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Biao Wu

Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering

Shanghai, 200240

China

  • Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering

SCHOLARLY PAPERS

4

DOWNLOADS

268

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Efficient Thermodynamic Model Optimization and Uncertainty Quantification via Integration of Combinatorial Materials Chip and Bayesian Approach

Downloads 119 (613,149)

Efficient Thermodynamic Model Optimization and Uncertainty Quantification via Integration of Combinatorial Materials Chip and Bayesian Approach

Number of pages: 12 Posted: 12 Dec 2023
Haihui Zhang, Biao Wu, Chenghui Xia, Lanting Zhang and Hong Wang
Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering and Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering
Downloads 77 (848,302)

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CALPHAD modelling, Combinatorial materials chip, Bayesian approach, Uncertainty quantification

Efficient Thermodynamic Model Optimization and Uncertainty Quantification Via Integration of Combinatorial Materials Chip and Bayesian Approach

Number of pages: 9 Posted: 08 Aug 2023
Haihui Zhang, Biao Wu, Chenghui Xia, Lanting Zhang and Hong Wang
Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering and Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering
Downloads 42 (1,196,631)

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CALPHAD modelling, Combinatorial materials chip, Bayesian approach, Uncertainty quantification

2.

Estimating the Temperature Dependent Zero-Phase-Fraction Features in Ternary Phase Diagram Via Bayesian Approach

Number of pages: 16 Posted: 04 May 2023
Biao Wu, Haihui Zhang, Lanting Zhang and Hong Wang
Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering and Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering
Downloads 62 (961,006)

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Temperature dependent, Bayesian approach, Zero-phase-fraction features, Uncertainty quantification

3.

A Novel Approach for the Rapid Construction of the Composition-Phase Map Via Bayesian Strategies

Number of pages: 34 Posted: 01 Feb 2022
Biao Wu, Haihui Zhang, Yuanxun Zhou, Lanting Zhang and Hong Wang
Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering and Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering
Downloads 46 (1,109,210)

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Combinatorial material science, Bayesian statistic, Metropolis-Hastings Markov chain Monte, Uncertainty quantification

4.

Efficient Thermodynamic Modelling with Uncertainty Quantification of the Ag–Cu–Co System from its Sub-Binary Systems

Downloads 41 (1,170,409)

Efficient Thermodynamic Modelling with Uncertainty Quantification of the Ag–Cu–Co System from its Sub-Binary Systems

Number of pages: 24 Posted: 19 Apr 2023
Haihui Zhang, Biao Wu, Lanting Zhang and Hong Wang
Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering and Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering
Downloads 24 (1,445,011)

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CALPHAD modelling, Lead-free solder, ESPEI, First-principles calculations, Uncertainty quantification

Efficient Thermodynamic Modelling with Uncertainty Quantification of the Ag–Cu–Co System from its Sub-Binary Systems

Number of pages: 25 Posted: 18 May 2023
Haihui Zhang, Biao Wu, Lanting Zhang and Hong Wang
Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering, Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering and Shanghai Jiao Tong University (SJTU) - School of Materials Science and Engineering
Downloads 17 (1,537,408)

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CALPHAD modelling, Lead-free solder, ESPEI, First-principles calculations, Uncertainty quantification