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Tschopp, Mark A.
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1

A Review on Capturing Twin Nucleation in Crystal Plasticity..:

Paudel, YubRaj ; Giri, Deepesh ; Priddy, Matthew W....
Metals.  11 (2021)  9 - p. 1373 , 2021
Link: https://doi.org/10.3390/..
 
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2

Machine learning to predict aluminum segregation to magnesi..:

Messina, Joseph ; Luo, Renjie ; Xu, Ke...
Scripta Materialia.  204 (2021)  - p. 114150 , 2021
Link: https://doi.org/10.1016/..
 
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3

Enhancing Mechanical Properties of Hot Wrought Steel by Mic..:

Dyar, Cody ; Brauer, Shane ; Williams, William...
Journal of Materials Engineering and Performance.  29 (2020)  8 - p. 5374-5387 , 2020
Link: https://doi.org/10.1007/..
 
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4

Multi-objective accelerated process optimization of mechani..:

Aboutaleb, Amir M. ; Mahtabi, Mohammad J. ; Tschopp, Mark A..
Journal of Manufacturing Processes.  38 (2019)  - p. 432-444 , 2019
Link: https://doi.org/10.1016/..
 
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5

Transition of deformation mechanisms in nanotwinned single ..:

Chavoshi, Saeed Z. ; Tschopp, Mark A. ; Branicio, Paulo S.
Philosophical Magazine.  99 (2019)  21 - p. 2636-2660 , 2019
Link: https://doi.org/10.1080/..
 
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6

Unraveling Recrystallization Mechanisms Governing Texture D..:

Imandoust, Aidin ; Barrett, Christopher D. ; Al-Samman, Talal...
Metallurgical and Materials Transactions A.  49 (2018)  5 - p. 1809-1829 , 2018
Link: https://doi.org/10.1007/..
 
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7

Effect of magnetic fields on microstructure evolution:

Goins, Philip E. ; Murdoch, Heather A. ; Hernández-Rivera, Efraín.
Computational Materials Science.  150 (2018)  - p. 464-474 , 2018
Link: https://doi.org/10.1016/..
 
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8

An efficient Monte Carlo algorithm for determining the mini..:

Banadaki, Arash Dehghan ; Tschopp, Mark A. ; Patala, Srikanth
Computational Materials Science.  155 (2018)  - p. 466-475 , 2018
Link: https://doi.org/10.1016/..
 
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9

Integrating exploratory data analytics into ReaxFF paramete..:

Hernández-Rivera, Efraín ; Chowdhury, Souma ; Coleman, Shawn P...
MRS Communications.  8 (2018)  3 - p. 1300-1310 , 2018
Link: https://doi.org/10.1557/..
 
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10

Porosity prediction: Supervised-learning of thermal history..:

Khanzadeh, Mojtaba ; Chowdhury, Sudipta ; Marufuzzaman, Mohammad..
Journal of Manufacturing Systems.  47 (2018)  - p. 69-82 , 2018
Link: https://doi.org/10.1016/..
 
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11

In-situ monitoring of melt pool images for porosity predict..:

Khanzadeh, Mojtaba ; Chowdhury, Sudipta ; Tschopp, Mark A....
IISE Transactions.  51 (2018)  5 - p. 437-455 , 2018
Link: https://doi.org/10.1080/..
 
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12

Correlating deformation mechanisms with X-ray diffraction p..:

Foley, Daniel J. ; Coleman, Shawn P. ; Tschopp, Mark A..
Computational Materials Science.  154 (2018)  - p. 178-186 , 2018
Link: https://doi.org/10.1016/..
 
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13

Dual process monitoring of metal-based additive manufacturi..:

Khanzadeh, Mojtaba ; Tian, Wenmeng ; Yadollahi, Aref...
Additive Manufacturing.  23 (2018)  - p. 443-456 , 2018
Link: https://doi.org/10.1016/..
 
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14

Solid State Porous Metal Production: A Review of the Capabi..:

Atwater, Mark A. ; Guevara, Laura N. ; Darling, Kris A..
Advanced Engineering Materials.  20 (2018)  7 - p. , 2018
Link: https://doi.org/10.1002/..
 
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15

Role of nanoscale Cu/Ta interfaces on the shock compression..:

Chen, Jie ; Tschopp, Mark A. ; Dongare, Avinash M.
Journal of Materials Science.  53 (2017)  8 - p. 5745-5765 , 2017
Link: https://doi.org/10.1007/..
 
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