BIDMaP is pleased to welcome six outstanding postdoctoral fellows whose expertise in materials science, chemistry, computation, and AI will accelerate discovery across Berkeley and beyond. Fellows are central to BIDMaP’s mission...
This summer, BIDMaP bids a fond farewell to four of our outstanding postdoctoral researchers: Zach Zheng, Théo Jaffrelot Inizan, Peichen Zhong, and Shengchao...
BIDMaP congratulates our Co-Director, Omar Yaghi, on being named University Professor—UC’s highest faculty honor. Omar is “the perfect scholar” for this title, having invented the field of reticular...
BIDMaP Postdoctoral Fellow, Zhiling (Zach) Zheng, has been honored with the prestigious 2025 Carbon Future Young Investigator Award. This international...
The rise of artificial intelligence (AI) and automation is transforming industries worldwide, and the field of science is no exception.
At the recent BIDMaP session at the University of California...
A high-profile session during SF Climate Week's "AI and Climate Symposium: From Cutting-Edge Research to Commercialization" brought together leading scientists to showcase how artificial intelligence (AI) is revolutionizing carbon capture and conversion...
BIDMaP, together with Bakar Climate Labs,
hosted the inaugural “AI and Climate Symposium: From Cutting-Edge Research to Commercialization.”
The symposium brought together AI experts, climate tech...
BIDMaP congratulates our Postdoctoral Fellow Zhiling (Zach) Zheng on receiving the prestigious Inflection Award for his impactful research on climate change solutions. Organized by Marble and supported by Breakthrough Energy Fellows and the Quadrature Climate Foundation, the Inflection Award identifies and connects the world's top scientific leaders of tomorrow with...
Large Language Models are transforming reticular chemistry by accelerating materials discovery through AI driven insights. These generative models assist scientists in extracting knowledge, designing materials, and analyzing experimental data, shifting research from traditional trial and error to data driven discovery cycles. By integrating chemistry aware AI into labs, including self...
A new feature article explores Omar Yaghi’s pioneering efforts to integrate artificial intelligence with reticular chemistry, a field he helped establish. By harnessing AI-driven models, Yaghi and his collaborators at BIDMaP are accelerating the design and discovery of new porous materials, revolutionizing applications in clean energy, carbon capture, and water...
When: December 3 and 5th, 2024 | 9:30AM – 11:00AM Location: Pimentel Hall 1
EarthTech2024
We are excited to announce the second annual EarthTech Symposium. Building on the
success of last year’s inaugural event, EarthTech2024 will once again bring together
experts from across campus...
Omar Yaghi, the James and Neeltje Tretter Professor of Chemistry at UC Berkeley, and graduate student Zihui Zhou are senior author and first author respectively of a paper that will appear online on Oct. 23 in the journal Nature. UC Berkeley researchers created a highly efficient material for capturing CO2 from air...
The Synthesis Advanced Research Challenge (SARC), a multiyear, multimillion-dollar initiative by the Toyota Research Institute (TRI), has selected four winning applications to focus on the development of cutting-edge tools for predictive synthesis. BIDMaP’s Aditi Krishnapriyan and Bingqing Chen, were one of the winners with their project: Machine Learning and Atomistic...
