Published May 13, 2026 | Version v1
Dataset Open

High-Pressure Inelastic Neutron Spectroscopy: A true test of Machine-Learned Interatomic Potential energy landscapes

  • 1. Science and Technology Facilities Council Daresbury Laboratory
  • 2. Science and Technology Facilities Council, Rutherford Appleton Laboratory

Description

Compagnion data for Paper 

High-Pressure Inelastic Neutron Spectroscopy: A true test of Machine-Learned Interatomic Potential energy landscapes
Jeff Armstrong, Adam Jackson, Alin Elena,  arXiv:2603.05442 

 

Contains models, data used to produce the models and input files for MACE containting all hyperparameters. 

Files

ft_6.zip

Files (649.9 MB)

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md5:f235272d7a3bc31993e9185e14902aa6
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md5:4211af36e9a34648f7ec560eb59e53e3
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md5:6b41cda731b83f0f4bcce31d74d4bc44
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md5:b5e4547e351c6631f0bd7bb323c6c718
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md5:97211107c6c186bcd39b7327c1e0721f
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md5:9a5e270996ef41aab2a640b63c92c68f
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Additional details

Dates

Available
2026-05-13
uploaded

Domain Specific Metadata

 
Property Value
Property Types energy, forces, stress
Calculation Level dft pbe+d3, dft r2scan+d4
Number of elements 4
Number Of Configurations 2000
Number Of Atoms 144