Výsledky vyhledávání - "Hickman, J A"

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Development of a general-purpose machine-learning interatomic potential for aluminum by the physically-informed neural network method

Autor: Pun, G. P. Purja, Yamakov, V., Hickman, J., Glaessgen, E. H., Mishin, Y.

Publikováno v: Phys. Rev. Materials 4, 113807 (2020)

Abstract Interatomic potentials constitute the key component of large-scale atomistic simulations of materials. The recently proposed physically-informed neural network (PINN) method combines a high-dimensional regression implemented by an artificial

Externí odkaz: http://arxiv.org/abs/2009.06533

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Temperature fluctuations in canonical systems: Insights from molecular dynamics simulations

Autor: Hickman, J., Mishin, Y.

Publikováno v: Phys. Rev. B 94, 184311 (2016)

Molecular dynamics simulations of a quasi-harmonic solid are conducted to elucidate the meaning of temperature fluctuations in canonical systems and validate a well-known but frequently contested equation predicting the mean square of such fluctuatio

Externí odkaz: http://arxiv.org/abs/1609.03646

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Energy spectrum of a Langevin oscillator

Autor: Mishin, Y., Hickman, J.

Publikováno v: Phys. Rev. E 94, 062151 (2016)

We derive analytical solutions for the autocorrelation and cross-correlation functions of the kinetic, potential and total energy of a Langevin oscillator. These functions are presented in both the time and frequency domains and validated by independ

Externí odkaz: http://arxiv.org/abs/1607.07467

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