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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

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03
Apr
Jesse

Apr. 3, 2025 - Jesse Thaler: Centaur Science: Particle Physics meets Machine Learning

Modern machine learning has had an outsized impact on many scientific fields, and particle physics is no exception. What is special about particle physics, though, is the vast amount of theoretical knowledge that we already have about many problems in the field, as well as...
10
Apr
Clemence

Apr. 10, 2025 - Clemence Corminboeuf: Do we really design molecules?

The field of computational chemistry increasingly relies on automated data-driven pipelines designed to facilitate and accelerate the discovery of molecules and materials with tailored properties (i.e., inverse design pipelines). These efforts require extensive infrastructure, integrating quantum chemistry, statistical models, data curation and software to enable...
17
Apr
Shirley

Apr. 17, 2025 - Shirley Ho

Biography: Professor Ho joined the Physics Department as a Research Professor and as an Affiliated Faculty at Center for Data Science at NYU in 2021. Ho joined Simons Foundation in 2018 as leader of the Cosmology X Data Science group at CCA and in 2021...
24
Apr
Maria

Apr. 24, 2025 - Maria Chan

Biography: Dr. Chan is a scientist at the Center for Nanoscale Materials at Argonne National Laboratory who studies nanomaterials and renewable energy materials, including solar cells, batteries, thermoelectrics, and catalysts. Her particular focus is on using artificial intelligence/machine learning ( AI/ ML) for efficient materials...

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.