Dr. Hua Wang

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Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

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11 March 2019 in Nature Communications

Journal Article

Exploring the ternary interactions in Cu–ZnO–ZrO2 catalysts for efficient CO2 hydrogenation to methanol

Yuhao Wang

Shyam Kattel

Wengui Gao

Kongzhai Li

Ping Liu

Hua Wang

The synergistic interaction among different components in complex catalysts is one of the crucial factors in determining catalytic performance. Here we report the interactions among the three components in controlling the catalytic performance of Cu–ZnO–ZrO₂ (CZZ) catalyst for CO₂ hydrogenation to methanol. The in situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) measurements under the activity test pressure (3 MPa) reveal that the CO₂ hydrogenation to methanol on the CZZ catalysts follows the formate pathway. Density functional theory (DFT) calculations agree with the in situ DRIFTS measurements, showing that the ZnO–ZrO₂ interfaces are the active sites for CO₂ adsorption and conversion, while the presence of metallic Cu is also necessary to facilitate H₂ dissociation and to provide hydrogen resource. The combined experiment and DFT results reveal that tuning the interaction between ZnO and ZrO₂ can be considered as another important factor for designing high performance catalysts for methanol generation from CO₂.

28 September 2021 in Chemical Society Reviews

Journal Article

Density functional theory studies of transition metal carbides and nitrides as electrocatalysts

Steven R. Denny

This review summarizes density functional theory (DFT) studies of TMCs and TMNs as electrocatalysts. It provides atomistic details of HER, OER, ORR, N₂RR and CO₂RR and also presents a future outlook in designing TMCs and TMNs based electrocatalysts.

31 October 2024 in Advanced Energy Materials

Journal Article

Self‐Induced Bi‐interfacial Modification via Fluoropyridinic Acid For High‐Performance Inverted Perovskite Solar Cells

Kunpeng Li

Yong Zhu

Xiong Chang

Mengni Zhou

Xixi Yu

Tao Zhu

2 April 2013 in Energies

Journal Article

Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting

Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR), this paper presents a SVR model hybridized with the empirical mode decomposition (EMD) method and auto regression (AR) for electric load forecasting. The electric load data of the New South Wales (Australia) market are employed for comparing the forecasting performances of different forecasting models. The results confirm the validity of the idea that the proposed model can simultaneously provide forecasting with good accuracy and interpretability.

21 March 2018 in Physical Chemistry Chemical Physics

Journal Article

DFT insights into oxygen vacancy formation and CH ₄ activation over CeO ₂ surfaces modified by transition metals (Fe, Co and Ni)

Yonggang Wei

The effects of transition metal (Fe, Co and Ni) modification (adsorption, insertion and substitution) of CeO ₂ surfaces on oxygen vacancy formation and CH ₄ activation are studied on the basis of first principles calculations.

1 September 2021 in Journal of Hazardous Materials

Journal Article

Co-treatment of electroplating sludge, copper slag, and spent cathode carbon for recovering and solidifying heavy metals

Yu Yong

Hua Wang

Hu Jianhang

About Me

Prof. Dr. Hua Wang is a Professor II and postdoctoral fellow of Kyoto University, and serves as the president of KUST. He is the director of the State Key Laboratory of Clean Utilization in Complex Non-ferrous Metal Resources jointly built by the Ministry and the Province. He is also the director of the National and Local Joint Engineering Research Center of Metallurgical and Chemical Energy Conservation and Environmental Protection Technology, as well as the director of the Engineering Research Center of the Ministry of Education of Metallurgical Energy Conservation and Emission Reduction. Additionally, he is the director of the China Nonferrous Metals Society and the director of Energy Conservation and Emission Reduction Professional Committee. He has been devoted to the theory and engineering research of thermal process strengthening, energy saving, and carbon reduction in metallurgical furnaces and kilns. In 2014 and 2017, he was selected as one of the leading talents in science and technology in Yunnan Province and one of the leading talents in science and technology among the national high-level talent special support programs. In 2011, he was awarded the special allowance of the State Council; then, in 2014, he was named the national outstanding scientific and technological worker. He received the certificate of merit in the second national innovation competition in 2020.

Dr. Hua Wang

Dr. Hua Wang

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