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Seongmin Kim

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Open access Aug 2026

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Artificial intelligence (AI) is transforming the way materials are designed, understood, and manufactured. This Perspective examines how recent advances in data‐driven modeling, high‐performance simulation, and autonomous experimentation are converging to accelerate the discovery of functional materials for next‐generation technologies—from energy storage and biomedicine to nanoelectronics and quantum devices. We outline ongoing strategies to embed AI across the materials design workflow—from synthesis and characterization to large‐scale simulations enabled by machine learning techniques and approaching ab initio accuracy—and discuss key challenges that remain on the path toward intelligent (bio)materials discovery.

Cristiano Malica, Kostya S. Novoselov, Seongmin Kim et al. · 0 citations
Review Open access Aug 2026

AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization

This review examines emerging AI methodologies for accelerated materials discovery, with particular emphasis on how computational design, data infrastructure, synthesis planning, and autonomous experimentation can be connected into experimentally grounded workflows.

Jaehwan Choi, Seongmin Kim, Junkil Park et al. · 1 citation