H
Huan Tran
Researcher at Georgia Institute of Technology
Publications - 18
Citations - 449
Huan Tran is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Chemistry & Polymer. The author has an hindex of 5, co-authored 10 publications receiving 211 citations.
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Journal Article
Rational Co-Design of Polymer Dielectrics for Energy Storage
TL;DR: It is illustrated here how one may harness a rational co-design approach-involving synergies between high-throughput computational screening and experimental synthesis and testing-with the example of polymer dielectrics design for electrostatic energy storage applications.
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Polymer design using genetic algorithm and machine learning
TL;DR: In this paper, the authors employ a nature-mimicking optimization method, the genetic algorithm, in tandem with ML-based predictive models to design polymers that meet practically useful, but extreme, property criteria (i.e., glass transition temperature, T g > 500 K and bandgap, E g > 6 ǫ eV).
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Machine learning models for the lattice thermal conductivity prediction of inorganic materials
TL;DR: In this article, a machine learning-based model was proposed to predict the lattice thermal conductivity of inorganic materials, using a benchmark data set of experimentally measured κ L of about 100 inorganic material.
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Polymer Informatics with Multi-Task Learning
TL;DR: Chemical rules, that explain how certain features control trends in property values, emerge from the present work, paving the way for the rational design of application specific polymers meeting desired property or performance objectives.
Posted Content
Machine Learning Models for the Lattice Thermal Conductivity Prediction of Inorganic Materials
TL;DR: This work builds a machine learning (ML)-based model to accurately and instantly predict inorganic materials, using a benchmark data set of experimentally measured lattice thermal conductivity of about 100 inorganic solids.