Nanoscale Views

AI/ML, Multiscale Modeling, and Emergence

Artificial intelligence and machine learning are rapidly reshaping materials design, with major tech firms and startups pursuing inverse‑design platforms that translate target properties into synthesizable compounds. Recent reviews highlight efforts from Google DeepMind, Microsoft, Meta, Toyota Research Institute, IBM and emerging startups like Periodic. Beyond discovery, AI‑driven multiscale modeling aims to bridge quantum chemistry, molecular dynamics, and continuum physics, enabling coarse‑grained simulations that retain microscopic fidelity. The broader ambition is to let AI uncover emergent phenomena that traditional theory struggles to predict, while also confronting the new challenge of interpreting those AI‑derived insights.