News

Zach

BIDMaP’s Zhiling (Zach) Zheng Wins Prestigious Inflection Award for AI-Driven Climate Solutions

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...

Test2

Advancing reticular chemistry with large language models

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...

UpdatedOmar

Chemistry will no longer be an exclusive club’: how AI is changing Omar Yaghi’s work

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...

Seminars & Events

13
Mar
Eva

March. 13, 2025 - Eva Silverstein: Hamiltonian Dynamics for precision optimization

After reviewing and updating the theory of energy-conserving Hamiltonian dynamics for optimization and sampling, I'll explain a new application of Energy Conserving Descent (ECD) optimization to precision scientific data analysis in which NN initialization variance has been a bottleneck. Specifically, we choose a particular ECD...
17
Mar
Frank

March. 17, 2025 - Frank Noé: Molecular Science in the Age of AI


Frank Noé will explore how AI-powered computational methods are transforming biomolecular research, emphasizing the role of AI in decoding complex biological functions. He will discuss how sophisticated machine learning techniques enhance the analysis of biomolecular dynamics, such as protein folding, offering unprecedented insights into molecular...
20
Mar
Young

March. 20, 2025 - Yousung Jung: Data-Enabled Synthesis Predictions for Molecules and Materials

Chemical and materials informatics leverages data to correlate a compound’s structure with its properties, enabling the exploration of vast chemical spaces through modeling. Although this approach has the potential to reveal novel materials with desired characteristics, it frequently generates designs that cannot be synthesized, leading...
03
Apr
Jesse

Apr. 3, 2025 - Jesse Thaler

Biography: Professor Thaler is a theoretical particle physicist who fuses techniques from quantum field theory and machine learning to address outstanding questions in fundamental physics. His current research is focused on maximizing the discovery potential of the Large Hadron Collider (LHC) through new theoretical frameworks...

About BIDMaP

COST_EFFICIENT2x
Cost-efficient climate change

The Bakar Institute of Digital Materials for the Planet (BIDMaP) aims to speed up the development of reticular chemistry and modular structures for achieving cost-efficient, easily deployable ultra-porous metal-organic frameworks (MOFs) and covalent organic frameworks (COFs).

These programs will help limit and address the impacts of climate change and extend to downstream technologies like conversion of CO2 to clean fuels, biodegradable polymers, enzymes, and pharmaceuticals. BIDMaP brings together top computation and machine learning experts with chemistry and other physical science researchers to exploit the vast potential these reticular structures have in achieving clean air, clean energy, and clean water.

NEW_FRONTIER2x
A new frontier

MOFs are crystalline structures in which a combination of multi-metal units and organic linkers are stitched together by strong bonds to make frameworks encompassing ultra-high surface areas (up to 7,000 square meters per gram of MOF material), folded and compacted into tiny spaces.

Each of the more than 100,000 frameworks in existence can selectively attract, filter, store or release specific molecules like carbon dioxide and water, operating in different environments and with high precision.

COFs are yet another class of ultra-porous crystals made entirely from strongly bonded organic molecules with no metals; their versatility offers another frontier in applications for electronics and climate-related catalytic conversions of carbon dioxide.