A9-1502
lam.phamtien@phenikaa-uni.edu.vn

Full CV

PHAM TIEN LAM
Associate Professor
Department Chair

Ph.D. (Computational Materials Science Japan Advanced Institute of Science and Technology, Japan, 2011)
M.Sc. (Computational Materials Science Hanoi University of Science, VNU-Hanoi, 2006)
B.Sc. (Computational materials Science Hanoi National University of Education, 2004)

RESEARCH INTERESTS

SELECTED PUBLICATIONS

  • Van-Quyen Nguyen, Viet-Cuong Nguyen, Tien-Cuong Nguyen, Nguyen-Xuan-Vu Nguyen, Tien-Lam Pham “Pairwise interactions for Potential energy surfaces and Atomic forces with Deep Neural network”, (2022), Com. Mat, 209, 111379
  • Tien-Cuong Nguyen, Van-Quyen Nguyen, Van-Linh Ngo, Quang-Khoat Than, Tien-Lam Pham, “Learning hidden chemistry with deep neural network”, (2021) Com. Mat. 200, 110784.
  • Tien-Lam Pham, Duong-Nguyen Nguyen, Minh-Quyet Ha, Hiori Kino, Takashi Miyatake, Hieu-Chi Dam, “Explainable machine learning for materials discovery: predicting the potentially formable Nd–Fe–B crystal structures and extracting the structure–stability relationship”, (2020) IUCrJ
  • Pham Tien Lam, Nguyen Van Duy, Nguyen Tien Cuong, “Machine Learning Representation for Atomic Forces and Energies”, (2020) VNU Journal of Science: Mathematics-Physics
  • Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam “Ensemble learning reveals dissimilarity between rare-earth transition binary alloys with respect to the Curie temperature”, (2019) J. Phys. Mater. 2 034009
  • Van-Doan Nguyen, Tien-Lam Pham, Hieu-Chi Dam, “Application of materials informatics on crystalline materials for two-body terms approximation”, 2019, Computational Materials Science 166, 155-161
  • Tien-Lam Pham, Tran-Thai Dang, Van-Doan Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam, “Learning Materials Properties from Orbital Interactions, (2019) Journal of Physics: Conference Series 1290 (1), 012012.
  • Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Anh-Tuan Nguyen, Hiori Kino, Takashi Miyake, Hieu-Chi Dam, “A regression-based model evaluation of the Curie temperature of transition-metal rare-earth compounds”, (2019) Journal of Physics: Conference Series 1290 (1), 012009
  • Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, DAM Hieu-Chi, “Ensemble learning reveals dissimilarity between rare-earth transition binary alloys with respect to the Curie temperature“, (2019), Phys. Mater. in press. https://doi.org/10.1088/2515-7639/ab1738
  • Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Tuan-Dung Ho, Truyen Tran, K Takahashi, Hieu-Chi Dam, “Committee machine that votes for similarity between materials“, (2018), IUCrJ 5 (6).

PROFESSIONAL CERTIFICATIONS

  • AWS Certified Instructor
  •  

    NVIDIA DLI Certified Instructor

COURSES TAUGHT