2026
- From Data to Discovery: Challenges and Solutions in AI-Driven Materials Science
Hieu-Chi Dam, Hiori Kino, Takashi Miyake,
Journal of the Physical Society of Japan, 95, 4, 042001 (2026). - A tensor-based approach to Dempster-Shafer computing for evidence combination
Toan Nguyen-Mau, Hieu-Chi Dam, Van-Nam Huynh,
Neurocomputing, 669, 132388 (2026). - Attention-based machine learning analysis of Pt–SWNT structure and catalysis
Tien-Sinh Vu, Minh-Quyet Ha, *Hieu-Chi Dam,
Molecular Physics, e2614016 (2026). - Crystallography as language: transforming structural data into textual description for LLM-aided materials discovery
Dinh-Khiet Le, *Minh-Quyet Ha, Tien-Dat Nguyen, Viet-Ha Nguyen, *Hieu-Chi Dam,
Molecular Physics, e2610374 (2026). - Beyond interpolation: integration of data and AI-extracted knowledge for high-entropy alloy discovery
Minh-Quyet Ha, Dinh-Khiet Le, Viet-Cuong Nguyen, Hiori Kino, Stefano Curtarolo, *Hieu-Chi Dam,
Digital Discovery (2026). JAIST - HPC Systems Press Release.
2025
- Materials Dynamics Analysis with Deep Generative Model
Duc-Anh Dao, Minh-Quyet Ha, Tien-Sinh Vu, Shuntaro Takazawa, Nozomu Ishiguro, Yukio Takahashi, Suzuki Masato, Takashi Kakubo, Naoya Amino, Hirosuke Matsui, Mizuki Tada, *Hieu-Chi Dam,
Digital Discovery, 4, 3363-3377 (2025). - Spatiotemporal mapping of alloy mesostructure dynamics via multimodal coherent X-ray diffraction imaging
Shuntaro Takazawa, Kakeru Ninomiya, Minh-Quyet Ha, Tien-Sinh Vu, Yuhei Sasaki, Masaki Abe, Hideshi Uematsu, Naru Okawa, Nozomu Ishiguro, Kyosuke Ozaki, Takaki Hatsui, Taiki Hoshino, Maiko Nishibori, Hieu-Chi Dam, Yukio Takahashi,
PNAS, 122, 38, e2513369122, 1-8 (2025). JAIST - Tohoku University - RIKEN Press Release. - Protocol for development of a checklist and guideline for transparent reporting of cluster analyses (TRoCA)
*Daniil Lisik, Syed Ahmar Shah, Rani Basna, Tai Dinh, Ryan P Browne, Jeffrey L Andrews, Meredith Wallace, Absalom Ezugwu, Ana Marusic, Dat Tran, Joaquín Torres-Sospedra, Hieu-Chi Dam, Philippe Fournier-Viger, Christian Hennig, Marieke Timmerman, Matthijs J Warrens, Eva Ceulemans, Bright I Nwaru, Tina M Hernandez-Boussard,
BMJ Open, 15, e099609 (2025). - A Data-Science Approach to Experimental Catalyst Discovery: Integrating Exploration, Exploitation, and Serendipity
Sunao Nakanowatari, Keisuke Takahashi, *Hieu-Chi Dam, *Toshiaki Taniike,
ACS Catalysis, 15, 11, 8691-8705 (2025). - Categorical data clustering: 25 years beyond K-modes
Tai Dinh, Hauchi Wong, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh,
Expert Systems with Applications, 272, 126608, 1-49 (2025). - PID3Net: a deep learning approach for single-shot coherent X-ray diffraction imaging of dynamic phenomena
Tien-Sinh Vu, Minh-Quyet Ha, Adam Mukharil Bachtiar, Duc-Anh Dao, Truyen Tran, Hiori Kino, Shuntaro Takazawa, Nozomu Ishiguro, Yuhei Sasaki, Masaki Abe, Hideshi Uematsu, Naru Okawa, Kyosuke Ozaki, Kazuo Kobayashi, Yoshiaki Honjo, Haruki Nishino, Yasumasa Joti, Takaki Hatsui, Yukio Takahashi, *Hieu-Chi Dam,
npj Computational Materials, 11, 66 (2025). JAIST - Tohoku University Press Release. - Spatiotemporal Association Between Monthly PM2.5 Levels and Cardiorespiratory Mortality in Thailand (2015-2019)
Suhaimee Buya, Hideomi Gokon, Van-Nam Huynh, Hieu-Chi Dam, Sasiporn Usanavasin, Jessada Karnjana, Nutta Taneepanichskul,
International Journal of Environmental Health Research, 1-12 (2025).
