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Journal Articles

Algebraic image reconstruction for muon scattering computed tomography without tracing

Open Access
M. Wagner, S. Eisenhofer, A. Bieberle, U. Hampel
Journal: Journal of Applied Physics
J. Appl. Phys. 138, 014902 (2025)
https://doi.org/10.1063/5.0273571
Published: July 2025
View article titled, Algebraic image reconstruction for muon scattering computed tomography without tracing
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Journal Articles

A Bayesian analysis of the experimental evidence underpinning the fourth-power law in shock loading

Open Access
Beñat Gurrutxaga-Lerma
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 245903 (2025)
https://doi.org/10.1063/5.0277406
Published: June 2025
View article titled, A Bayesian analysis of the experimental evidence underpinning the fourth-power law in shock loading
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Journal Articles

Probabilistic prediction of stress–strain curves at the nanoscale: A multi-output Gaussian process approach with molecular dynamics simulations

Open Access
Ibrahim Altarabsheh, Ahmad Altarabsheh, Xiang Chen
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 224304 (2025)
https://doi.org/10.1063/5.0250014
Published: June 2025
View article titled, Probabilistic prediction of stress–strain curves at the nanoscale: A multi-output Gaussian process approach with molecular dynamics simulations
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Journal Articles

Phonon dispersion filter: A physics-inspired feature selection for machine learning potentials

Open Access
Tianyan Xu, Yixuan Xue, Harold S. Park, Jinwu Jiang
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 114301 (2025)
https://doi.org/10.1063/5.0253209
Published: March 2025
View article titled, Phonon dispersion filter: A physics-inspired feature selection for machine learning potentials
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Journal Articles

A machine learning approach to predicting the spall strength of metals and alloys

Open Access
Keara G. Frawley, Naresh N. Thadhani, Rampi Ramprasad, Harikrishna Sahu
Journal: Journal of Applied Physics
J. Appl. Phys. 137, 104905 (2025)
https://doi.org/10.1063/5.0248560
Published: March 2025
View article titled, A machine learning approach to predicting the spall strength of metals and alloys
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Journal Articles

Machine-learning-assisted optimization of Ga-free type-II superlattices for enhanced vertical hole mobility

FeaturedOpen Access
John Glennon, Enrico Bellotti
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 244302 (2024)
https://doi.org/10.1063/5.0218238
Published: December 2024
View article titled, Machine-learning-assisted optimization of Ga-free type-II superlattices for enhanced vertical hole mobility
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Journal Articles

Uncertainty quantification of material parameters in modeling coupled metal and high explosive experiments

Editor’s PickOpen Access
Matthew Nelms, William Schill, I.-F. William Kuo, Nathan Barton, Kathleen Schmidt
Journal: Journal of Applied Physics
J. Appl. Phys. 136, 195101 (2024)
https://doi.org/10.1063/5.0226642
Published: November 2024
View article titled, Uncertainty quantification of material parameters in modeling coupled metal and high explosive experiments
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Journal Articles

Unraveling the impact of initial choices and in-loop interventions on learning dynamics in autonomous scanning probe microscopy

Open Access
Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, Sergei V. Kalinin
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 154901 (2024)
https://doi.org/10.1063/5.0198316
Published: April 2024
View article titled, Unraveling the impact of initial choices and in-loop interventions on learning dynamics in autonomous scanning probe microscopy
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Journal Articles

Inverse design machine learning model for metallic glasses with good glass-forming ability and properties

FeaturedOpen Access
K. Y. Li, M. Z. Li, W. H. Wang
Journal: Journal of Applied Physics
J. Appl. Phys. 135, 025102 (2024)
https://doi.org/10.1063/5.0179854
Published: January 2024
View article titled, Inverse design machine learning model for metallic glasses with good glass-forming ability and properties
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Journal Articles

Effect of dimensionless roughness on cascade flow separation

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Di Liang, Yimin Li, Zhongning Zhou
Journal: Journal of Applied Physics
J. Appl. Phys. 134, 054701 (2023)
https://doi.org/10.1063/5.0154833
Published: August 2023
View article titled, Effect of dimensionless roughness on cascade flow separation
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Journal Articles

Inference of strength and phase transition kinetics in dynamically-compressed tin

Free
W. J. Schill, K. L. Schmidt, R. A. Austin, W. W. Anderson, J. L. Belof, J. L. Brown, N. R. Barton
Journal: Journal of Applied Physics
J. Appl. Phys. 133, 245903 (2023)
https://doi.org/10.1063/5.0150749
Published: June 2023
View article titled, Inference of strength and phase transition kinetics in dynamically-compressed tin
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Journal Articles

