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Tien Lam Pham

Showing results (1-10 of 6) with videos related to

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The Journal of Chemical Physics|October 27, 2016
Novel mixture model for the representation of potential energy surfacesTien Lam Pham, Hiori Kino, Kiyoyuki Terakura, et al.
The Journal of Chemical Physics|February 12, 2015
Data mining for materials design: a computational study of single molecule magnetHieu Chi Dam, Tien Lam Pham, Tu Bao Ho, et al.
Science and Technology of Advanced Materials|November 21, 2017
Machine learning reveals orbital interaction in materialsTien Lam Pham, Hiori Kino, Kiyoyuki Terakura, et al.
The Journal of Chemical Physics|June 6, 2018
Learning structure-property relationship in crystalline materials: A study of lanthanide-transition metal alloysTien-Lam Pham, Nguyen-Duong Nguyen, Van-Doan Nguyen, et al.
Iucrj|November 19, 2020
Explainable machine learning for materials discovery: predicting the potentially formable Nd-Fe-B crystal structures and extracting the structure-stability relationshipTien-Lam Pham, Duong-Nguyen Nguyen, Minh-Quyet Ha, et al.
Iucrj|November 17, 2018
Committee machine that votes for similarity between materialsDuong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|October 27, 2016
Novel mixture model for the representation of potential energy surfacesTien Lam Pham, Hiori Kino, Kiyoyuki Terakura, et al.
The Journal of Chemical Physics|February 12, 2015
Data mining for materials design: a computational study of single molecule magnetHieu Chi Dam, Tien Lam Pham, Tu Bao Ho, et al.
Science and Technology of Advanced Materials|November 21, 2017
Machine learning reveals orbital interaction in materialsTien Lam Pham, Hiori Kino, Kiyoyuki Terakura, et al.
The Journal of Chemical Physics|June 6, 2018
Learning structure-property relationship in crystalline materials: A study of lanthanide-transition metal alloysTien-Lam Pham, Nguyen-Duong Nguyen, Van-Doan Nguyen, et al.
Iucrj|November 19, 2020
Explainable machine learning for materials discovery: predicting the potentially formable Nd-Fe-B crystal structures and extracting the structure-stability relationshipTien-Lam Pham, Duong-Nguyen Nguyen, Minh-Quyet Ha, et al.
Iucrj|November 17, 2018
Committee machine that votes for similarity between materialsDuong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, et al.
Pageof 1