Tran Doan Huan
Materials Chemistry · 2014–2018
A researcher in the Science corpus: 8 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 122 citations into it; #9,587 of 11,513 by trust here, #4,910 by citations
- Electrical and Electronic Engineering — 73 citations into it; #14,582 of 16,539 by trust here, #4,391 by citations
- Atomic and Molecular Physics, and Optics — 24 citations into it
- Molecular Biology — 14 citations into it
Whom Tran Doan Huan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stefano Baroni
- Stefan Goedecker
- Ghanshyam Pilania
- Artem R. Oganov
- V. Botu
- John Robertson
- Stefano de Gironcoli
- Rampi Ramprasad
- A. P. Bart'ok
- Z. Dang
Who trusts Tran Doan Huan overall
Papers from Tran Doan Huan's perspective
Ordered by how strongly the researchers Tran Doan Huan trusts endorse each paper. Same corpus, a different order for every researcher.
- Inhomogeneous Electron Gas
- Fast and accurate modeling of molecular atomization energies with machine learning.
- Adaptive machine learning framework to accelerate ab initio molecular dynamics
- Minima hopping: an efficient search method for the global minimum of the potential energy surface of complex molecular systems. (Journal of Chemical Physics)
- Polymer electronic memories: Materials, devices and mechanisms
- Computational high-throughput screening of electrocatalytic materials for hydrogen evolution (Nature Materials)
- Inverse Design of High Absorption Thin‐Film Photovoltaic Materials
- A high-mobility electron-transporting polymer for printed transistors (Nature)
- Phonons and lattice dielectric properties of zirconia
- High field conduction in biaxially oriented polypropylene at elevated temperature (IEEE transactions on dielectrics and electrical insulation)
Their papers
- Machine Learning Strategy for Accelerated Design of Polymer Dielectrics (2016) — 360 citations
- Factors Favoring Ferroelectricity in Hafnia: A First-Principles Computational Study (2017) — 203 citations
- Pathways towards ferroelectricity in hafnia (2014) — 345 citations
- A universal strategy for the creation of machine learning-based atomistic force fields (2017) — 224 citations
- Mesoporous MoO3–x Material as an Efficient Electrocatalyst for Hydrogen Evolution Reactions (2016) — 406 citations
- Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions (2018) — 444 citations
- Dopants Promoting Ferroelectricity in Hafnia: Insights from a comprehensive Chemical Space Exploration (2017) — 188 citations
- Advanced polymeric dielectrics for high energy density applications (2016) — 328 citations