This perspective article develops a definition of foundational MLIPs and poses six open questions that the authors believe will define future research in machine-learned interatomic potentials.
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Exploiting the isomorphism between quantum theory and classical statistical mechanics of polyatomic fluids
3 Pith papers cite this work, alongside 1,306 external citations. Polarity classification is still indexing.
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The paper reviews the use of the imaginary-time correlation function to extract temperature, normalization, and Rayleigh weight from XRTS spectra without model dependence.
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Six Open Questions in Machine-Learned Interatomic Potential Foundation Models
This perspective article develops a definition of foundational MLIPs and poses six open questions that the authors believe will define future research in machine-learned interatomic potentials.
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Model-free interpretation of X-ray Thomson scattering measurements
The paper reviews the use of the imaginary-time correlation function to extract temperature, normalization, and Rayleigh weight from XRTS spectra without model dependence.
- Economised path integrals