Increasingly, scientists are turning to the human brain as a model for solving computing challenges related to artificial intelligence and nanodevices. But doing so requires materials that can mimic our neural circuits at the very smallest scale.
Generative AI techniques, machine learning and simulations give researchers new opportunities to identify environmentally friendly metal-organic framework materials.
From providing a foundation for innovative computing research to fostering new connections and opening the door to diverse career paths, ATPESC has become a defining chapter in the professional journeys of many attendees.
An Argonne team developing materials for solid-state batteries took an unexpected detour to investigate tiny short-circuits known as soft-shorts. Their insights will benefit battery researchers around the world.