Multi-objective Bayesian materials discovery: Application on the discovery of precipitation strengthened NiTi shape memory alloys through micromechanical modeling
In this study, a framework for the multi-objective materials discovery based on Bayesian approaches is developed and demonstrated on the efficient discovery of precipitation-strengthened NiTi shape memory alloys with up to three desired properties. The framework is used to minimize the required comp...
Main Authors: | Alexandros Solomou, Guang Zhao, Shahin Boluki, Jobin K. Joy, Xiaoning Qian, Ibrahim Karaman, Raymundo Arróyave, Dimitris C. Lagoudas |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2018-12-01
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Series: | Materials & Design |
Online Access: | http://www.sciencedirect.com/science/article/pii/S026412751830769X |
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