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Zeni, Claudio
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1

Divide-and-conquer potentials enable scalable and accurate ..:

Zeni, Claudio ; Anelli, Andrea ; Glielmo, Aldo..
Digital Discovery.  3 (2024)  1 - p. 113-121 , 2024
Link: https://doi.org/10.1039/..
 
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2

Modeling and characterization of the nucleation and growth ..:

Rossi, Kevin ; Förster, Georg Daniel ; Zeni, Claudio.
Carbon Trends.  11 (2023)  - p. 100268 , 2023
Link: https://doi.org/10.1016/..
 
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3

Structural characterisation of nanoalloys for (photo)cataly..:

Jones, Robert M. ; Rossi, Kevin ; Zeni, Claudio...
Faraday Discussions.  242 (2023)  - p. 326-352 , 2023
Link: https://doi.org/10.1039/..
 
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4

Ranking the information content of distance measures:

Glielmo, Aldo ; Zeni, Claudio ; Cheng, Bingqing...
PNAS Nexus.  1 (2022)  2 - p. , 2022
Link: https://doi.org/10.1093/..
 
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5

DADApy: Distance-based analysis of data-manifolds in Python:

Glielmo, Aldo ; Macocco, Iuri ; Doimo, Diego...
Patterns.  3 (2022)  10 - p. 100589 , 2022
Link: https://doi.org/10.1016/..
 
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6

Data-driven simulation and characterisation of gold nanopar..:

Zeni, Claudio ; Rossi, Kevin ; Pavloudis, Theodore...
Nature Communications.  12 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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7

Compact atomic descriptors enable accurate predictions via ..:

Zeni, Claudio ; Rossi, Kevin ; Glielmo, Aldo.
The Journal of Chemical Physics.  154 (2021)  22 - p. , 2021
Link: https://doi.org/10.1063/..
 
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8

Building Nonparametric n-Body Force Fields Using Gaussian P..:

, In: Machine Learning Meets Quantum Physics; Lecture Notes in Physics,
Glielmo, Aldo ; Zeni, Claudio ; Fekete, Ádám. - p. 67-98 , 2020
Link: https://doi.org/10.1007/..
 
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9

On machine learning force fields for metallic nanoparticles:

Zeni, Claudio ; Rossi, Kevin ; Glielmo, Aldo.
Advances in Physics: X.  4 (2019)  1 - p. 1654919 , 2019
Link: https://doi.org/10.1080/..
 
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10

Building machine learning force fields for nanoclusters:

Zeni, Claudio ; Rossi, Kevin ; Glielmo, Aldo...
The Journal of Chemical Physics.  148 (2018)  24 - p. , 2018
Link: https://doi.org/10.1063/..
 
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11

Modeling and characterization of the nucleation and growth ..:

Rossi, Kevin ; Förster, Georg Daniel ; Zeni, Claudio.
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cartre.2023.100268.  , 2023
Link: https://hdl.handle.net/2..
 
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12

MatterGen: a generative model for inorganic materials desig:

Zeni, Claudio ; Pinsler, Robert ; Zügner, Daniel...
http://arxiv.org/abs/2312.03687.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Structural characterisation of nanoalloys for (photo)cataly..:

Jones, Robert M ; Rossi, Kevin ; Zeni, Claudio...
info:eu-repo/semantics/altIdentifier/pmid/36278255.  , 2023
Link: https://hdl.handle.net/1..
 
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14

Modeling and characterization of the nucleation and growth ..:

Rossi, Kevin ; Förster, Georg Daniel ; Zeni, Claudio.
10.1016/j.cartre.2023.100268.  , 2023
Link: https://hdl.handle.net/2..
 
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15

DADApy: Distance-based analysis of data-manifolds in Python:

Glielmo, Aldo ; Macocco, Iuri ; Doimo, Diego...
info:eu-repo/semantics/altIdentifier/pmid/36277821.  , 2022
Link: https://hdl.handle.net/1..
 
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