October 3, 2011
Scientists at the University of California, San Diego have developed what they believe to be the first polymeric material that is sensitive to biologically benign levels of near infrared (NRI) irradiation, enabling the material to disassemble in a highly controlled fashion.
October 10, 2013
…UC San Diego’s Hazardous Material Response Team include (left to right) Corey Singleton, Sasha Gardner, Caitlin Allen, Jennifer Woods, and Oliver Fajardo. For the second year in a row, UC San Diego’s Hazardous Material Response Team has won the right to call itself the best in the county. The team…
September 5, 2023
A “living material,” made of a natural polymer combined with genetically engineered bacteria, could offer a sustainable and eco-friendly solution to clean pollutants from water.
January 23, 2024
Certain materials have desirable properties that are hidden and scientists can use light to uncover these properties. Researchers at UC San Diego have used an advanced optical technique to learn more about a quantum material called Ta2NiSe5 (TNS).
May 2, 2016
…potentially useful property: When stretched in one direction, the material thickens in the perpendicular direction, rather than thinning as familiar materials do. And when squeezed in one dimension, it shrinks in the other rather than expanding, and gets denser in the process.
May 2, 2022
Researchers at UC San Diego and Boise State University have developed a new approach to making novel lithium-ion battery materials. The approach transforms a non-crystalline material into a crystalline anode material with exceptional battery properties—by cycling it with lithium.
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.
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.
September 13, 2016
…goal of the project is to design an intelligent material delivery system, which supports and closely integrates with skilled workers in factories. The researchers will investigate innovative, multi-disciplinary approaches to dramatically advance the state of the art in smart manufacturing and human-centered robotics.
January 29, 2021
An international team of researchers produced islands of amorphous, non-crystalline material inside a class of new metal alloys known as high-entropy alloys. This discovery opens the door to applications in everything from landing gears, to pipelines, to automobiles.
