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Wood, Mitchell A.
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1

Extreme Metastability of Diamond and its Transformation to ..:

Nguyen-Cong, Kien ; Willman, Jonathan T ; Gonzalez, Joseph M...
http://arxiv.org/abs/2401.08884.  , 2024
Link: http://arxiv.org/abs/240..
 
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2

Exploring Model Complexity in Machine Learned Potentials fo..:

Rohskopf, Andrew ; Goff, James ; Sema, Dionysios...
http://arxiv.org/abs/2306.02255.  , 2023
Link: http://arxiv.org/abs/230..
 
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3

Probing Iron in Earth's Core With Molecular-Spin Dynamics:

Nikolov, Svetoslav ; Ramakrishna, Kushal ; Rohskopf, Andrew...
http://arxiv.org/abs/2311.08737.  , 2023
Link: http://arxiv.org/abs/231..
 
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4

Atomic Representations of Local and Global Chemistry in Com..:

McCarthy, Megan J ; Startt, Jacob ; Dingreville, Rémi..
http://arxiv.org/abs/2303.04311.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Training scripts and input data sets: Transferable Interato..:

Kumar, Sandeep ; Tahmasbi, Hossein ; Ramakrishna, Kushal...
url:https://www.hzdr.de/publications/Publ-37282.  , 2023
Link: https://rodare.hzdr.de/r..
 
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6

Large Scale Benchmark of Materials Design Methods:

Choudhary, Kamal ; Wines, Daniel ; Li, Kangming...
http://arxiv.org/abs/2306.11688.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Transferable Interatomic Potentials for Aluminum from Ambie..:

Kumar, Sandeep ; Tahmasbi, Hossein ; Ramakrishna, Kushal...
http://arxiv.org/abs/2304.09703.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Permutation-adapted complete and independent basis for atom..:

Goff, James M ; Sievers, Charles ; Wood, Mitchell A.
http://arxiv.org/abs/2208.01756.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Training Data Selection for Accuracy and Transferability of..:

Zapiain, David Montes de Oca ; Wood, Mitchell A ; Lubbers, Nicholas...
http://arxiv.org/abs/2201.09829.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Quantum-accurate magneto-elastic predictions with classical..:

Nikolov, Svetoslav ; Wood, Mitchell A ; Canggi, Atilla...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41524-021-00617-2.  , 2022
Link: https://cea.hal.science/..
 
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11

Quantum-accurate magneto-elastic predictions with classical..:

Nikolov, Svetoslav ; Wood, Mitchell A ; Canggi, Atilla...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41524-021-00617-2.  , 2022
Link: https://cea.hal.science/..
 
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12

Machine Learning Interatomic Potential for Simulations of C..:

Willman, Jonathan T ; Nguyen-Cong, Kien ; Williams, Ashley S...
http://arxiv.org/abs/2205.01209.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Quantum-accurate magneto-elastic predictions with classical..:

Nikolov, Svetoslav ; Wood, Mitchell A ; Canggi, Atilla...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41524-021-00617-2.  , 2022
Link: https://cea.hal.science/..
 
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14

Efficacy of the radial pair potential approximation for mol..:

Stanek, Lucas J ; Clay, Raymond C ; Dharma-wardana, M. W. C...
issn:1070-664X.  , 2021
Link: https://doi.org/10.1063/..
 
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15

Quantum-accurate magneto-elastic predictions with classical..:

Nikolov, Svetoslav ; Wood, Mitchell A ; Cangi, Attila...
http://arxiv.org/abs/2101.07332.  , 2021
Link: http://arxiv.org/abs/210..
 
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