| 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 | 41 | 2019 |
| 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 | 39 | 2019 |
| 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 | 36 | 2018 |
| 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 | 18 | 2021 |
| 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 | 17 | 2019 |
| 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 | 16 | 2021 |
| 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 | 13 | 2019 |
| 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 | 9 | 2023 |
| 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 | 9 | 2020 |
| 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 | 8 | 2023 |
| 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 | 7 | 2022 |
| 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 | 7 | 2018 |
| 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 | 5 | 2020 |
| 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 | 3 | 2019 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 |
Dam Hieu ChiProfessor, Japan Advanced Institute of Science and Technology在 jaist.ac.jp 的电子邮件经过验证
