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R
Reese E. Jones
Sandia National Laboratories
45
H指数
426
论文数
7.1K
被引数
0
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91
发表时间
发表时间
IF
被引数
Multiscale topology optimization of compressible and nearly incompressible anisotropic hyperelastic structures using physics-augmented neural networks
基于物理增强型神经网络的各向异性超弹性结构可压缩与近不可压缩的多尺度拓扑优化
Computer Methods in Applied Mechanics and Engineering
IF
7.3
2026-08-10
0
PRE
AI
Asghar A. Jadoon; Aryan Tyagi; L. River Spencer; Reese E. Jones; Manuel K. Rausch; Ryan Alberdi; D. Thomas Seidl; Jan N. Fuhg
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A physics-augmented neural network framework for modeling and characterizing thermo-visco-plastic behavior
一种用于建模和表征热黏塑性行为的物理增强神经网络框架
Computer Methods in Applied Mechanics and Engineering
IF
7.3
2026-04-04
0
PRE
AI
Reese E. Jones; Asghar A. Jadoon; D. Thomas Seidl; Jan N. Fuhg
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Differentiable neural network representation of multi-well, locally-convex potentials
多井局部凸势的可微神经网络表示
Journal of Computational Physics
IF
3.8
2026-01-14
0
PRE
AI
Reese E. Jones; Adrian Buganza Tepole; Jan N. Fuhg
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A general, automated method for building structural tensors of arbitrary order for anisotropic function representations
一种用于构建各向异性函数表示的任意阶结构张量的通用自动化方法
Mathematics and Mechanics of Solids
IF
1.7
2026-01-01
1
PRE
AI
Patel, Ravi G.; Jones, Reese E.; Granzow, Brian N.; Seidl, D. Thomas; Fuhg, Jan N.
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Metal oxide candidates for thermochemical water splitting obtained with a generative diffusion model
通过生成式扩散模型获得的用于热化学水分解的金属氧化物候选物
Journal of Physics: Energy
IF
0
2025-11-04
0
OA
AI
Matthew D Witman; Reese E Jones; Andrew J E Rowberg; Stephan Lany
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Uncertainty quantification of neural network models of evolving processes via Langevin sampling
演变过程的神经网络模型的不确定性量化:基于朗之万采样的方法
Probabilistic Engineering Mechanics
IF
3.5
2025-10-10
0
PRE
AI
Cosmin Safta; Reese E. Jones; Ravi G. Patel; Raelynn Wonnacot; Dan S. Bolintineanu; Craig M. Hamel; Sharlotte L.B. Kramer
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Physics augmented machine learning discovery of composition-dependent constitutive laws for 3D printed digital materials
物理增强机器学习发现3D打印数字材料的组分依赖性本构定律
International Journal of Engineering Science
IF
5.7
2025-09-19
0
PRE
AI
Steven Yang; Michal Levin; Govinda Anantha Padmanabha; Miriam Borshevsky; Ohad Cohen; D. Thomas Seidl; Reese E. Jones; Nikolaos Bouklas; Noy Cohen
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An attention-based neural ordinary differential equation framework for modeling inelastic processes
基于注意力机制的神经常微分方程框架用于模拟非弹性过程
Computer Methods in Applied Mechanics and Engineering
IF
7.3
2025-07-07
0
PRE
AI
Reese E. Jones; Jan N. Fuhg
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A direct-adjoint approach for material point model calibration with application to plasticity
基于材料点模型校准的直接-伴随方法及其在塑性中的应用
COMPUTATIONAL MATERIALS SCIENCE
IF
3.3
2025-06-01
0
PRE
AI
Yan, Ryan; Seidl, D. Thomas; Jones, Reese E.; Papadopoulos, Panayiotis
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Inverse design of anisotropic microstructures using physics-augmented neural networks
利用物理增强神经网络进行各向异性微结构的逆向设计
Journal of the Mechanics and Physics of Solids
IF
6
2025-05-30
0
PRE
AI
Asghar A. Jadoon; Karl A. Kalina; Manuel K. Rausch; Reese Jones; Jan Niklas Fuhg
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Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models
通过物理约束神经网络模型的极端稀疏化提高Stein变分推理的性能
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2024-12-01
0
PRE
AI
Padmanabha, Govinda Anantha; Fuhg, Jan Niklas; Safta, Cosmin; Jones, Reese E.; Bouklas, Nikolaos
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Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
用于表示均质各向异性微结构力学响应的等变图卷积神经网络
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2024-12-01
0
OA
AI
Patel, Ravi; Safta, Cosmin; Jones, Reese E.
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Poromechanical cohesive interface element with combined Mode I-II cohesive zone elastoplasticity for simulating fracture in fluid-saturated porous media
COMPUTERS & STRUCTURES
IF
4.8
2024-12-01
0
PRE
AI
Jadaan, Dafer K.; Rimsza, Jessica; Jones, Reese; Regueiro, Richard A.
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Polyconvex neural network models of thermoelasticity
热弹性的多凸神经网络模型
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
IF
6
2024-11-01
4
OA
AI
Fuhg, Jan N.; Jadoon, Asghar; Weeger, Oliver; Seidl, D. Thomas; Jones, Reese E.
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Multiscale simulation of spatially correlated microstructure via a latent space representation
通过潜在空间表示对空间相关微观结构进行多尺度模拟
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
IF
3.8
2024-09-01
0
OA
AI
Jones, Reese E.; Hamel, Craig M.; Bolintineanu, Dan; Johnson, Kyle; de Macedo, Robert Buarque; Fuhg, Jan; Bouklas, Nikolaos; Kramer, Sharlotte
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Uncertainty quantification of graph convolution neural network models of evolving processes
演化过程的图卷积神经网络模型的不确定性量化
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2024-09-01
0
OA
AI
Hauth, Jeremiah; Safta, Cosmin; Huan, Xun; Patel, Ravi G.; Jones, Reese E.
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Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics
物理增强神经网络的极端稀疏化,用于力学中的可解释模型发现
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2024-06-01
8
OA
AI
Fuhg, Jan Niklas; Jones, Reese Edward; Bouklas, Nikolaos
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Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations
具有多模式拉普拉斯逼近的贝叶斯变分推理的鲁棒可扩展初始化
PROBABILISTIC ENGINEERING MECHANICS
IF
3.5
2023-10-01
0
OA
AI
Bridgman, Wyatt; Jones, Reese E.; Khalil, Mohammad
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Inelastic relaxation processes in amorphous sodium silicates
无定形硅酸钠中的非弹性弛豫过程
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
IF
3.8
2023-09-07
2
OA
AI
Rimsza, Jessica M.; Jones, Reese E.
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Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter
COMPUTATIONAL MECHANICS
IF
3.8
2023-05-12
8
PRE
AI
Villarreal, Ruben; Vlassis, Nikolaos N.; Phan, Nhon N.; Catanach, Tommie A.; Jones, Reese E.; Trask, Nathaniel A.; Kramer, Sharlotte L. B.; Sun, WaiChing
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研究方向
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合作期刊
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H 指数: 87 · 论文数: 517
M
Mark D. Allendorf
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P
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H 指数: 73 · 论文数: 576
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