Published November 5, 2024
| Version v2
Dataset
Open
Development of a Machine Learning Potential to Study Structure and Thermodynamics of Nickel Nanoclusters
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1.
University of Illinois Chicago
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2.
Argonne National Laboratory
Description
Gaussian Approximation Potential (GAP) model files for Nickel (Ni) nanoclusters, along with a script for minimizing a Ni cluster using the LAMMPS package. The relevant dataset used for training, testing, and validation is also included.
Files
gap.xml
Files
(15.2 MB)
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md5:cfa9a8e83f30b1d0ba285bfd777c97cf
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5.8 MB | Download |
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md5:ccb53074e28873e37bdc587ab1b691ea
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232.6 kB | Download |
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md5:139090382f4ff4d5c4c06460502d73ef
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6.8 MB | Preview Download |
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md5:740074670c37142e638922022b848843
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512 Bytes | Download |
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md5:529311d2fcde1ba70469022a5255a229
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1.8 MB | Download |
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md5:644de019ba076e2b9358ab5ee51ae14f
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3.6 kB | Download |
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md5:478212299cd89e71525238b4a020ba51
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657.2 kB | Download |