H
Hung M. Le
Researcher at Washington State University
Publications - 52
Citations - 1015
Hung M. Le is an academic researcher from Washington State University. The author has contributed to research in topics: Ab initio & Potential energy surface. The author has an hindex of 17, co-authored 51 publications receiving 763 citations. Previous affiliations of Hung M. Le include Oklahoma State University–Stillwater & Harvard University.
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Journal ArticleDOI
Insight into the adsorption mechanisms of methylene blue and chromium(iii) from aqueous solution onto pomelo fruit peel
Van-Phuc Dinh,Thuy-Diem-Thuy Huynh,Hung M. Le,Van-Dong Nguyen,Vinh Ai Dao,N. Quang Hung,L. Anh Tuyen,Sunhwa Lee,Junsin Yi,Trinh Duy Nguyen,Le Van Tan +10 more
TL;DR: In this article, the authors investigated the biosorption mechanisms of methylene blue (MB) and Cr(III) onto pomelo peel collected from local fruits by combining experimental analysis with ab initio simulations.
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Utilization of a Cloud-Based Diabetes Management Program for Insulin Initiation and Titration Enables Collaborative Decision Making Between Healthcare Providers and Patients
William C. Hsu,Ka Hei Karen Lau,Ruyi Huang,Suzanne Ghiloni,Hung M. Le,Scott Gilroy,Martin J. Abrahamson,John W. Moore +7 more
TL;DR: Mobile health technology could be an effective tool in sharing data, enhancing communication, and improving glycemic control while enabling collaborative decision making in diabetes care.
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A first-principles investigation of various gas (CO, H2O, NO, and O2) absorptions on a WS2 monolayer: stability and electronic properties
TL;DR: First-principles calculations investigate the interactions between a WS2 monolayer and several gas molecules (CO, H2O, NO, and O2) and establish good consistency with each other in terms of absorption stability and band gap estimations.
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Anion–Cation Double Substitution in Transition Metal Dichalcogenide to Accelerate Water Dissociation Kinetic for Electrocatalysis
TL;DR: In this article, a 3D mesoporous cubic pyrite-metal Co1-xVxSP was proposed to improve the hydrogen evolution reaction (HER) performance.
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Molecular dissociation of hydrogen peroxide (HOOH) on a neural network ab initio potential surface with a new configuration sampling method involving gradient fitting
TL;DR: The O-O bond dissociation of HOOH is investigated on an analytic ab initio potential-energy surface obtained by fitting the energies of 25,608 configurations using neural network (NN) methods and the effectiveness of the support vector machine (SVM) method in fitting large abinitio databases for MD calculations is investigated.