2024
- Superconductor Discovery in the Emerging Paradigm of Materials Informatics
Huan Tran, Hieu-Chi Dam, Christopher Kuenneth, Vu Ngoc Tuoc, Hiori Kino,
Chemistry of Materials, 36, 22, 10939-10966 (2024). - Impact of Corner Radius of the Aperture on the Accuracy of Phase Retrieval Analysis in Single-Frame CDI for Nanomaterials
Adam Mukharil Bachtiar, Tien-Sinh Vu, Minh-Quyet Ha, Shuntaro Takazawa, Yukio Takahashi, *Hieu-Chi Dam,
Molecular Physics, e2388303 (2024). - Estimating Ground-level Hourly PM2.5 Concentrations in Thailand using Satellite Data: A Log-linear Model with Sum Contrast Analysis
Suhaimee Buya, Hideomi Gokon, Hieu-Chi Dam, Sasiporn Usanavasin, Jessada Karnjana,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 9478-9491 (2024). - Three-Dimensional Visualization of Adsorption Distribution in a Single Crystalline Particle of a Metal-Organic Framework
Emina Yamada, Hirotoshi Sakamoto, Hirosuke Matsui, Tomoya Uruga, Kunihisa Sugimoto, Minh-Quyet Ha, Hieu-Chi Dam, Ryotaro Matsuda, *Mizuki Tada,
Journal of the American Chemical Society, 146, 13, 9181-9190 (2024).
2023
- Towards Understanding Structure–Property Relations in Materials with Interpretable Deep Learning
Tien-Sinh Vu, Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Yukihiro Abe, Truyen Tran, Huan Tran, Hiori Kino, Takashi Miyake, Koji Tsuda, *Hieu-Chi Dam,
npj Computational Materials, 9, 1, 215 (2023). JAIST - HPC Systems Press Release. - Machine Learning-Derived Reaction Statistics for 3D Spectroimaging of Copper Sulfidation in Heterogeneous Rubber/Brass Composites
Hirosuke Matsui, Yuta Muramoto, Ryusei Niwa, Takashi Kakubo, Naoya Amino, Tomoya Uruga, Minh-Quyet Ha, Duy-Tai Dinh, *Hieu-Chi Dam, *Mizuki Tada,
Communications Materials, 4, 1, 88 (2023). JAIST - Nagoya University - RIKEN - YOKOHAMA - JASRI - JST Press Release. - Coupling X-ray Photon Correlation Spectroscopy and Dynamic Coherent X-ray Diffraction Imaging: Particle Motion Analysis from Nano-to-Micrometer Scale
Shuntaro Takazawa, Duc-Anh Dao, Masaki Abe, Hideshi Uematsu, Nozomu Ishiguro, Taiki Hoshino, *Hieu-Chi Dam, *Yukio Takahashi,
Physical Review Research, 5, 4, L042019 (2023). JAIST - Tohoku University - RIKEN Press Release. - Machine Learning-Aided Genetic Algorithm in Investigating the Structure–Property Relationship of SmFe12-Based Structures
Duong-Nguyen Nguyen, *Hieu-Chi Dam,
Journal of Applied Physics, 133, 6 (2023). - Evidence-Based Data Mining Method to Reveal Similarities Between Materials Based on Physical Mechanisms
Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Hiori Kino, Yasunobu Ando, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, *Hieu-Chi Dam,
Journal of Applied Physics, 133, 5 (2023). - Explainable Active Learning in Investigating Structure–Stability of SmFe12-α-βXαYβ Structures X, Y {Mo, Zn, Co, Cu, Ti, Al, Ga}
Duong-Nguyen Nguyen, Hiori Kino, Takashi Miyake, *Hieu-Chi Dam,
MRS Bulletin, 48, 1, 31-44 (2023).
2022
- 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
Hirosuke Matsui, Nozomu Ishiguro, Yuanyuan Tan, Naoyuki Maejima, Yuta Muramoto, Tomoya Uruga, Kotaro Higashi, Duong-Nguyen Nguyen, Hieu-Chi Dam, Gabor Samjeské, *Mizuki Tada,
ChemNanoMat, 8, 4, e202200008 (2022).
