Artificial Intelligence

AIRES revolutionizes reticular chemistry with rapid, data-driven crystal discovery

December 18, 2025
A multi-institution research team has unveiled AIRES, a powerful AI-driven platform designed to dramatically speed up the discovery of new crystalline materials.

Quantum Echoes: Towards real world applications

October 29, 2025
Professor Ashok Ajok explains how Google's Quantum AI Echoes augments NMR capabilities.

Brooks Abel earns NSF award towards polymer discovery

August 5, 2025
The U.S. National Science Foundation (NSF) has announced an initiative to tackle the global plastic waste crisis, awarding five highly competitive grants to research teams across the country.

Aditi Krishnapriyan: A two-way street between physics and machine learning

May 2, 2024
Krishnapriyan uses physics knowledge to improve machine learning methods, and machine learning methods to tackle challenges in physics and chemistry.

Ritankar Das: Chemistry as an economic powerhouse

May 2, 2024
At just 18 years old, he was the youngest person in over a hundred years to win the University Medal, and the first student from the College of Chemistry in 58 years to win the award.

Omar Yaghi appointed as University Professor

June 17, 2025
The University of California Board of Regents formally approved the appointment of Professor Omar M. Yaghi as University Professor.

Skin cancer mystery revealed in Yin and Yang protein

December 29, 2019
Researchers in the UC Berkeley lab of John Kuriyan have utilized powerful NSF funded supercomputers at the University of Texas Advanced Computing Center and the Pittsburgh Supercomputing Center to uncover the mechanism that activates cell mutations found in about 50 percent of melanomas.

Advancing reticular chemistry with large language models

February 27, 2025
UC Berkeley researchers in chemistry and computer science recently reported on their use of an AI tool to advance discovery in reticular chemistry and materials science.

New machine-learning method makes computer simulations of atoms faster and more efficient

January 3, 2025
Researchers have created a new machine-learning method called EScAIP that makes simulations of atoms faster and more efficient.

UC Berkeley scientists collaborate with Merck KGaA, Darmstadt, Germany on catalyst digital design program

May 31, 2023
Merck KGaA, Darmstadt, Germany, a leading science and technology company, has today announced a three-year collaboration with the research group of John Hartwig at UC Berkeley and Lawrence Berkeley National Laboratory.