Bayesian optimization of metastable nickel formation during the spontaneous crystallization under extreme conditions

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Sina Malakpour Estalaki, Tengfei Luo, Khachatur V. Manukyan
Journal: Journal of Applied Physics
J. Appl. Phys. 133, 215901 (2023)
https://doi.org/10.1063/5.0150137
Published: June 2023
View article titled, Bayesian optimization of metastable nickel formation during the spontaneous crystallization under extreme conditions
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Includes: Supplementary data
Journal Articles

Characteristics and development of damage in the interface of polyimide multilayer films under a repetitive-frequency-pulsed voltage

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Menghan Yu, Lanjun Yang, Xinyan Xiao, Hongtao Zhang
Journal: Journal of Applied Physics
J. Appl. Phys. 133, 165106 (2023)
https://doi.org/10.1063/5.0140578
Published: April 2023
View article titled, Characteristics and development of damage in the interface of polyimide multilayer films under a repetitive-frequency-pulsed voltage
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Journal Articles

Machine learning for shock compression of solids using scarce data

Free
Sangeeth Balakrishnan, Francis G. VanGessel, Brian C. Barnes, Ruth M. Doherty, William H. Wilson, Zois Boukouvalas, Mark D. Fuge, Peter W. Chung
Journal: Journal of Applied Physics
J. Appl. Phys. 133, 155902 (2023)
https://doi.org/10.1063/5.0146296
Published: April 2023
View article titled, Machine learning for shock compression of solids using scarce data
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Includes: Supplementary data
Journal Articles

Spin-strain coupling in nanodiamonds as a unique cluster identifier

Open Access
Asad Awadallah, Inbar Zohar, Amit Finkler
Journal: Journal of Applied Physics
J. Appl. Phys. 133, 145103 (2023)
https://doi.org/10.1063/5.0146648
Published: April 2023
View article titled, Spin-strain coupling in nanodiamonds as a unique cluster identifier
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Includes: Supplementary data
Journal Articles

Machine learning-aided Genetic algorithm in investigating the structure–property relationship of SmFe12-based structures

Open Access
Duong-Nguyen Nguyen, Hieu-Chi Dam
Journal: Journal of Applied Physics
J. Appl. Phys. 133, 063902 (2023)
https://doi.org/10.1063/5.0134821
Published: February 2023
View article titled, Machine learning-aided Genetic algorithm in investigating the structure–property relationship of SmFe12-based structures
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Journal Articles

Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage applications

Editor’s PickAvailable to Purchase
Arpan Biswas, Anna N. Morozovska, Maxim Ziatdinov, Eugene A. Eliseev, Sergei V. Kalinin
Journal: Journal of Applied Physics
J. Appl. Phys. 130, 204102 (2021)
https://doi.org/10.1063/5.0068903
Published: November 2021
View article titled, Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage applications
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Includes: Supplementary data
Journal Articles

Simultaneous inference of the compressibility and inelastic response of tantalum under extreme loading

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W. J. Schill, R. A. Austin, K. L. Schimdt, J. L. Brown, N. R. Barton
Journal: Journal of Applied Physics
J. Appl. Phys. 130, 055901 (2021)
https://doi.org/10.1063/5.0056437
Published: August 2021
View article titled, Simultaneous inference of the compressibility and inelastic response of tantalum under extreme loading
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Journal Articles

The role of tension–compression asymmetrical microcrack evolution in the ignition of polymer-bonded explosives under low-velocity impact

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Rui Liu, Xin-Jie Wang, Peng-Wan Chen, Ge Kang, Shun-Peng Zhu, Yan-Song Guo
Journal: Journal of Applied Physics
J. Appl. Phys. 129, 175108 (2021)
https://doi.org/10.1063/5.0046011
Published: May 2021
View article titled, The role of tension–compression asymmetrical microcrack evolution in the ignition of polymer-bonded explosives under low-velocity impact
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Journal Articles

Actuation of cylindrical nematic elastomer balloons

Free
Victoria Lee, Kaushik Bhattacharya
Journal: Journal of Applied Physics
J. Appl. Phys. 129, 114701 (2021)
https://doi.org/10.1063/5.0041288
Published: March 2021
View article titled, Actuation of cylindrical nematic elastomer balloons
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