E-LIB Suche - Ergebnisse für: Diehl, Martin

1

Material representativeness of a polymer matrix doped with ..:

Chatziathanasiou, Thanasis ; Demir, Okan ; Soete, Jeroen...
Composites Part B: Engineering. 276 (2024) - p. 111381 , 2024

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

2

Development of an integrated computational materials engine..

Aachen, RWTH Aachen University, 2023

Roongta, Sharan , 2023

Link: https://nbn-resolving.de..

3

Crystal plasticity modeling of bainite dual-phase steels

Aachen, RWTH Aachen University, 2023

Gallardo Basile, Francisco José , 2023

Link: https://nbn-resolving.de..

4

Inverse design of dual-phase steel microstructures using ge..:

Kusampudi, Navyanth ; Diehl, Martin
International Journal of Plasticity. 171 (2023) - p. 103776 , 2023

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

5

Modeling Bainite Dual-Phase Steels: A High-Resolution Cryst..:

Gallardo-Basile, Francisco-José ; Roters, Franz ; Jentner, Robin M....
Crystals. 13 (2023) 4 - p. 673 , 2023

Link: https://doi.org/10.3390/..

6

Two-stage 2D-to-3D reconstruction of realistic microstructu..:

Seibert, Paul ; Raßloff, Alexander ; Kalina, Karl A....
Computer Methods in Applied Mechanics and Engineering. 412 (2023) - p. 116098 , 2023

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

7

No more tears without tiers? The impact of indirect settlem..:

Paulick, Jan ; Berndsen, Ron ; Diehl, Martin.
Empirica. 51 (2023) 2 - p. 425-458 , 2023

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

8

Calibration and fast evaluation algorithms for homogeneous ..:

Soare, Stefan C. ; Diehl, Martin
Computational Mechanics. , 2023

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

9

A machine learning model to predict yield surfaces from cry..:

Nascimento, Anderson ; Roongta, Sharan ; Diehl, Martin.
International Journal of Plasticity. 161 (2023) - p. 103507 , 2023

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

10

Application of a nanoindentation-based approach for paramet..:

Gallardo-Basile, Francisco-José ; Roters, Franz ; Jentner, Robin M....
Materials Science and Engineering: A. 881 (2023) - p. 145373 , 2023

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

11

Full-field simulations of dynamic and meta-dynamic recrysta..

Aachen, RWTH Aachen University, 2022

Shah, Vitesh , 2022

Link: https://nbn-resolving.de..

12

Determination and analysis of the constitutive parameters o..:

Sedighiani, Karo ; Traka, Konstantina ; Roters, Franz...
Mechanics of Materials. 164 (2022) - p. 104117 , 2022

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

13

Predicting grain boundary damage by machine learning:

Zhang, Sheng ; Wang, Leyun ; Zhu, Gaoming...
International Journal of Plasticity. 150 (2022) - p. 103186 , 2022

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

14

Crystal plasticity simulation of in-grain microstructural e..:

Sedighiani, Karo ; Traka, Konstantina ; Roters, Franz...
Acta Materialia. 237 (2022) - p. 118167 , 2022

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

15

Modeling and simulation of microstructure in metallic syste..:

Mianroodi, Jaber Rezaei ; Shanthraj, Pratheek ; Liu, Chuanlai...
npj Computational Materials. 8 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..