News

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...

Sarah Jones

Sarah Jones Appointed as Inaugural Executive Director of BIPMaP

Sarah Jones has recently been appointed Executive Director of the Bakar Institute of Digital Materials for the Planet (BIDMaP) at UC Berkeley. Jones joins UC Berkeley’s College of Computing, Data Science, and Society (CDSS) following a distinguished career at Arizona State University and in the nuclear medicine industry. Research scientists...

CCAI innovation grants 2024

CCAI Launches 2024 Innovation Grants Program

Climate Change AI has announced its 2024 Innovation Grants program, which will fund year-long projects at the intersection of climate change and machine learning. The program offers up to $150,000 per project, with a total funding pool of up to $1.4 million. This initiative is supported by Quadrature Climate Foundation...

Seminars & Events

17
Oct
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Oct. 17, 2024 - William Ratcliff: Applications of Artificial Intelligence to Neutron Scattering

Neutron scattering is a versatile technique for studying the structure and dynamics of materials. Unfortunately, there are a limited number of neutron sources available in the world to perform scientific experiments. In this talk, I will discuss the use of artificial intelligence to more efficiently...
24
Oct
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Oct. 24, 2024 - Gerald Friedland: Information-driven Machine Learning

In this talk, I present a selection of ideas and algorithms that are presented in my recently published textbook of the same title [1]. The book introduces information measurement methodologies for machine learning that reduce the reliance on hyperparameters and model-type biases. This information-driven perspective...
31
Oct
Kieron Burke

Oct. 31, 2024 - Kieron Burke

Information will be added soon
07
Nov
Sherry Yang

Nov. 7, 2024 - Sherry Yang: Harnessing Generative Models for Scalable Materials Discovery

Generative models are increasingly used to produce novel scientific data, including crystal structures. In this talk, I will present two methods leveraging generative models for materials discovery. First, I will talk about UniMat, a unified crystal structure representation, which enables scalable generation of high-fidelity crystal...

About BIDMaP

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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.

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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.