Tri Minh Nguyen

Deakin University — Australia

Materials Science · Physical Sciences

8h-index1.4kcitations35works0.82yr avg
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Research Topics

Machine Learning in Materials Science(9), Computational Drug Discovery Methods(8), Modular Robots and Swarm Intelligence(6), Computer Graphics and Visualization Techniques(5), 3D Shape Modeling and Analysis(5)

Publications35 total

Future-oriented learning: A market-driven course recommendation system
2025
Efficient symmetry-aware materials generation <i>via</i> hierarchical generative flow networks
Digital Discovery·2025· 1 citedOpen Access
Impact of chirality on nanotube fracture strain: comprehensive machine learning potential calculations
2025Open Access
Author response for "Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks"
2025
Author response for "Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks"
2025
Author response for "Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks"
2025
Impact of chirality on nanotube fracture strain: comprehensive machine learning potential calculations
2025
Optimizing formulation and development of amlodipine-indapamide bilayer film-coated tablets with in vitro dissolution equivalence to a reference drug
Pharmacia·2025Open Access
Author response for "Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks"
2025
Author response for "Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks"
2025
Improving Disordered Crystal Modeling with Nonlinear Atomic Embedding for Superconducting Materials
2025Open Access
Author response for "The search for superionic solid-state electrolytes using a physics-informed generative model"
2025
Scale matters: simulation of nanoscopic dendrite initiation in the lithium solid electrolyte interphase using a machine learning potential
2025Open Access
Scale matters: simulation of nanoscopic dendrite initiation in lithium solid electrolyte interphases using a machine learning potential
Journal of Materials Chemistry A·2025· 8 cited
Impact of chirality on nanotube fracture strain: comprehensive machine learning potential calculations
Nanoscale·2025
Scale matters: simulation of nanoscopic dendrite initiation in the lithium solid electrolyte interphase using a machine learning potential
2024Open Access
Piper Grafts Resistant to Both Pathogenic Phytophthora capsici and Meloidogyne incognita
Indian Journal of Agricultural Research·2024Open Access
Embedding material graphs using the electron-ion potential: application to material fracture
Digital Discovery·2024· 5 citedOpen Access
Epidemiological characteristics of the ectoparasite infestation in domestic dogs in the Mekong Delta of Vietnam
Veterinary Integrative Sciences·2023· 1 citedOpen Access
Image-Based Ship Detection Using Deep Variational Information Bottleneck
Sensors·2023· 8 citedOpen Access
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Frequent Co-authors

Truyen Tran(22), Svetha Venkatesh(17), Sherif Abdulkader Tawfik(15), Sunil Gupta(14), Thin Nguyen(9), Santu Rana(8), Thomas P. Quinn(2), Thomas P. Quinn(2), Linh La(2), Hang Le(1), Thuc Duy Le(1), Vida Chitsazzadeh(1), Cristian Coarfa(1), Jennifer Drummond(1), Aaron K. Joseph(1), Suneel Chilukuri(1), Elizabeth Charpiot(1), Charles H. Adelmann(1), Grace Ching(1), Tran Nguyen(1)