Efficient machine-learning based interatomic potentialsfor exploring thermal conductivity in two-dimensional materials

MLA

Alexander V. Shapeev, et al. Efficient Machine-Learning Based Interatomic Potentialsfor Exploring Thermal Conductivity in Two-Dimensional Materials. Jan. 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=edsair&AN=edsair.doi.dedup.....47549041e45fdc6bdaf71cf4a3666612&authtype=sso&custid=ns315887.

APA

Alexander V. Shapeev, Evgeny V. Podryabinkin, Ivan S. Novikov, Bohayra Mortazavi, Timon Rabczuk, Stephan Roche, & Xiaoying Zhuang. (2020). Efficient machine-learning based interatomic potentialsfor exploring thermal conductivity in two-dimensional materials.

Chicago

Alexander V. Shapeev, Evgeny V. Podryabinkin, Ivan S. Novikov, Bohayra Mortazavi, Timon Rabczuk, Stephan Roche, and Xiaoying Zhuang. 2020. “Efficient Machine-Learning Based Interatomic Potentialsfor Exploring Thermal Conductivity in Two-Dimensional Materials,” January. 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=edsair&AN=edsair.doi.dedup.....47549041e45fdc6bdaf71cf4a3666612&authtype=sso&custid=ns315887.