Yang Jeong Park

Recent Advances and Perspectives in AI-driven Materials Discovery

This review examines the latest progress through three synergistic axes: acceleration of quantum mechanical simulations via universal machine learning interatomic potentials trained on large-scale density functional theory datasets, materials-aware artificial intelligence leveraging large language models, synthetic narrative datasets, and contrastive multimodal learning for zero-shot materials retrieval.