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Justin Mach
Justin Mach
Verified email at ornl.gov
Title
Cited by
Cited by
Year
Continuity in the plastic strain rate and its influence on texture evolution
JC Mach, AJ Beaudoin, A Acharya
Journal of the Mechanics and Physics of Solids 58 (2), 105-128, 2010
402010
Validation of a crystal plasticity model using high energy diffraction microscopy
AJ Beaudoin, M Obstalecki, R Storer, W Tayon, J Mach, P Kenesei, ...
Modelling and simulation in materials science and engineering 20 (2), 024006, 2012
252012
Welding residual stress impact on fatigue life of a welded structure
L Pan, BP Athreya, JA Forck, W Huang, L Zhang, T Hong, W Li, W Ulrich, ...
Welding in the World 57 (5), 685-691, 2013
212013
Validating a model for welding induced residual stress using high-energy X-ray diffraction
JC Mach, CJ Budrow, DC Pagan, JPC Ruff, JS Park, J Okasinski, ...
Jom 69, 893-899, 2017
152017
Modeling Needs for High Power Target
C Barbier, S Bidhar, M Calviani, J Dooling, J Gao, A Jacques, W Lu, ...
arXiv preprint arXiv:2203.04714, 2022
122022
Incorporating bubble growth volume feedback to improve simulation of the response of a structure containing liquid and gas to sudden energy input
D Winder, L Lin, J Mach
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021
122021
Fatigue analysis of the Spallation Neutron Source 2 MW target design
J Mach, K Johns, S Gorti, H Jiang
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021
102021
Model calibration of the liquid mercury spallation target using evolutionary neural networks and sparse polynomial expansions
MI Radaideh, H Tran, L Lin, H Jiang, D Winder, S Gorti, G Zhang, J Mach, ...
Nuclear Instruments and Methods in Physics Research Section B: Beam …, 2022
92022
Design and structural assessment of the Spallation Neutron Source 2.0 MW target
K Johns, J Mach, S Gorti, H Jiang
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021
62021
FD&E Total life T-sample residual stress analytical predictions and measured results
J Mach, C Gales, JS Park, J Okasinski, C Budrow, A Beaudoin, K Swartz, ...
SAE Technical Paper, 2019
62019
Application of machine learning to predict the response of the liquid mercury target at the spallation neutron source
L Lin, S Gorti, J Mach, H Tran, DE Winder
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2021
42021
Robust virtual welding process optimization
VK Yalamanchili, DA Galindo, JC Mach
Procedia Computer Science 140, 342-350, 2018
42018
Numerical Simulation of Dynamic Strain Ageing and Fracture in Aluminum
JC Mach
University of Illinois at Urbana-Champaign, 2004
22004
Second Target Station Project: LANSCE WNR Target 2 (Blue Room) Experiment 2022
J Mach, J Tipton Jr, W Blokland, K Gawne, K Ghoos, K Isbell, A Jacques, ...
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023
12023
Method and system for determing welding process parameters
VK Yalamanchili, JC Mach, J Norato, BP Athreya
US Patent 10,325,036, 2019
12019
Continuity in Rigid Viscoplastic Flow
JC Mach
12009
Heterogeneity in plastic deformation
JC Mach, JD Kang, AJ Beaudoin, DS Wilkinson
Materials science forum 519, 85-92, 2006
12006
arXiv: Modeling Needs for High Power Target
C Barbier, J Dooling, W Lu, D Winder, J Mach, D Senor, J Gao, S Bidhar, ...
2022
Modeling Needs for High Power Target
DE Winder, J Mach, J Tipton Jr, W Lu, A Jacques, C Barbier
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2022
2022
Fixture member for detecting a load acting thereon
B Appalla, JC Mach, GK Mathai, NL Lee
US Patent App. 14/857,897, 2017
2017
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Articles 1–20