Follow
Duong-Nguyen Nguyen
Title
Cited by
Cited by
Year
Oxygen-diffusion-driven oxidation behavior and tracking areas visualized by X-ray spectro-ptychography with unsupervised learning
M Hirose, N Ishiguro, K Shimomura, DN Nguyen, H Matsui, HC Dam, ...
Communications chemistry 2 (1), 50, 2019
372019
Pt–Co/C cathode catalyst degradation in a polymer electrolyte fuel cell investigated by an infographic approach combining three-dimensional spectroimaging and unsupervised learning
Y Tan, H Matsui, N Ishiguro, T Uruga, DN Nguyen, O Sekizawa, T Sakata, ...
The Journal of Physical Chemistry C 123 (31), 18844-18853, 2019
352019
Learning structure-property relationship in crystalline materials: A study of lanthanide–transition metal alloys
TL Pham, ND Nguyen, VD Nguyen, H Kino, T Miyake, HC Dam
The Journal of chemical physics 148 (20), 2018
342018
Ensemble learning reveals dissimilarity between rare-earth transition-metal binary alloys with respect to the Curie temperature
DN Nguyen, TL Pham, VC Nguyen, H Kino, T Miyake, HC Dam
Journal of Physics: Materials 2 (3), 034009, 2019
152019
Evidence-based recommender system for high-entropy alloys
MQ Ha, DN Nguyen, VC Nguyen, T Nagata, T Chikyow, H Kino, T Miyake, ...
Nature Computational Science 1 (7), 470-478, 2021
142021
Visualization of structural heterogeneities in particles of lithium nickel manganese oxide cathode materials by ptychographic X-ray absorption fine structure
H Uematsu, N Ishiguro, M Abe, S Takazawa, J Kang, E Hosono, ...
The Journal of Physical Chemistry Letters 12 (24), 5781-5788, 2021
142021
A regression-based model evaluation of the Curie temperature of transition-metal rare-earth compounds
DN Nguyen, TL Pham, VC Nguyen, AT Nguyen, H Kino, T Miyake, ...
Journal of Physics: Conference Series 1290 (1), 012009, 2019
112019
Explainable active learning in investigating structure–stability of SmFe12-α-βXαYβ structures X, Y {Mo, Zn, Co, Cu, Ti, Al, Ga}
DN Nguyen, H Kino, T Miyake, HC Dam
MRS Bulletin 48 (1), 31-44, 2023
92023
Explainable machine learning for materials discovery: predicting the potentially formable Nd–Fe–B crystal structures and extracting the structure–stability relationship
TL Pham, DN Nguyen, MQ Ha, H Kino, T Miyake, HC Dam
IUCrJ 7 (6), 1036-1047, 2020
72020
Committee machine that votes for similarity between materials
DN Nguyen, TL Pham, VC Nguyen, TD Ho, T Tran, K Takahashi, HC Dam
IUCrJ 5 (6), 830-840, 2018
72018
Variation of Local Structure and Reactivity of Pt/C Catalyst for Accelerated Degradation Test of Polymer Electrolyte Fuel Cell Visualized by Operando 3D CT‐XAFS Imaging
H Matsui, N Ishiguro, Y Tan, N Maejima, Y Muramoto, T Uruga, K Higashi, ...
ChemNanoMat 8 (4), e202200008, 2022
62022
Boron cage effects on Nd–Fe–B crystal structure’s stability
DN Nguyen, DA Dao, T Miyake, HC Dam
The Journal of Chemical Physics 153 (11), 2020
52020
Influence of rare-earth on the microstructure and mechanical properties of high manganese steel under impact load
ND Nguyen, ND Nguyen, KM Pham
Acta Metallurgica Slovaca 25 (3), 158-165, 2019
32019
Machine learning-aided Genetic algorithm in investigating the structure–property relationship of SmFe12-based structures
DN Nguyen, HC Dam
Journal of Applied Physics 133 (6), 2023
22023
Towards understanding structure–property relations in materials with interpretable deep learning
TS Vu, MQ Ha, DN Nguyen, VC Nguyen, Y Abe, T Tran, H Tran, H Kino, ...
npj Computational Materials 9 (1), 215, 2023
12023
Evidence-based data mining method to reveal similarities between materials based on physical mechanisms
MQ Ha, DN Nguyen, VC Nguyen, H Kino, Y Ando, T Miyake, T Denœux, ...
Journal of Applied Physics 133 (5), 2023
12023
Deep learning reveals key aspects to help interpret the structure-property relationships of materials
HC Dam, TS Vu, MQ Ha, DN Nguyen, VC Nguyen, Y Abe, T Tran, H Tran, ...
2023
Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature
DN Nguyen, TL Pham, VC Nguyen, H Kino, T Miyake, HC Dam
arXiv preprint arXiv:2008.08818, 2020
2020
Corrigendum: Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature (2019 J. Phys. Mater. 2 034009)
DN Nguyen, TL Pham, VC Nguyen, H Kino, T Miyake, HC Dam
Journal of Physics: Materials 3 (1), 019501, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–19