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Mohsen Tamtaji

Hong Kong University of Science & Technology (HKUST)

SCHOLARLY PAPERS

5

DOWNLOADS

208

TOTAL CITATIONS

6

Scholarly Papers (5)

1.

Aligned Carbon-Doping to Modulate Thermal and Electrical Conductivity of Boron Carbon Nitride Grown from Chemical Vapor Deposition

Number of pages: 27 Posted: 03 Jul 2023
Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST) and Hong Kong University of Science & Technology (HKUST)
Downloads 54 (1,031,043)

Abstract:

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Boron Carbon Nitride, thermal conductivity, carbon doping, chemical vapor deposition, hexagonal boron nitride, optothermal method

2.

High-Throughput Screening of Dual Atom Catalysts for the Oxygen Reduction and Oxygen Evolution Reactions for Rechargeable Zinc-Air Batteries

Number of pages: 76 Posted: 06 Feb 2024
Hong Kong University of Science & Technology (HKUST), Pohang University of Science and Technology (POSTECH) - Pohang Accelerator Laboratory, Hong Kong Polytechnic University, Hong Kong Polytechnic University, Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Hong Kong, Hong Kong University of Science & Technology (HKUST), affiliation not provided to SSRN, California Institute of Technology (Caltech) - Materials and Process Simulation Center (139-74) and The University of Hong Kong
Downloads 44 (1,133,231)
Citation 6

Abstract:

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Electrocatalyst, overpotential, spin state, descriptor, Machine learning, feature importance

3.

Non-Precious Triple-Atom Catalysts with Ultra-High Activity for Electrochemical Reduction of Nitrate to Ammonia: A Dft Screening

Number of pages: 27 Posted: 23 Sep 2024
The University of Hong Kong, Hong Kong University of Science & Technology (HKUST), affiliation not provided to SSRN, California Institute of Technology (Caltech) - Materials and Process Simulation Center (139-74) and The University of Hong Kong
Downloads 39 (1,196,171)

Abstract:

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Nitrate reduction, Ammonia synthesis, Non-noble metal-based catalysts, In silico catalyst design, Beyond single-atom catalysts

4.

Uniform Snse Nanosheets on 3d Graphene Host Enabling a Dual-Nucleation-Site Interface for Dendrite-Free Sodium Metal Batteries

Number of pages: 26 Posted: 11 Apr 2023
Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Hong Kong University of Science & Technology (HKUST), Xi'an Jiaotong University (XJTU) - Key Laboratory of Biomedical Information Engineering, Ministry of Education, Government of the United States of America - Argonne National Laboratory and Hong Kong University of Science & Technology (HKUST)
Downloads 39 (1,196,171)

Abstract:

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Sodium metal batteries, SnSe, Na15Sn4/ Na2Se interface, uniform Na nucleation

5.

Enhanced Singlet Oxygen Production Under Nanoconfinement Using Silica Nanocomposites Towards Improving the Photooxygenation's Conversion

Number of pages: 28 Posted: 23 Mar 2022
Mohsen Tamtaji and Mohammad Kazemeini
Hong Kong University of Science & Technology (HKUST) and Sharif University of Technology
Downloads 32 (1,290,922)

Abstract:

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Organocatalyst, Methylene Blue, Dihydroartemisinic Acid, Machine Learning