Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Minh-Quyet Ha
Observed name:
Ha, Minh-Quyet
Institution:
Japan Advanced Institute of Science and Technology
Observed institutions:
Japan Advanced Institute of Science and Technology,
National Institute for Materials Science,
National Institute of Advanced Industrial Science and Technology
ORCID:
0000-0003-4617-0059
Observed ORCID:
0000-0003-4617-0059
OpenAlex ID:
A5033620788
Towards understanding structure–property relations in materials with interpretable deep learning
2023
·
Tien-Sinh Vu
, Minh-Quyet Ha
, et al.
·
npj Computational Materials
·
52
PDF
Evidence-based recommender system for high-entropy alloys
2021
·
Minh-Quyet Ha
, Duong-Nguyen Nguyen
, et al.
·
Nature Computational Science
·
35
PDF
Categorical data clustering: 25 years beyond K-modes
2025
·
Tai Dinh
, Hauchi Wong
, et al.
·
Expert Systems with Applications
·
34
PDF
PID3Net: a deep learning approach for single-shot coherent X-ray diffraction imaging of dynamic phenomena
2025
·
Tien-Sinh Vu
, Minh-Quyet Ha
, et al.
·
npj Computational Materials
·
15
Solvent screening for efficient chemical exfoliation of graphite
2020
·
Nhan Nu Thanh Ton
, Minh-Quyet Ha
, et al.
·
2D Materials
·
15
Explainable machine learning for materials discovery: predicting the potentially formable Nd–Fe–B crystal structures and extracting the structure–stability relationship
2020
·
Tien-Lam Pham
, Duong-Nguyen Nguyen
, et al.
·
IUCrJ
·
14
PDF
Machine learning-derived reaction statistics for 3D spectroimaging of copper sulfidation in heterogeneous rubber/brass composites
2023
·
Hirosuke Matsui
, Yuta Muramoto
, et al.
·
Communications Materials
·
12
PDF
Three-Dimensional Visualization of Adsorption Distribution in a Single Crystalline Particle of a Metal–Organic Framework
2024
·
Emina Yamada
, Hirotoshi Sakamoto
, et al.
·
Journal of the American Chemical Society
·
11
PDF
Evidence-based data mining method to reveal similarities between materials based on physical mechanisms
2023
·
Minh-Quyet Ha
, Duong-Nguyen Nguyen
, et al.
·
Journal of Applied Physics
·
4
PDF
Material dynamics analysis with deep generative model
2025
·
Duc-Anh Dao
, Minh-Quyet Ha
, et al.
·
Digital Discovery
·
3
PDF
Attention-based machine learning analysis of Pt–SWNT structure and catalysis
2026
·
Tien-Sinh Vu
, Minh-Quyet Ha
, et al.
·
Molecular Physics
·
1
Impact of corner radius of the aperture on the accuracy of phase retrieval analysis in single-frame CDI for nanomaterials
2024
·
Adam Mukharil Bachtiar
, Tien-Sinh Vu
, et al.
·
Molecular Physics
·
1
High-entropy alloys data sets of evidence-based recommender system for combinatorial materials synthesis
2021
·
Hieu-Chi Dam
, Hiori Kino
, et al.
·
Figshare
·
1
Bridging model attention to physical insights in structure-property dynamics
2026
·
Duc-Anh Dao
, Minh-Quyet Ha
, et al.
·
Science and Technology of Advanced Materials Methods
PDF
Addressing phase ambiguity in single-frame coherent X-ray diffraction imaging through ensemble phase retrieval
2026
·
Adam Mukharil Bachtiar
, Tien-Sinh Vu
, et al.
·
Molecular Physics
Crystal-structure design by agentic AI in a language of motifs
2026
·
Le, Dinh-Khiet
, Ha, Minh-Quyet
, et al.
·
arXiv (Cornell University)
PDF
Crystallography as language: transforming structural data into textual description for LLM-aided materials discovery
2026
·
Dinh-Khiet Le
, Minh-Quyet Ha
, et al.
·
Molecular Physics
Crystallography as language: transforming structural data into textual description for LLM-aided materials discovery
2026
·
Le, Dinh-Khiet
, Ha, Minh-Quyet
, et al.
·
Figshare
Author response for "Material dynamics analysis with deep generative model"
2025
·
Duc-Anh Dao
, Minh-Quyet Ha
, et al.
Spatiotemporal mapping of alloy mesostructure dynamics via multimodal coherent X-ray diffraction imaging
2025
·
Shuntaro Takazawa
, Kakeru Ninomiya
, et al.
·
Proceedings of the National Academy of Sciences
Author response for "Material dynamics analysis with deep generative model"
2025
·
Duc-Anh Dao
, Minh-Quyet Ha
, et al.
Synergistic Fusion of Multi-Source Knowledge via Evidence Theory for High-Entropy Alloy Discovery
2025
·
Ha, Minh-Quyet
, Le, Dinh-Khiet
, et al.
·
arXiv (Cornell University)
PDF
Beyond Interpolation: Integration of Data and Ai-Extracted Knowledge for High-Entropy Alloy Discovery
2025
·
Minh-Quyet Ha
, Dinh-Khiet Le
, et al.
·
SSRN Electronic Journal
Explainable Machine Learning for Materials Discovery: Predicting the Potentially Formable Nd-Fe-B Crystal Structures and Extracting Structure-Stability Relationship
2020
·
Pham, Tien-Lam
, Nguyen, Duong-Nguyen
, et al.
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
24
Citation count:
198
H-index:
8
I10-index:
8
Year
Topic
Type