J
Jingbo Li
Researcher at Beijing Institute of Technology
Publications - 465
Citations - 22526
Jingbo Li is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Band gap & Heterojunction. The author has an hindex of 61, co-authored 403 publications receiving 17623 citations. Previous affiliations of Jingbo Li include Centre national de la recherche scientifique & University of Science and Technology Beijing.
Papers
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Electronic origin of the conductivity imbalance between covalent and ionic amorphous semiconductors
TL;DR: In this article, the electronic and optical properties of covalent and ionic oxide amorphous semiconductors were analyzed using first-principles molecular dynamics and electronic structure simulations.
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Metal to semiconductor transition in metallic transition metal dichalcogenides
TL;DR: In this paper, the electronic and magnetic properties of metallic transition metal dichalcogenides (mTMDCs) were tuned by 2D to 1D size confinement and the stability of the mTMDC monolayers and nanoribbons was demonstrated by the larger binding energy compared to the experimentally available semiconducting TMDCs.
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Oxygen vacancy boosted the electrochemistry performance of Ti4+ doped Nb2O5 toward lithium ion battery
TL;DR: In this article, an oxygen-deficient orthorhombic niobium oxide (T-Nb2O5) has been synthesized via a facile solid-state reaction method.
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Influential Electronic and Magnetic Properties of the Gallium Sulfide Monolayer by Substitutional Doping
TL;DR: In this paper, structural, electronic, and magnetic properties of the GaS monolayer doped by 12 different kinds of atoms were investigated systemically using first-principles calculations.
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PDECO: parallel differential evolution for clusters optimization.
TL;DR: A parallel differential evolution (DE) optimization scheme for large‐scale clusters is proposed that combines a modified DE algorithm with improved genetic operators and a parallel strategy with a migration operator to address the problems of numerous local optima and large computational demanding.