Caltech AI Breaks 60-Year Quantum Chemistry Scaling Barrier

Caltech's Anima Anandkumar team introduced Kohn-Sham FNO, a Fourier Neural Operator approach that replaces DFT's costly iterative solver, cutting quantum chemistry complexity from cubic to near-linear and solving a 60-year scaling problem.

2026-08-25 ~ 2026-08-26 · 3 related posts

• Solving a 60-Year Challenge: AI Model Enables Quasi-Linear Quantum Chemistry Simulations — AnimaAnandkumar · 2026-08-25
• AI tackles 60-year quantum chemistry challenge, enabling linear scaling — deliprao · 2026-08-25
• AI reduces quantum chemistry complexity from cubic to near-linear — 新智元 · 2026-08-26