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A

Aidan P. Thompson

united states department of energy (doe)

38H指数
232论文数
1.8W被引数
收录论文 46
发表时间
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Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulationsMaterials Learning Algorithms (MALA): 可扩展机器学习方法，用于大规模原子模拟中的电子结构计算
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2025-06-06
err0
errOAAI
errCangi, Attila; Fiedler, Lenz; Brzoza, Bartosz; Shah, Karan; Callow, Timothy J.; Kotik, Daniel; Schmerler, Steve; Barry, Matthew C.; Goff, James M.; Rohskopf, Andrew; Vogel, Dayton J.; Modine, Normand; Thompson, Aidan P.; Rajamanickam, Sivasankaran
err分享
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Breaking the mold: Overcoming the time constraints of molecular dynamics on general-purpose hardware
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2025-02-19
err0
errOAAI
errPerez, Danny; Thompson, Aidan; Moore, Stan; Oppelstrup, Tomas; Sharapov, Ilya; Santos, Kylee; Sharifian, Amirali; Kalchev, Delyan Z.; Schreiber, Robert; Pakin, Scott; Leon, Edgar A.; Laros III, James H.; James, Michael; Rajamanickam, Sivasankaran
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err收藏
Permutation-adapted complete and independent basis for atomic cluster expansion descriptors
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2024-08-01
err5
errOAAI
errGoff, J. M.; Sievers, C.; Wood, M. A.; Thompson, A. P.
err分享
err收藏
Predicting electronic structures at any length scale with machine learning
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2023-06-27
err26
errOAAI
errFiedler, Lenz; Modine, Normand A. A.; Schmerler, Steve; Vogel, Dayton J. J.; Popoola, Gabriel A. A.; Thompson, Aidan P. P.; Rajamanickam, Sivasankaran; Cangi, Attila
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Computation of the thermal elastic constants for arbitrary manybody potentials in LAMMPS using the stress-fluctuation formalism
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2023-05-01
err11
errOAAI
errClavier, Germain; Thompson, Aidan P.
err分享
err收藏
Temperature dependence of magnetic anisotropy and magnetoelasticity from classical spin-lattice calculations
errPHYSICAL REVIEW B
IF3.7
err2023-03-23
err5
PREAI
errNikolov, S.; Nieves, P.; Thompson, A. P.; Wood, M. A.; Tranchida, J.
err分享
err收藏
Machine learned interatomic potential for dispersion strengthened plasma facing components
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2023-03-15
err8
errOAAI
errSikorski, E. L.; Cusentino, M. A.; McCarthy, M. J.; Tranchida, J.; Wood, M. A.; Thompson, A. P.
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err收藏
Machine learning interatomic potential for simulations of carbon at extreme conditions
errPHYSICAL REVIEW B
IF3.7
err2022-11-30
err28
errOAAI
errWillman, Jonathan T.; Nguyen-Cong, Kien; Williams, Ashley S.; Belonoshko, Anatoly B.; Moore, Stan G.; Thompson, Aidan P.; Wood, Mitchell A.; Oleynik, Ivan I.
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Training data selection for accuracy and transferability of interatomic potentials
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2022-09-01
err26
errOAAI
errZapiain, David Montes de Oca; Wood, Mitchell A.; Lubbers, Nicholas; Pereyra, Carlos Z.; Thompson, Aidan P.; Perez, Danny
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LAMMPS-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scalesLAMMPS-一种灵活的模拟工具，用于在原子，介观和连续尺度上进行基于粒子的材料建模
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2022-02-01
err5.1K
errOAAI
errThompson, Aidan P.; Aktulga, H. Metin; Berger, Richard; Bolintineanu, Dan S.; Brown, W. Michael; Crozier, Paul S.; Veld, Pieter J. in 't; Kohlmeyer, Axel; Moore, Stan G.; Nguyen, Trung Dac; Shan, Ray; Stevens, Mark J.; Tranchida, Julien; Trott, Christian; Plimpton, Steven J.
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Data-driven magneto-elastic predictions with scalable classical spin-lattice dynamics具有可扩展经典自旋晶格动力学的数据驱动的磁弹性预测
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2021-09-28
err32
errOAAI
errNikolov, Svetoslav; Wood, Mitchell A.; Cangi, Attila; Maillet, Jean-Bernard; Marinica, Mihai-Cosmin; Thompson, Aidan P.; Desjarlais, Michael P.; Tranchida, Julien
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Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks
errPHYSICAL REVIEW B
IF3.7
err2021-07-08
err46
errOAAI
errEllis, J. A.; Fiedler, L.; Popoola, G. A.; Modine, N. A.; Stephens, J. A.; Thompson, A. P.; Cangi, A.; Rajamanickam, S.
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Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon原子簇扩展 (PACE) 的高性能实现及其在铜和硅中的应用
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2021-06-28
err126
errOAAI
errLysogorskiy, Yury; Oord, Cas van der; Bochkarev, Anton; Menon, Sarath; Rinaldi, Matteo; Hammerschmidt, Thomas; Mrovec, Matous; Thompson, Aidan; Csanyi, Gabor; Ortner, Christoph; Drautz, Ralf
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Beryllium-driven structural evolution at the divertor surface
errNUCLEAR FUSION
IF4
err2021-03-23
err6
errOAAI
errCusentino, M. A.; Wood, M. A.; Thompson, A. P.
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Suppression of helium bubble nucleation in beryllium exposed tungsten surfaces
errNUCLEAR FUSION
IF4
err2020-10-06
err12
errOAAI
errCusentino, M. A.; Wood, M. A.; Thompson, A. P.
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Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2020-08-19
err52
errOAAI
errTran, Anh; Tranchida, Julien; Wildey, Tim; Thompson, Aidan P.
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Data-driven material models for atomistic simulation
errPHYSICAL REVIEW B
IF3.7
err2019-05-30
err60
errOAAI
errWood, M. A.; Cusentino, M. A.; Wirth, B. D.; Thompson, A. P.
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err收藏
Massively parallel symplectic algorithm for coupled magnetic spin dynamics and molecular dynamics
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2018-11-01
err104
errOAAI
errTranchida, J.; Plimpton, S. J.; Thibaudeau, P.; Thompson, A. P.
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Extending the accuracy of the SNAP interatomic potential form
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2018-03-29
err175
errOAAI
errWood, Mitchell A.; Thompson, Aidan P.
err分享
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Multiscale modeling of shock wave localization in porous energetic material
errPHYSICAL REVIEW B
IF3.7
err2018-01-30
err99
errOAAI
errWood, M. A.; Kittell, D. E.; Yarrington, C. D.; Thompson, A. P.
err分享
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研究方向

暂无研究方向
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