PEPR DIADEM: Priority equipment and research program on the development of innovative materials using artificial intelligence

The quest to develop efficient, sustainable materials from non-critical, non-toxic resources is one of today's most formidable challenges in the current context of energy, transport, digital or healthcare transitions. In response, France launched the pioneering Priority Equipment and Research Program (PEPR) DIADEM in 2022. This innovative initiative, focused on DIscovery Acceleration for the Deployment of Emerging Materials (DIADEM), leverages Artificial Intelligence (AI) to accelerate the innovation chain from conception to realization, revolutionizing Materials Science sustainably. With a strategic emphasis on scientific synergy, PEPR DIADEM aims to expedite the discovery and development of novel materials essential for contemporary and future societal challenges. To achieve this, the program seeks to catalyze breakthroughs in areas ranging from energy efficiency to transportation, digitalization, and healthcare, covering a broad spectrum of materials from metallic alloys to functional nanostructures. Aligned with the Green Deal framework's ambitious targets, PEPR DIADEM addresses the urgent need for accelerated sustainable materials research. By utilizing cutting-edge technologies like rapid synthesis and characterization tools, automation, digital simulations, data management, AI, additive manufacturing, and thin film engineering, the program is set to significantly reshape the materials science landscape. As PEPR DIADEM embarks on its journey of innovation, it not only advances scientific knowledge but also holds the promise of addressing current global challenges and paving the way for a more sustainable and prosperous future.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2024-09-26
DOI
https://doi.org/10.1016/j.csbj.2024.09.019
Citations
2
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.23

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article

PEPR DIADEM: Priority equipment and research program on the development of innovative materials using artificial intelligence

Mario Maglione, Fernando Lomello, Lucie Bard, Frédéric Schuster
2 citations
Computational and Structural Biotechnology Journal
Machine Learning in Materials Science
0.23
article

PEPR DIADEM: Priority equipment and research program on the development of innovative materials using artificial intelligence

Mario Maglione, Fernando Lomello, Lucie Bard, Frédéric Schuster
article en
2 citations

Abstract

The quest to develop efficient, sustainable materials from non-critical, non-toxic resources is one of today's most formidable challenges in the current context of energy, transport, digital or healthcare transitions. In response, France launched the pioneering Priority Equipment and Research Program (PEPR) DIADEM in 2022. This innovative initiative, focused on DIscovery Acceleration for the Deployment of Emerging Materials (DIADEM), leverages Artificial Intelligence (AI) to accelerate the innovation chain from conception to realization, revolutionizing Materials Science sustainably. With a strategic emphasis on scientific synergy, PEPR DIADEM aims to expedite the discovery and development of novel materials essential for contemporary and future societal challenges. To achieve this, the program seeks to catalyze breakthroughs in areas ranging from energy efficiency to transportation, digitalization, and healthcare, covering a broad spectrum of materials from metallic alloys to functional nanostructures. Aligned with the Green Deal framework's ambitious targets, PEPR DIADEM addresses the urgent need for accelerated sustainable materials research. By utilizing cutting-edge technologies like rapid synthesis and characterization tools, automation, digital simulations, data management, AI, additive manufacturing, and thin film engineering, the program is set to significantly reshape the materials science landscape. As PEPR DIADEM embarks on its journey of innovation, it not only advances scientific knowledge but also holds the promise of addressing current global challenges and paving the way for a more sustainable and prosperous future.

Computational and Structural Biotechnology JournalVol. 25
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Institut de Chimie de la Matière Condensée de Bordeaux (FR), CEA Paris-Saclay (FR), Institut Polytechnique de Bordeaux (FR), Institut de Recherche sur les Lois Fondamentales de l'Univers (FR)
Agence Nationale de la Recherche, Bundesministerium für Bildung und Forschung
Industry, innovation and infrastructure
Openalex Percentile: Top 51%
Machine Learning in Materials Science
0.23
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