Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artikel i vetenskaplig tidskrift, 2026
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.
Författare
Cristiano Malica
Universität Bremen
Kostya S. Novoselov
Universiti Kebangsaan Singapura (NUS)
Seongmin Kim
Seoul National University
Yousung Jung
Seoul National University
Silvana Botti
Ruhr-Universität Bochum
Miguel A. L. Marques
Ruhr-Universität Bochum
Tigany Zarrouk
Aalto-Yliopisto
Miguel A. Caro
Aalto-Yliopisto
Sanggyu Chong
Ecole Polytechnique Federale de Lausanne (EPFL)
Michele Ceriotti
Ecole Polytechnique Federale de Lausanne (EPFL)
Marivi Fernandez-Serra
Stony Brook University
State University of New York (SUNY)
Sara Navarro-Rodriguez
Catalan Institute of Nanoscience and Nanotechnology (ICN2)
Stony Brook University
Aakash Ashok Naik
Friedrich-Schiller-Universität Jena
Bundesanstalt für Materialforschung und -prüfung (BAM)
Janine George
Bundesanstalt für Materialforschung und -prüfung (BAM)
Friedrich-Schiller-Universität Jena
Omer Hasan Omar
University of Liverpool
Victor Trinquet
Universite catholique de Louvain
Gian-Marco Rignanese
Universite catholique de Louvain
Andrey Ustyuzhanin
Constructor Institute
Universiti Kebangsaan Singapura (NUS)
Sonia Conesa-Boj
TU Delft
Juan Rojo
Vrije Universiteit Amsterdam
Nikhef, Dutch National Institute for Subatomic Physics
Jose H. Garcia
Catalan Institute of Nanoscience and Nanotechnology (ICN2)
Romain Gautier
Centre national de la recherche scientifique (CNRS)
Rachid Laref
Université d'Artois
Centre national de la recherche scientifique (CNRS)
Junfeng Qiao
Ecole Polytechnique Federale de Lausanne (EPFL)
Paul Scherrer Institut
Giovanni Pizzi
Paul Scherrer Institut
Nicola Marzari
Ecole Polytechnique Federale de Lausanne (EPFL)
University of Cambridge
Paul Scherrer Institut
Camilla Coletti
Center for Nanotechnology Innovation (CNI)
Antonio Rossi
Center for Nanotechnology Innovation (CNI)
Chiara Zanardi
Consiglio Nazionale delle Ricerche (CNR)
Universita Ca' Foscari Venezia
Vincenzo Palermo
Wide Hogenhout
Europeiska kommissionen (EU)
Natalia Konchakova
Helmholtz-Gemeinschaft Deutscher Forschungszentren
Peter Klein
Fraunhofer-Gesellschaft
Tejs Vegge
Danmarks Tekniske Universitet (DTU)
Stephan Roche
Catalan Institute of Nanoscience and Nanotechnology (ICN2)
ADVANCED INTELLIGENT SYSTEMS
2640-4567 (eISSN)
Vol. In PressKähler-Einstein metrics, random point processes and variational principles (RANDOM-KAHLER)
Europeiska kommissionen (EU), 2013-01-01 -- 2017-12-31.
Europeiska kommissionen (EU), 2013-01-01 -- 2017-12-31.
Ämneskategorier (SSIF 2025)
Artificiell intelligens
DOI
10.1002/aisy.70496