areas include:</p>
                         <ul>
-                            <li>The Materials Project, an effort to calculate the properties of all known inorganic materials and beyond</li>
-                            <li>Applying natural language processing techniques to the extraction of knowledge from scientific texts</li>
-                            <li>Perform computational screening of new materials for electrochemical water purification.</li>
-                            <li>Developing codes to analyze the crystal structures of inorganic compounds</li>
+                            <li>The Materials Project - open-access computed materials property data and analysis tools that support data-driven materials design</li>
+                            <li>FORUM-AI - an open-source, agentic AI platform for materials science that orchestrates reasoning agents across literature, databases, large-scale simulations, and robotic experiments</li>
+                            <li>Data-driven synthesis science - combining NLP-driven extraction of synthesis knowledge with modeling, characterization, and autonomous experimentation to learn and suggest inorganic synthesis pathways</li>
+                            <li>DuraMAT data and analytics - PV module durability and degradation research with an emphasis onreliability-focused data science</li>
+                            <li>Open-source software for high-throughput materials workflows and crystal-structure analysis (for example pymatgen, FireWorks, atomate2, and related tools)</li>
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                         <figcaption>Members of the Hacking Materials group at LBNL (2023)</figcaption>