How Machine Learning is Driving Atomic-Scale Material Simulations A team at Harvard SEAS has broken new ground with a machine learning framework that predicts how materials respond to electric fields and delivers quantum-level accuracy for massive simulations, exten... Allegro-pol atomic scale computational modeling electric fields machine learning materials discovery materials science quantum simulation
Atomic-Scale Discoveries Are Shaping the Future of Quantum Computing Quantum computing’s progress hinges on mastering the smallest details. Recent research from Brookhaven National Laboratory and Pacific Northwest National Laboratory has revealed a previously unknown i... Brookhaven Lab computational modeling interface engineering materials science nanotechnology quantum computing superconducting qubits