E-LIB Suche - Ergebnisse für: Mozaffar, Mojtaba

1

Artificial intelligence in metal forming:

Cao (1), Jian ; Bambach (2), Markus ; Merklein (1), Marion..
CIRP Annals. 73 (2024) 2 - p. 561-587 , 2024

Link: https://doi.org/10.1016/..

2

Efficient GPU-accelerated thermomechanical solver for resid..:

Liao, Shuheng ; Golgoon, Ashkan ; Mozaffar, Mojtaba.
Computational Mechanics. 71 (2023) 5 - p. 879-893 , 2023

Link: https://doi.org/10.1007/..

3

Differentiable simulation for material thermal response des..:

Mozaffar, Mojtaba ; Liao, Shuheng ; Jeong, Jihoon..
Additive Manufacturing. 61 (2023) - p. 103337 , 2023

Link: https://doi.org/10.1016/..

4

Mechanistic artificial intelligence (mechanistic-AI) for mo..:

Mozaffar, Mojtaba ; Liao, Shuheng ; Xie, Xiaoyu...
Journal of Materials Processing Technology. 302 (2022) - p. 117485 , 2022

Link: https://doi.org/10.1016/..

5

Toward Neural Network Models to Model Multi-phase Solids:

, In: Forming the Future; The Minerals, Metals & Materials Series,

Gorji, Maysam B. ; Heidenreich, Julian N. ; Mozaffar, Mojtaba. - p. 601-610 , 2021

Link: https://doi.org/10.1007/..

6

Geometry-agnostic data-driven thermal modeling of additive ..:

Mozaffar, Mojtaba ; Liao, Shuheng ; Lin, Hui..
Additive Manufacturing. 48 (2021) - p. 102449 , 2021

Link: https://doi.org/10.1016/..

7

On the potential of recurrent neural networks for modeling ..:

Gorji, Maysam B. ; Mozaffar, Mojtaba ; Heidenreich, Julian N...
Journal of the Mechanics and Physics of Solids. 143 (2020) - p. 103972 , 2020

Link: https://doi.org/10.1016/..

8

A Real-Time Iterative Machine Learning Approach for Tempera..:

, In: 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA),

Paul, Arindam ; Mozaffar, Mojtaba ; Yang, Zijiang... - p. 541-550 , 2019

Link: https://doi.org/10.1109/..

9

Improving the accuracy of double-sided incremental forming ..:

Leem, Dohyun ; Moser, Newell ; Ren, Huaqing...
Procedia Manufacturing. 29 (2019) - p. 88-95 , 2019

Link: https://doi.org/10.1016/..

10

Acceleration strategies for explicit finite element analysi..:

Mozaffar, Mojtaba ; Ndip-Agbor, Ebot ; Lin, Stephen...
Computational Mechanics. 64 (2019) 3 - p. 879-894 , 2019

Link: https://doi.org/10.1007/..

11

Data-driven prediction of the high-dimensional thermal hist..:

Mozaffar, Mojtaba ; Paul, Arindam ; Al-Bahrani, Reda...
Manufacturing Letters. 18 (2018) - p. 35-39 , 2018

Link: https://doi.org/10.1016/..

12

Data-driven multi-scale multi-physics models to derive proc..:

Yan, Wentao ; Lin, Stephen ; Kafka, Orion L....
Computational Mechanics. 61 (2018) 5 - p. 521-541 , 2018

Link: https://doi.org/10.1007/..

13

Additive manufacturing process design with differentiable s..:

Mozaffar, Mojtaba ; Cao, Jian
http://arxiv.org/abs/2107.10919. , 2021

Link: http://arxiv.org/abs/210..

14

Toolpath design for additive manufacturing using deep reinf..:

Mozaffar, Mojtaba ; Ebrahimi, Ablodghani ; Cao, Jian
http://arxiv.org/abs/2009.14365. , 2020

Link: http://arxiv.org/abs/200..

15

A real-time iterative machine learning approach for tempera..:

Paul, Arindam ; Mozaffar, Mojtaba ; Yang, Zijiang...
http://arxiv.org/abs/1907.12953. , 2019

Link: http://arxiv.org/abs/190..