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C
Claudio Zeni
universite de orleans
7
H指数
24
论文数
424
被引数
0
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10
发表时间
发表时间
IF
被引数
Divide-and-conquer potentials enable scalable and accurate predictions of forces and energies in atomistic systems
DIGITAL DISCOVERY
IF
5.6
2024-01-01
3
OA
AI
Zeni, Claudio; Anelli, Andrea; Glielmo, Aldo; de Gironcoli, Stefano; Rossi, Kevin
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Modeling and characterization of the nucleation and growth of carbon nanostructures in physical synthesis
CARBON TRENDS
IF
3.9
2023-06-01
4
OA
AI
Rossi, Kevin; Forster, Georg Daniel; Zeni, Claudio; Lam, Julien
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Structural characterisation of nanoalloys for (photo)catalytic applications with the Sapphire library
FARADAY DISCUSSIONS
IF
3.1
2023-01-01
4
OA
AI
Jones, Robert M.; Rossi, Kevin; Zeni, Claudio; Vanzan, Mirko; Vasiljevic, Igor; Santana-Bonilla, Alejandro; Baletto, Francesca
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DADApy: Distance-based analysis of data-manifolds in Python
PATTERNS
IF
7.4
2022-10-01
18
OA
AI
Glielmo, Aldo; Macocco, Iuri; Doimo, Diego; Carli, Matteo; Zeni, Claudio; Wild, Romina; D'Errico, Maria; Rodriguez, Alex; Laio, Alessandro
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Exploring the robust extrapolation of high-dimensional machine learning potentials
PHYSICAL REVIEW B
IF
3.7
2022-04-21
24
OA
AI
Zeni, Claudio; Anelli, Andrea; Glielmo, Aldo; Rossi, Kevin
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Ranking the information content of distance measures
PNAS NEXUS
IF
3.8
2022-04-14
27
OA
AI
Glielmo, Aldo; Zeni, Claudio; Cheng, Bingqing; Csanyi, Gabor; Laio, Alessandro
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Data-driven simulation and characterisation of gold nanoparticle melting
NATURE COMMUNICATIONS
IF
15.7
2021-10-18
43
OA
AI
Zeni, ClaudioW; Rossi, Kevin; Pavloudis, Theodore; Kioseoglou, Joseph; de Gironcoli, Stefano; Palmer, Richard E.; Baletto, Francesca
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Compact atomic descriptors enable accurate predictions via linear models
JOURNAL OF CHEMICAL PHYSICS
IF
3.1
2021-06-11
20
OA
AI
Zeni, Claudio; Rossi, Kevin; Glielmo, Aldo; de Gironcoli, Stefano
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On machine learning force fields for metallic nanoparticles
关于金属纳米粒子的机器学习力场
advances in physics
IF
10.8
2019-09-12
32
OA
AI
Zeni, Claudio; Rossi, Kevin; Glielmo, Aldo; Baletto, Francesca
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Efficient nonparametric n-body force fields from machine learning
来自机器学习的有效非参数n体力场
PHYSICAL REVIEW B
IF
3.7
2018-05-24
126
OA
AI
Glielmo, Aldo; Zeni, Claudio; De Vita, Alessandro
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研究方向
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合作学者
合作期刊
G
Gábor Cśanyi
H 指数: 72 · 论文数: 319
R
Richard E. Palmer
H 指数: 69 · 论文数: 779
A
Alessandro Laio
H 指数: 59 · 论文数: 276
S
Stefano de Gironcoli
H 指数: 55 · 论文数: 253
F
Francesca Baletto
H 指数: 31 · 论文数: 108
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