Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Attari, Vahid"'
Autor:
Mulukutla, Mrinalini, Person, A. Nicole, Voigt, Sven, Kuettner, Lindsey, Kappes, Branden, Khatamsaz, Danial, Robinson, Robert, Salas, Daniel, Xu, Wenle, Lewis, Daniel, Eoh, Hongkyu, Xiao, Kailu, Wang, Haoren, Saini, Jaskaran Singh, Mahat, Raj, Hastings, Trevor, Skokan, Matthew, Attari, Vahid, Elverud, Michael, Paramore, James D., Butler, Brady, Vecchio, Kenneth, Kalidindi, Surya R., Allaire, Douglas, Karaman, Ibrahim, Thomas, Edwin L., Pharr, George, Srivastava, Ankit, Arróyave, Raymundo
Algorithmic materials discovery is a multi-disciplinary domain that integrates insights from specialists in alloy design, synthesis, characterization, experimental methodologies, computational modeling, and optimization. Central to this effort is a r
Externí odkaz:
http://arxiv.org/abs/2405.13132
Autor:
Munoz, Elias J., Attari, Vahid, Martinez, Marco, Dickerson, Matthew B., Radovic, Miladin, Arroyave, Raymundo
Silicon carbide (SiC) emerges as a promising ceramic material for high-temperature structural applications, especially within the aerospace sector. The utilization of SiC-based ceramic matrix composites (CMCs) instead of superalloys in components lik
Externí odkaz:
http://arxiv.org/abs/2311.05692
Uncertainty analysis in the outcomes of model predictions is a key element in decision-based material design to establish confidence in the models and evaluate the fidelity of models. Uncertainty Propagation (UP) is a technique to determine model out
Externí odkaz:
http://arxiv.org/abs/2302.04945
Publikováno v:
Integrating Materials and Manufacturing Innovation 11 (2022) 628-636
We carry out an extensive comparison between Johnson-Mehl-Avrami-Kolmogorov (JMAK) theory of first-order phase transformation kinetics and phase-field (PF) results of a benchmark problem on nucleation. To address the stochasticity of the problem, sev
Externí odkaz:
http://arxiv.org/abs/2210.16866
Publikováno v:
In Acta Materialia 1 September 2024 276
Autor:
Munoz, Elias J., Attari, Vahid, Martinez, Marco C., Dickerson, Matthew B., Radovic, Miladin, Arroyave, Raymundo
Publikováno v:
In Computational Materials Science June 2024 242
Autor:
McClenny, Levi, Haile, Mulugeta, Attari, Vahid, Sadler, Brian, Braga-Neto, Ulisses, Arroyave, Raymundo
In many real-world applications of deep learning, estimation of a target may rely on various types of input data modes, such as audio-video, image-text, etc. This task can be further complicated by a lack of sufficient data. Here we propose a Deep Mu
Externí odkaz:
http://arxiv.org/abs/2006.09310
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Acta Materialia 15 October 2023 259
Autor:
Attari, Vahid, Honarmandi, Pejman, Duong, Thien, Sauceda, Daniel J, Allaire, Douglas, Arroyave, Raymundo
ICME approaches provide decision support for materials design by establishing quantitative process-structure-property relations. Confidence in the decision support, however, must be achieved by establishing uncertainty bounds in ICME model chains. Th
Externí odkaz:
http://arxiv.org/abs/1908.00638