Zobrazeno 1 - 10
of 351
pro vyhledávání: '"Jaber R"'
Autor:
Mohammad S. Khorrami, Jaber R. Mianroodi, Nima H. Siboni, Pawan Goyal, Bob Svendsen, Peter Benner, Dierk Raabe
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract The purpose of this work is the development of a trained artificial neural network for surrogate modeling of the mechanical response of elasto-viscoplastic grain microstructures. To this end, a U-Net-based convolutional neural network (CNN)
Externí odkaz:
https://doaj.org/article/dd6344fcbb0b40e585ce83212f4777ba
Autor:
Khorrami, Mohammad S., Goyal, Pawan, Mianroodi, Jaber R., Svendsen, Bob, Benner, Peter, Raabe, Dierk
The purpose of the current work is the development and comparison of Fourier neural operators (FNOs) for surrogate modeling of the quasi-static mechanical response of polycrystalline materials. Three types of such FNOs are considered here: a physics-
Externí odkaz:
http://arxiv.org/abs/2408.15408
Autor:
Bauer, Stefan, Benner, Peter, Bereau, Tristan, Blum, Volker, Boley, Mario, Carbogno, Christian, Catlow, C. Richard A., Dehm, Gerhard, Eibl, Sebastian, Ernstorfer, Ralph, Fekete, Ádám, Foppa, Lucas, Fratzl, Peter, Freysoldt, Christoph, Gault, Baptiste, Ghiringhelli, Luca M., Giri, Sajal K., Gladyshev, Anton, Goyal, Pawan, Hattrick-Simpers, Jason, Kabalan, Lara, Karpov, Petr, Khorrami, Mohammad S., Koch, Christoph, Kokott, Sebastian, Kosch, Thomas, Kowalec, Igor, Kremer, Kurt, Leitherer, Andreas, Li, Yue, Liebscher, Christian H., Logsdail, Andrew J., Lu, Zhongwei, Luong, Felix, Marek, Andreas, Merz, Florian, Mianroodi, Jaber R., Neugebauer, Jörg, Pei, Zongrui, Purcell, Thomas A. R., Raabe, Dierk, Rampp, Markus, Rossi, Mariana, Rost, Jan-Michael, Saal, James, Saalmann, Ulf, Sasidhar, Kasturi Narasimha, Saxena, Alaukik, Sbailò, Luigi, Scheidgen, Markus, Schloz, Marcel, Schmidt, Daniel F., Teshuva, Simon, Trunschke, Annette, Wei, Ye, Weikum, Gerhard, Xian, R. Patrick, Yao, Yi, Yin, Junqi, Zhao, Meng, Scheffler, Matthias
Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, handled and research is performed. It signifies a transformative shift
Externí odkaz:
http://arxiv.org/abs/2402.10932
Publikováno v:
Basrah Journal of Surgery, Vol 20, Iss 1, Pp 3-11 (2014)
Reconstructive microsurgery represents one of the most significant surgical advancement in the second half of the twentieth century. To start such kind of work for the first time in a big city is a great challenge. In this study, we will try to evalu
Externí odkaz:
https://doaj.org/article/295bc076f16040eab1408217d8fb6762
Publikováno v:
Drug Design, Development and Therapy, Vol 2013, Iss default, Pp 939-944 (2013)
Hikmat Abdel-Razeq,1 Salah Abbasi,1 Iyad Saadi,1 Rana Jaber,2 Hazem Abdelelah1 1Department of Internal Medicine, 2Department of Pharmacy, King Hussein Cancer Center, Amman, Jordan Background: Anemia in patients with cancer who are undergoing active t
Externí odkaz:
https://doaj.org/article/6ab0c81a11cb4b3eb8c7596c4a7fc7b6
Deep Reinforcement Learning (DRL) is employed to develop autonomously optimized and custom-designed heat-treatment processes that are both, microstructure-sensitive and energy efficient. Different from conventional supervised machine learning, DRL do
Externí odkaz:
http://arxiv.org/abs/2209.11259
Autor:
Zhou, Xuyang, Bai, Yang, El-Zoka, Ayman A., Kim, Se-Ho, Ma, Yan, Liebscher, Christian H., Gault, Baptiste, Mianroodi, Jaber R., Dehm, Gerhard, Raabe, Dierk
When solid-state redox-driven phase transformations are associated with mass loss, vacancies are produced that develop into pores. These pores can influence the kinetics of certain redox and phase transformation steps. We investigated the structural
Externí odkaz:
http://arxiv.org/abs/2209.09069
Autor:
Khorrami, Mohammad S., Mianroodi, Jaber R., Siboni, Nima H., Goyal, Pawan, Svendsen, Bob, Benner, Peter, Raabe, Dierk
The purpose of this work is the development of an artificial neural network (ANN) for surrogate modeling of the mechanical response of viscoplastic grain microstructures. To this end, a U-Net-based convolutional neural network (CNN) is trained to acc
Externí odkaz:
http://arxiv.org/abs/2208.13490
Autor:
Peivaste, Iman, Siboni, Nima H., Alahyarizadeh, Ghasem, Ghaderi, Reza, Svendsen, Bob, Raabe, Dierk, Mianroodi, Jaber R.
Phase-field-based models have become common in material science, mechanics, physics, biology, chemistry, and engineering for the simulation of microstructure evolution. Yet, they suffer from the drawback of being computationally very costly when appl
Externí odkaz:
http://arxiv.org/abs/2205.02121
Fracture in aluminum alloys with precipitates involves at least two mechanisms, namely, ductile fracture of the aluminum-rich matrix and brittle fracture of the precipitates. In this work, a coupled crystal plasticity-phase field model for mixed duct
Externí odkaz:
http://arxiv.org/abs/2204.13994