2021
- Evidence-Based Recommender System for High-Entropy Alloys
Minh-Quyet Ha, Duong-Nguyen Nguyen, Viet-Cuong Nguyen, Takahiro Nagata, Toyohiro Chikyow, Hiori Kino, Takashi Miyake, Thierry Denœux, Van-Nam Huynh, *Hieu-Chi Dam,
Nature Computational Science, 1, 7, 470-478 (2021). JAIST - NIMS - AIST - HPC Systems Press Release. - Visualization of Structural Heterogeneities in Particles of Lithium Nickel Manganese Oxide Cathode Materials by Ptychographic X-ray Absorption Fine Structure
Hideshi Uematsu, Nozomu Ishiguro, Masaki Abe, Shuntaro Takazawa, Jungmin Kang, Eiji Hosono, Nguyen Duong Nguyen, Hieu Chi Dam, Masashi Okubo, Yukio Takahashi,
The Journal of Physical Chemistry Letters, 12, 24, 5781-5788 (2021). - Variational Hyper-Encoding Networks
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh,
Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, Proceedings, Part II, 21, 100-115 (2021). - Characterization of Descriptors in Machine Learning for Data-Based Sputtering Yield Prediction
Hiori Kino, Kazumasa Ikuse, Hieu-Chi Dam, Satoshi Hamaguchi,
Physics of Plasmas, 28, 1 (2021).
2020
- Solvent Screening for Efficient Chemical Exfoliation of Graphite
Nhan Nu Thanh Ton, Minh-Quyet Ha, Takuma Ikenaga, Ashutosh Thakur, *Hieu-Chi Dam, *Toshiaki Taniike,
2D Materials, 8, 1, 015019 (2020). - Explainable Machine Learning for Materials Discovery: Predicting the Potentially Formable Nd–Fe–B Crystal Structures and Extracting the Structure–Stability Relationship
Tien-Lam Pham, Duong-Nguyen Nguyen, Minh-Quyet Ha, Hiori Kino, Takashi Miyake, *Hieu-Chi Dam,
IUCrJ, 7, 6, 1036-1047 (2020). - Boron Cage Effects on Nd–Fe–B Crystal Structure's Stability
Duong-Nguyen Nguyen, Duc-Anh Dao, Takashi Miyake, *Hieu-Chi Dam,
The Journal of Chemical Physics, 153, 11 (2020). - Maximum Separated Distribution with High Interpretability Found Using an Exhaustive Search Method—Application to Magnetocrystalline Anisotropy of Fe/Co Films—
Hiori Kino, Kohji Nakamura, Koji Hukushima, Takashi Miyake, Hieu-Chi Dam,
Journal of the Physical Society of Japan, 89, 6, 064802 (2020).
2019
- Learning Materials Properties from Orbital Interactions
Tien-Lam Pham, Tran-Thai Dang, Van-Doan Nguyen, Hiori Kino, Takashi Miyake, *Hieu-Chi Dam,
Journal of Physics: Conference Series, 1290, 1, 012012 (2019). - Application of Materials Informatics on Crystalline Materials for Two-Body Terms Approximation
Van-Doan Nguyen, Tien-Lam Pham, *Hieu-Chi Dam,
Computational Materials Science, 166, 155-161 (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
Yuanyuan Tan, Hirosuke Matsui, Nozomu Ishiguro, Tomoya Uruga, Duong-Nguyen Nguyen, Oki Sekizawa, Tomohiro Sakata, Naoyuki Maejima, Kotaro Higashi, *Hieu Chi Dam, *Mizuki Tada,
The Journal of Physical Chemistry C, 123, 31, 18844-18853 (2019). - Ensemble Learning Reveals Dissimilarity Between Rare-Earth Transition-Metal Binary Alloys with Respect to the Curie Temperature
Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Hiori Kino, Takashi Miyake, *Hieu-Chi Dam,
Journal of Physics: Materials, 2, 3, 034009 (2019). - Oxygen-Diffusion-Driven Oxidation Behavior and Tracking Areas Visualized by X-ray Spectro-Ptychography with Unsupervised Learning
Makoto Hirose, Nozomu Ishiguro, Kei Shimomura, Duong-Nguyen Nguyen, Hirosuke Matsui, *Hieu Chi Dam, *Mizuki Tada, *Yukio Takahashi,
Communications Chemistry, 2, 1, 50 (2019).
