Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Danial Khatamsaz"'
Autor:
Sina Hossein Zadeh, Cem Cakirhan, Danial Khatamsaz, John Broucek, Timothy D. Brown, Xiaoning Qian, Ibrahim Karaman, Raymundo Arroyave
Publikováno v:
Materials & Design, Vol 244, Iss , Pp 113096- (2024)
The martensitic transformation in NiTi-based Shape Memory Alloys (SMAs) provides a basis for shape memory effect and superelasticity, thereby enabling applications requiring solid-state actuation and large recoverable shape changes upon mechanical lo
Externí odkaz:
https://doaj.org/article/9d92a7897e6b43dd944b73d185c44198
Autor:
Danial Khatamsaz, Raymond Neuberger, Arunabha M. Roy, Sina Hossein Zadeh, Richard Otis, Raymundo Arróyave
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract The design of materials and identification of optimal processing parameters constitute a complex and challenging task, necessitating efficient utilization of available data. Bayesian Optimization (BO) has gained popularity in materials desig
Externí odkaz:
https://doaj.org/article/0f966beba3994fde8da376297a766b40
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:
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:
Danial Khatamsaz, Douglas L. Allaire
Publikováno v:
AIAA SCITECH 2023 Forum.
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
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...
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
Autor:
Danial Khatamsaz, Douglas L. Allaire
Publikováno v:
AIAA SCITECH 2022 Forum.
Autor:
Ankit Srivastava, Jaylen James, Douglas Allaire, Abhilash Molkeri, Richard Couperthwaite, Raymundo Arroyave, Danial Khatamsaz
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