November 28, 2022
Nanoengineers at the University of California San Diego’s Jacobs School of Engineering have developed an AI algorithm that almost instantaneously predicts the structure and dynamic properties of any material. Known as M3GNet, the algorithm was used to develop a materials database, matterverse.ai.
September 13, 2016
Nanoengineers at the University of California San Diego, in collaboration with the Materials Project at Lawrence Berkeley National Laboratory, have created the world’s largest database of elemental crystal surfaces and shapes to date. Dubbed Crystalium, this new open-source database can help researchers design new materials for technologies such as fuel…
August 5, 2016
…Northwest National Laboratory (PNNL) aiming to almost triple the energy packed in electric car batteries and make them smaller, lighter and less expensive. This would allow manufacturers to make more affordable electric vehicles that can travel two to three times farther.
December 10, 2014
Composite subatomic structures created by powerful collisions of protons have fallen apart in unexpected ways within a detector in the Large Hadron Collider called LHCb.
June 25, 2020
Researchers from Harvard University and the University of Texas Medical Branch at Galveston recently used the Comet supercomputer at the San Diego Supercomputer Center at the University of California San Diego to uncover the novel ways in which DNA prepares itself for repair.
February 7, 2012
…system that converts human energy into no-cost carbon-free electricity. The gym is a perfect environment to harness human energy, and the new equipment allows users to burn calories and create renewable energy at the same time, according to John Gaines, Recreation Equipment Specialist at UC San Diego. “Users get to…
August 2, 2012
…the World through Renewable Energy Photo by Erik Jepsen/UC San Diego Publications Pradeep Khosla spent part of his first day as UC San Diego chancellor venturing off campus to see the work of UC San Diego alumni in action, including a visit to the offices of Sapphire Energy, located on…
June 10, 2019
Nanoengineers at UC San Diego have developed new deep learning models that can accurately predict the properties of molecules and crystals. They can enable researchers to rapidly scan the nearly-infinite universe of compounds to discover potentially transformative materials for various applications.
January 14, 2021
By combining large amounts of low-fidelity data with smaller quantities of high-fidelity data, nanoengineers at UC San Diego have developed a machine learning method to more accurately predict the properties of new materials including, for the first time, disordered materials.
December 9, 2019
UC San Diego’s Richard Lingenfelter, a research physicist emeritus at the Center for Astrophysics and Space Sciences, confirms the source of the universe’s cosmic rays—the most energetic particles known.
