Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Douglas Allaire"'
Autor:
Danial Khatamsaz, Brent Vela, Prashant Singh, Duane D. Johnson, Douglas Allaire, Raymundo Arróyave
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-14 (2023)
Abstract The design of alloys for use in gas turbine engine blades is a complex task that involves balancing multiple objectives and constraints. Candidate alloys must be ductile at room temperature and retain their yield strength at high temperature
Externí odkaz:
https://doaj.org/article/ff5b42ee6459439bb904af231a8a9586
Autor:
Jaylen R. James, Meet Sanghvi, Austin R. C. Gerlt, Douglas Allaire, Raymundo Arroyave, Manny Gonzales
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
In computational materials research, uncertainty analysis (more specifically, uncertainty propagation, UP) in the outcomes of model predictions is essential in order to establish confidence in the models as well as to validate them against the ground
Externí odkaz:
https://doaj.org/article/9cd00112aeb445c6bff87b1c5ce59e64
Autor:
Danial Khatamsaz, Abhilash Molkeri, Richard Couperthwaite, Jaylen James, Raymundo Arróyave, Ankit Srivastava, Douglas Allaire
Publikováno v:
Materials & Design, Vol 209, Iss , Pp 110001- (2021)
Materials design calls for an optimal exploration and exploitation of the process-structure-property (PSP) relationships to produce materials with targeted properties. Recently, we developed and deployed a closed-loop multi-information source fusion
Externí odkaz:
https://doaj.org/article/43ae3ead8d8c48b4b07af13990586b83
Autor:
Anjana Talapatra, Shahin Boluki, Pejman Honarmandi, Alexandros Solomou, Guang Zhao, Seyede Fatemeh Ghoreishi, Abhilash Molkeri, Douglas Allaire, Ankit Srivastava, Xiaoning Qian, Edward R. Dougherty, Dimitris C. Lagoudas, Raymundo Arróyave
Publikováno v:
Frontiers in Materials, Vol 6 (2019)
Over the last decade, there has been a paradigm shift away from labor-intensive and time-consuming materials discovery methods, and materials exploration through informatics approaches is gaining traction at present. Current approaches are typically
Externí odkaz:
https://doaj.org/article/9091da854f9b43df96bdd6f862003f7b
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218370 (2019)
Technology evolution describes a change in a technology performance over time. The modeling of technology evolution is crucial for designers, entrepreneurs, and government officials to set reasonable R&D targets, invest in promising technology, and d
Externí odkaz:
https://doaj.org/article/ee99fbe7e98d467b80d950547c2bc926
Autor:
Richard Couperthwaite, Danial Khatamsaz, Jaylen James, Ankit Srivastava, Douglas Allaire, Raymundo Arroyave, Abhilash Molkeri
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:644-660
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cb87ca4f7d5ed5d76e6bf41e38fa16b
https://doi.org/10.1007/s40192-021-00235-2
https://doi.org/10.1007/s40192-021-00235-2
Publikováno v:
Volume 2: 42nd Computers and Information in Engineering Conference (CIE).
Important for many science and engineering fields, meaningful nonlinear models result from fitting such models to data by estimating the value of each parameter in the model. Since parameters in nonlinear models often characterize a substance or a sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27a0bc3b3e478301f1a2955010a5e32d
https://doi.org/10.1115/detc2022-88146
https://doi.org/10.1115/detc2022-88146
Publikováno v:
AIAA Journal. 59:1964-1974
Multiobjective optimization is often a difficult task owing to the need to balance competing objectives. A typical approach to handling this is to estimate a Pareto frontier in objective space by i...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8f90a8326830605c7ab63fc4dccb38e
https://doi.org/10.2514/1.j059803
https://doi.org/10.2514/1.j059803
Publikováno v:
Journal of Computing and Information Science in Engineering. 23
Important for many science and engineering fields, meaningful nonlinear models result from fitting such models to data by estimating the value of each parameter in the model. Since parameters in nonlinear models often characterize a substance or a sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bd374b63cb5efda96a12a16e4d60eb6
https://doi.org/10.1115/1.4054440
https://doi.org/10.1115/1.4054440
Autor:
Danial Khatamsaz, Ankit Srivastava, Abhilash Molkeri, Douglas Allaire, Richard Couperthwaite, Raymundo Arroyave
Publikováno v:
JOM. 72:4431-4443
Integrated computational materials engineering (ICME) calls for the integration of simulation tools and experiments to accelerate the development of materials. ICME approaches tend to be computationally costly, and recently, Bayesian optimization (BO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acb75aedacae116c52406f0c33012f18
https://doi.org/10.1007/s11837-020-04396-x
https://doi.org/10.1007/s11837-020-04396-x