Pressure-tuned exciton Rydberg series in WSe2/hBN heterostructures enable direct measurement of the dielectric constant of pressurized hBN via a model of interlayer distance changes.
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GRACE MLIPs train faster and predict alloy properties more accurately than NEP, but NEP's 60-fold speed advantage enables reliable million-atom simulations of shock propagation when paired with ensemble uncertainty quantification.
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Probing Dielectric Screening in van der Waals Heterostructures via Pressure-Tuned Exciton Rydberg Series
Pressure-tuned exciton Rydberg series in WSe2/hBN heterostructures enable direct measurement of the dielectric constant of pressurized hBN via a model of interlayer distance changes.
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Machine Learning Interatomic Potentials for Million-Atom Simulations of Multicomponent Alloys
GRACE MLIPs train faster and predict alloy properties more accurately than NEP, but NEP's 60-fold speed advantage enables reliable million-atom simulations of shock propagation when paired with ensemble uncertainty quantification.