Argonne: Predicting Microelectronics Performance with Physics-Informed AI

<p>Argonne-led collaboration will use AI and U.S. Department of Energy user facilities to understand how tiny flaws affect electronics over time Aug. 7, 2026 &#8212; How a microelectronic device performs depends on what it is made of, how well its materials and interfaces are built and how electricity, heat and tiny defects change over time. These [&#8230;]</p> <p>The post <a href="https://www.hpcwire.com/off-the-wire/argonne-predicting-microelectronics-performance-with-physics-informed-ai/">Argonne: Predicting Microelectronics Performance with Physics-Informed AI</a> appeared first on <a href="https://www.hpcwire.com">HPCwire</a>.</p>