Exploring Functionalized Gold Nanoparticles Using a Fine-tuned MACE Machine Learning Interatomic Potential

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SPIRE - Sciences Po Institutional REpository
Published
2026-01-19
Primary Topic
Machine Learning in Materials Science
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article
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article

Exploring Functionalized Gold Nanoparticles Using a Fine-tuned MACE Machine Learning Interatomic Potential

Nguyen‐Thi Van‐Oanh, Cuong Ha-Minh, Hoang-Duc Le-Vu, van Hung Tran
SPIRE - Sciences Po Institutional REpository
Machine Learning in Materials Science
article

Exploring Functionalized Gold Nanoparticles Using a Fine-tuned MACE Machine Learning Interatomic Potential

Nguyen‐Thi Van‐Oanh, Cuong Ha-Minh, Hoang-Duc Le-Vu, van Hung Tran
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Hong Bang International University (VN), Institut de Chimie (FR), Laboratoire de Mécanique Paris-Saclay (FR)
Openalex Percentile: Top 53%
Machine Learning in Materials Science
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Exploring Functionalized Gold Nanoparticles Using a Fine-tuned MACE Machine Learning Interatomic Potential — Nguyen‐Thi Van‐Oanh, Cuong Ha-Minh, et al. · SPIRE - Sciences Po Institutional REpository (2026) | TGRS Research Map | TGRS