Planet
Climate Change, Machine Learning and Advanced Materials
Postdoctoral Fellowships Applications Are Open


Apply by November 15, 2024 for full consideration.

News

Omar

Yaghi lab develops new material to dramatically improve Direct Capture of CO2

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...

Story

Aditi Krishnapriyan and Bingqing Cheng winners in the Toyota Research Institute’s Synthesis Advanced Research Challenge

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...

Omar Yaghi

Omar Yaghi Awarded Balzan Prize for 2024

Omar Yaghi, Co-director and Chief Scientist at the Bakar Institute of Digital Materials for the Planet, BIDMaP, and the James and Neeltje Tretter Professor of Chemistry, has been honored with the prestigious Balzan Prize for 2024 of Switzerland and Italy. This award recognizes Yaghi's transformative contributions to the field of...

Seminars & Events

21
Nov
BARTOSZ

Nov. 21, 2024 - Bartosz Grzybowski: Algorithms for synthesis planning, reaction discovery and chemical industry.

After decades of rather unsuccessful attempts, computers are finally making impact on the practice of synthetic chemistry. This change is made possible by the combination of increased computing power and, above all, new algorithms to encode and manipulate synthetic knowledge at various levels, from sequences...
05
Dec
Vini

Dec. 5, 2024 - Vinicius Mikuni

Biography: Dr. Mikuni is a NESAP for Learning Postdoctoral Fellow at NERSC. His current research focuses on machine learning development and application for experimental High Energy Physics, including Likelihood-free deep learning for detector simulation, unfolding, and anomaly detection on the search for new physics processes...
23
Jan
Fran

Jan. 23, 2025 - Franziska Bell: At-scale Human - AI Teams

In this talk, Dr. Franziska Bell will share the evolution of enterprise-scale human - AI teams, alongside corresponding examples and share her vision of the next generation of agentic-based AI.
30
Jan
Daniel

Jan. 30, 2025 -Daniel Whiteson

Biography: Professor Whiteson’s research is in the field of Experimental High Energy Physics. He is interested in probing the structure of matter and the nature of its interactions at the very smallest scales, to understand the fundamental nature of our universe. Whiteson is part of...

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.