2018
- Important Descriptors and Descriptor Groups of Curie Temperatures of Rare-Earth Transition-Metal Binary Alloys
*Hieu Chi Dam, Viet Cuong Nguyen, Tien Lam Pham, Anh Tuan Nguyen, Kiyoyuki Terakura, Takashi Miyake, Hiori Kino,
Journal of the Physical Society of Japan, 87, 11, 113801 (2018). - Committee Machine That Votes for Similarity Between Materials
Duong Nguyen Nguyen, Tien Lam Pham, Viet Cuong Nguyen, Tuan Dung Ho, Truyen Tran, Keisuke Takahashi, *Hieu-Chi Dam,
IUCrJ, 5, 6, 830-840 (2018). - Thermoelectric Properties and Carrier Localization in Ultrathin Layer of Nb‐Doped MoS2
Pham Xuan Thi, Masanobu Miyata, Huynh Van Ngoc, Pham Tien Lam, Nguyen Thanh Tung, Manoharan Muruganathan, Phan Trong Tue, Masashi Akabori, *Hieu Chi Dam, Hiroshi Mizuta, Yuzuru Takamura, Mikio Koyano,
physica status solidi (b), 255, 9, 1800125 (2018). - Learning Structure-Property Relationship in Crystalline Materials: A Study of Lanthanide–Transition Metal Alloys
Tien-Lam Pham, Nguyen-Duong Nguyen, Van-Doan Nguyen, Hiori Kino, Takashi Miyake, *Hieu-Chi Dam,
The Journal of Chemical Physics, 148, 20 (2018).
2017
- Building Classification Trees on Japanese Stock Groups Partitioned by Network Clustering
Takashi Isogai, Hieu-Chi Dam,
IEEJ Transactions on Electronics, Information and Systems, 137, 10, 1387-1392 (2017). - Machine learning reveals orbital interaction in materials
Tien-Lam Pham, Hiori Kino, Kiyoyuki Terakura, Takashi Miyake, Ichigaku Takigawa, Koji Tsuda, Hieu-Chi Dam,
Science and Technology of Advanced Materials, 18, 1, 756-765 (2017).
~ 2016
- Novel Mixture Model for the Representation of Potential Energy Surfaces
Tien Lam Pham, Hiori Kino, Kiyoyuki Terakura, Takashi Miyake, *Hieu Chi Dam,
The Journal of Chemical Physics, 145, 15 (2016). - Ligand-Driven Exchange Coupling in Graphene-Based Magnetic Materials
Nguyen Van Thanh, Nguyen Anh Tuan, Phạm Thi Tuan Anh, Nguyen Viet Cuong, Hieu Chi Dam,
Materials Transactions, 57, 10, 1680-1684 (2016). - Learning How to Learn Through Experiential Learning Promoting Metacognitive Skills to Improve Knowledge Co-Creation Ability
Koji Tanaka, Hieu Chi Dam, Shigeto Kobayashi, Takashi Hashimoto, Mitsuru Ikeda,
Procedia Computer Science, 99, 146-156 (2016). - Correlation Between Charge Transfer and Exchange Coupling in Carbon-Based Magnetic Materials
Anh Tuan Nguyen, Van Thanh Nguyen, Thi Tuan Anh Pham, Viet Thang Do, Huy Sinh Nguyen, Hieu Chi Dam,
AIP Advances, 5, 10 (2015). - The Knowledge‐Bridging Process in Software Offshoring from Japan to Vietnam
Thu Huong Nguyen, Katsuhiro Umemoto, Hieu Chi Dam,
The Electronic Journal of Information Systems in Developing Countries, 64, 1, 1-29 (2014). - The Role of Coordinators in Software Off-Shoring
Nguyen Thu Huong, Hieu Chi Dam, Umemoto Katsuhiro, Dang Thi Viet Duc,
International Journal of Knowledge and Systems Science, 5, 1-18 (2014). - Data Mining for Materials Design: A Computational Study of Single Molecule Magnet
Hieu Chi Dam, Tien Lam Pham, Tu Bao Ho, Anh Tuan Nguyen, Viet Cuong Nguyen,
The Journal of Chemical Physics, 140, 4, 044101 (2014). - Knowledge Transfer in Offshore Outsourcing: A Case Study of Japanese and Vietnamese Software Companies
Nguyen Thu Huong, Umemoto Katsuhiro, Hieu Chi Dam,
Global Diffusion and Adoption of Technologies for Knowledge and Information Sharing, 110-128 (2013).