News
AI, Automation, and Biosensors Speed the Path to Synthetic Jet Fuel
3+ hour, 22+ min ago (893+ words) These are two powerful complementary strategies. One is data-driven optimization; the other is discovery. Together, they give us a way to move much faster than traditional trial-and-error." " Thomas Eng Their shared target is isoprenol " a clear, volatile alcohol that can…...
Accelerating Discovery: How the Materials Project Is Helping to Usher in the AI Revolution for Materials Science
2+ week, 2+ day ago (571+ words) In 2011, a small team at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) launched what would become the world's most-cited materials database. Today, the Materials Project serves over 650,000 users and has been cited more than 32,000 times " but its…...
Optimized Materials in a Flash
4+ mon, 1+ week ago (224+ words) Informed by machine learning algorithms with a super-fast learning rate, AutoBot needed to experimentally sample just 1% of the 5,000 combinations to find this "sweet spot." This process would have taken up to a year with the traditional trial-and-error approach, where researchers…...
How AI and Automation are Speeding Up Science and Discovery
4+ mon, 3+ week ago (501+ words) The Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) is at the forefront of a global shift in how science gets done'one driven by artificial intelligence, automation, and powerful data systems. By integrating these tools, researchers are transforming the…...
Six Scientific Advances Made Possible by Berkeley Lab’s Molecular Foundry
7+ mon, 1+ week ago (423+ words) In this interview, Ashfia shares with us the Foundry's mission, its capabilities, and some of the groundbreaking research that has been conducted there. The fast detector technology designed for the TEAM project also proved essential for the development of Cryo-Electron…...