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BIDMaP Emerging Scholars Program

The BIDMaP Emerging Scholars Program is accepting fellowship applications from recent PhDs in basic science or data science fields interested in working at the interface of machine learning, the natural sciences and climate change. 

The Bakar Institute of Digital Materials for the Planet (BIDMaP) is a new institute in UC Berkeley’s...

Picture of the Campanile at UC Berkeley

BIDMaP Faculty Recruitment

The University of California at Berkeley is recruiting two tenured or tenure-track professors with an expected start date of July 1, 2024; one in ML/AI for chemistry, materials science, and chemical biology, and one in ML/AI methods for science including software platforms for their implementation and dissemination. The first position will be jointly...

Earth in a MOF pore

BASF announces commercial scale production of carbon capture MOFs

BASF has become the first company to produce metal-organic frameworks (MOFs) on a production scale of several hundred tons per year. MOFs are highly crystalline structures with nanometer-sized pores and a large surface area, which offer a high capacity for the storage of carbon dioxide, the dehumidification of air for...

Seminars & Events

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30
Nov
Ping Tuo

Nov. 30, 2023 – Ping Tuo: Simulating the degradation of photovoltaic perovskites with extended time and length scale

Perovskite is one of the most promising photovoltaic materials for the future. While low stability has long been the bottleneck issue limiting their commercialization. In the past, by using enhanced sampling coupled with machine learning (ML) potential model, I have unraveled the degradation mechanism of...
07
Dec
Peichen Zhong

Dec. 7, 2023 - Peichen Zhong: Advancing simulation and learning for complex energy materials

The pursuit of carbon neutrality has become a global imperative in the face of climate change, driving the transition to renewable energy sources and the widespread adoption of electric vehicles. Designing new cathode materials for energy storage is one promising avenue. Modern battery materials such...
01
Feb
Tess Smidt

Feb. 1, 2024 - Tess Smidt

Tess Smidt is an Assistant Professor of Electrical Engineering and Computer Science at MIT. Tess earned her BS in Physics from MIT in 2012 and her PhD in Physics from the University of California, Berkeley in 2018. Her research focuses on machine learning that incorporates...
08
Feb
Max Welling

Feb. 8, 2024 – Max Welling: Opportunities for ML in the Natural Science

Some of the most powerful techniques developed in ML are rooted in physics, such as MCMC, Belief Propagation, and Diffusion based Generative AI. We have recently witnessed that the flow of information has also reversed, with new tools developed in the ML community impacting physics...

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.