AI Summary: Researchers at Lawrence Livermore National Laboratory (LLNL) and the University of California, Davis have developed a new computational framework that integrates atom-scale simulations with macroscopic hydrodynamics to enhance the understanding of inertial confinement fusion processes. This framework allows for concurrent simulations of atomic behavior and large-scale conditions, addressing previous limitations in modeling the complex interactions during fusion experiments. The approach, tailored for LLNL's Tuolumne supercomputer, has potential applications across various fields, including fusion research, planetary science, and astrophysics. It enables the study of nonequilibrium material behavior, such as phase transitions and chemical reactions, providing deeper insights into material properties under extreme conditions.
No. 2 · Computer Science
23/30
The UK government is backing AI that can run its own lab experiments
· 01/20/2026
AI Summary: The Advanced Research and Invention Agency (ARIA) has selected 12 projects for funding, doubling its initial budget due to the high quality of 245 proposals received. Each project, receiving approximately £500,000, aims to demonstrate the capabilities of AI in scientific research over a nine-month period. Notable projects include Lila Sciences' AI nano-scientist for optimizing quantum dot experiments, a robot chemist from the University of Liverpool that conducts multiple experiments simultaneously, and ThetaWorld, a London-based startup developing an AI scientist to explore battery performance. ARIA's approach is intended to assess the evolving role of AI in science and inform future funding strategies.
Topics:
AI in ScienceAI Nano-ScientistRobot ChemistAI for Battery Performance
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