activity
19982026
most citedEfficient implementation of the nonequilibrium Green function method for electronic transport calculations

194 citations · 1.3k across the 32 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

14 papers · 1 filter

cond-mat.mtrl-sci2026

Crystal-structure design by agentic AI in a language of motifs

Dinh-Khiet Le, Minh-Quyet Ha, Hong-Phuc Vu-Dinh +3

Data-driven materials discovery interpolates more reliably than it extrapolates and seldom reaches new structure types. We present MatEvolve, an agentic-AI framework designing crys…

cond-mat.mtrl-sci2020

Explainable Machine Learning for Materials Discovery: Predicting the Potentially Formable Nd-Fe-B Crystal Structures and Extracting Structure-Stability Relationship

Tien-Lam Pham, Duong-Nguyen Nguyen, Minh-Quyet Ha +3

New Nd-Fe-B crystal structures can be formed via the elemental substitution of LATX host structures, including lanthanides LA, transition metals T, and light elements X as B, C, N,…

cond-mat.mtrl-sci2018★ 34 cited

Important descriptors and descriptor groups of Curie temperatures of rare-earth transition-metal binary alloys

Hieu Chi Dam, Viet Cuong Nguyen, Tien Lam Pham +4

We analyze Curie temperatures of rare-earth transition metal binary alloys with machine learning method. In order to select important descriptors and descriptor groups, we introduc…

cond-mat.mtrl-sci2018★ 65 cited

Effect of -site substitution and the pressure on stability of Fe: A first-principles study

Yosuke Harashima, Taro Fukazawa, Hiori Kino +1

We theoretically study the structural stability of Fe with the ThMn structure (: rare-earth elements, La, Pr, Nd, Sm, Gd, Dy, Ho, Er, Tm, Lu, Y, or Sc, or group…

cond-mat.mtrl-sci2017

Machine learning reveals orbital interaction in crystalline materials

Tien Lam Pham, Hiori Kino, Kiyoyuki Terakura +4

We propose a novel representation of crystalline materials named orbital-field matrix (OFM) based on the distribution of valence shell electrons. We demonstrate that this new repre…

cond-mat.mtrl-sci2017★ 4 cited

A regression-based feature selection study of the Curie temperature of transition-metal rare-earth compounds: prediction and understanding

Hieu Chi Dam, Viet Cuong Nguyen, Tien Lam Pham +4

The Curie temperature () of binary alloy compounds consisting of 3 transition-metal and 4 rare-earth elements is analyzed by a machine learning technique. We first demon…