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Qi-Jun Hong

Researcher at Brown University

Publications -  26
Citations -  1016

Qi-Jun Hong is an academic researcher from Brown University. The author has contributed to research in topics: Melting point & Ab initio. The author has an hindex of 13, co-authored 26 publications receiving 667 citations. Previous affiliations of Qi-Jun Hong include Arizona State University & California Institute of Technology.

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CO2 fixation into methanol at Cu/ZrO2 interface from first principles kinetic Monte Carlo

Qian-Lin Tang, +2 more
- 01 Apr 2009 - 
TL;DR: In this paper, the catalytic kinetics of CO2 fixation to methanol over a binary catalyst Cu/ZrO2 is investigated by first principles kinetic Monte Carlo simulation.
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Theoretical prediction of high melting temperature for a Mo–Ru–Ta–W HCP multiprincipal element alloy

Qi-Jun Hong, +6 more
TL;DR: In this article, the authors identify a promising pool of candidate substitute alloys consisting of Mo, Ru, Ta, and W and demonstrate that one of the candidates, Mo0.122, exhibits a high melting temperature (around 2626 K), thus supporting its use in high-temperature applications.
Journal ArticleDOI

Prediction of the material with highest known melting point from ab initio molecular dynamics calculations

Qi-Jun Hong, +1 more
- 01 Jul 2015 - 
TL;DR: In this paper, the authors conduct an extensive investigation into the Hf-Ta-C system, which includes the compounds that have the highest melting points known to date, and identify three major chemical factors that contribute to the high melting temperatures.
Posted ContentDOI

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US

Estee Y Cramer, +284 more
- 05 Feb 2021 - 
TL;DR: In this paper, the authors systematically evaluated 23 models that regularly submitted forecasts of reported weekly incident COVID-19 mortality counts in the US at the state and national level at the CDC.
Journal ArticleDOI

Mechanism of CO2 hydrogenation over Cu/ZrO2(2̅12) interface from first-principles kinetics Monte Carlo simulations

Qi-Jun Hong, +1 more
- 01 Oct 2010 - 
TL;DR: In this paper, the authors performed an extensive analysis on CO 2 hydrogenation over a Cu/ZrO 2 model catalyst by employing density functional theory (DFT) calculations and kinetic Monte Carlo (kMC) simulations based on the continuous stirred tank model.