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Publications by Tran Doan Huan
A Universal Strategy for the Creation of Machine Learning-Based Atomistic Force Fields
npj Computational Materials
Mechanics of Materials
Materials Science
Simulation
Computer Science Applications
Modeling
Highly Charged Interface Trap States in PbS1−x Govern Electro-Thermal Transport
APL Materials
Materials Science
Engineering
Related publications
Iterative-Learning Strategy for the Development of Application-Specific Atomistic Force Fields
Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force Fields
Ultimate Levelings With Strategy for Filtering Undesirable Residues Based on Machine Learning
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Distance Learning: The Need for a Total Force Vision and Strategy
Technologies for Developing Predictive Atomistic and Coarse-Grained Force Fields for Ionic Liquid Property Prediction
The Kolmogorov Lecture the Universal Distribution and Machine Learning
Computer Journal
Computer Science
A Universal Density Matrix Functional From Molecular Orbital-Based Machine Learning: Transferability Across Organic Molecules
Journal of Chemical Physics
Medicine
Theoretical Chemistry
Astronomy
Physics
Physical
Towards Universal Learning: Recommendations From the Learning Metrics Task Force. Summary Report
Retrieval of Non-Optically Active Parameters for Small Scale Urban Waterbodies by a Machine Learning-Based Strategy
