Long-Time Scale Molecular Dynamics of Large-Scale Simulations Enhanced by Machine Learning of Hydroxylated Tin Oxide with Additives for Solar Cell Devices

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SPIRE - Sciences Po Institutional REpository
Published
2025-09-29
Primary Topic
Machine Learning in Materials Science
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article

Long-Time Scale Molecular Dynamics of Large-Scale Simulations Enhanced by Machine Learning of Hydroxylated Tin Oxide with Additives for Solar Cell Devices

Auguste Tetenoire, Andrea Vezzosi, Virginia Carnevali
SPIRE - Sciences Po Institutional REpository
Machine Learning in Materials Science
article

Long-Time Scale Molecular Dynamics of Large-Scale Simulations Enhanced by Machine Learning of Hydroxylated Tin Oxide with Additives for Solar Cell Devices

Auguste Tetenoire, Andrea Vezzosi, Virginia Carnevali
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Machine Learning in Materials Science
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