Materials Acceleration Platforms (MAPs): Accelerating Materials Research and Development to Meet Urgent Societal Challenges

Climate Change and Materials Criticality challenges are driving urgent responses from global governments. These global responses drive policy to achieve sustainable, resilient, clean solutions with Advanced Materials (AdMats) for industrial supply chains and economic prosperity. The research landscape comprising industry, academe, and government identified a critical path to accelerate the Green Transition far beyond slow conventional research through Digital Technologies that harness Artificial Intelligence, Smart Automation and High Performance Computing through Materials Acceleration Platforms, MAPs. In this perspective, following the short paper, a broad overview about the challenges addressed, existing projects and building blocks of MAPs will be provided while concluding with a review of the remaining gaps and measures to overcome them.

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Publication Details

Journal
Advanced Materials
Published
2024-09-06
DOI
https://doi.org/10.1002/adma.202407791
Citations
53
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
6.21
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article

Materials Acceleration Platforms (MAPs): Accelerating Materials Research and Development to Meet Urgent Societal Challenges

Oier Arcelus, Johan M. Carlsson, Christoph Scheurer, M. Fabrizio et al.
53 citations
Advanced Materials
Machine Learning in Materials Science
6.21
article

Materials Acceleration Platforms (MAPs): Accelerating Materials Research and Development to Meet Urgent Societal Challenges

Oier Arcelus, Johan M. Carlsson, Christoph Scheurer, M. Fabrizio, Simon Stier, Anssi Laukkanen, Lukas Gold, Marine Reynaud, Karsten Reuter, H. Ihssen, Ilian T. Todorov, T. P. M. Goumans, Masahiko Demura, Simon Clark, Ivano E. Castelli, Pascal Friederich, Matthias Popp, Mario Maglione, David C. Elbert, Montse Casas‐Cabanas, Helge S. Stein, Christoph Kreisbeck, Mark Kozdras, Francisco García‐Moreno, Wolfgang Wenzel, Sang Soo Han, Jens Hauch, Javier Carrasco, Sawako Nakamae, Tejs Vegge, Kourosh Malek, Andreas Räder, Shahbaz Tareq Bandesha, Philippe Jacques, Ozlem Ozcan
article en
53 citations

Abstract

Climate Change and Materials Criticality challenges are driving urgent responses from global governments. These global responses drive policy to achieve sustainable, resilient, clean solutions with Advanced Materials (AdMats) for industrial supply chains and economic prosperity. The research landscape comprising industry, academe, and government identified a critical path to accelerate the Green Transition far beyond slow conventional research through Digital Technologies that harness Artificial Intelligence, Smart Automation and High Performance Computing through Materials Acceleration Platforms, MAPs. In this perspective, following the short paper, a broad overview about the challenges addressed, existing projects and building blocks of MAPs will be provided while concluding with a review of the remaining gaps and measures to overcome them.

Advanced MaterialsVol. 36(45)
Karlsruhe Institute of Technology (DE), Ikerbasque (ES), Natural Resources Canada (CA), Centre National de la Recherche Scientifique (FR), Federal Institute For Materials Research and Testing (DE), Johns Hopkins University (US), Université de Bordeaux (FR), Korea Advanced Institute of Science and Technology (KR), Science and Technology Facilities Council (GB), Forschungszentrum Jülich (DE), SINTEF (NO), National Institute for Materials Science (JP), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Helmholtz-Zentrum Berlin für Materialien und Energie (DE), Fritz Haber Institute of the Max Planck Society (DE), Daresbury Laboratory (GB), Dassault Systèmes (Germany) (DE), Institute of Condensed Matter Chemistry and Technologies for Energy (IT), Helmholtz Institute Erlangen-Nürnberg (DE), Institut de Chimie de la Matière Condensée de Bordeaux (FR), Scientific Computing & Modelling (Netherlands) (NL), Service de Physique de l'État Condensé (FR), Association des Operateurs Postaux Publics Europeens (BE), CEA Paris-Saclay (FR), CIC energiGUNE (ES), National Research Council (IT), Brussels Office of Helmholtz Association (BE), Fraunhofer Institute for Silicate Research (DE), SINTEF Industry (NO), Korea Institute of Science and Technology (KR), Technical University of Munich (DE), VTT Technical Research Centre of Finland (FI), Technical University of Denmark (DK)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Machine Learning in Materials Science
6.21
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