Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys

MLA

Tran, Anh, et al. Multi-Fidelity Machine-Learning with Uncertainty Quantification and Bayesian Optimization for Materials Design: Application to Ternary Random Alloys. 2020. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2006.00139&authtype=sso&custid=ns315887.

APA

Tran, A., Tranchida, J., Wildey, T., & Thompson, A. P. (2020). Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys.

Chicago

Tran, Anh, Julien Tranchida, Tim Wildey, and Aidan P. Thompson. 2020. “Multi-Fidelity Machine-Learning with Uncertainty Quantification and Bayesian Optimization for Materials Design: Application to Ternary Random Alloys.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2006.00139&authtype=sso&custid=ns315887.