Jiyizhe Zhang

University of Cambridge — United Kingdom

Engineering · Physical Sciences

9h-index194citations26works0.82yr avg
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Research Topics

Innovative Microfluidic and Catalytic Techniques Innovation(12), Process Optimization and Integration(9), Advanced Control Systems Optimization(8), Fluid Dynamics and Mixing(7), Fault Detection and Control Systems(5)

Publications26 total

Autonomous in silico optimization framework for high-performance micromixers
Chemical Engineering Journal·2026Open Access
Supplementary information files for "Autonomous in silico optimization framework for high-performance micromixers"
Loughborough University Research Repository (Loughborough University)·2026Open Access
Supplementary information files for "Autonomous in silico optimization framework for high-performance micromixers"
OPAL (Open@LaTrobe) (La Trobe University)·2026Open Access
A Machine Learning‐Driven Pore‐Scale Network Model Coupling Reaction Kinetics and Interparticle Transport for Catalytic Process Design
Advanced Science·2025Open Access
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
arXiv (Cornell University)·2025Open Access
From Optimization to Mechanism: Bayesian Optimization-Guided Exploration of p-Xylene Electro-oxidation
ACS Sustainable Chemistry & Engineering·2025Open Access
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part II: Compartmentalization and learning-based recalibration
Computers & Chemical Engineering·2025· 2 citedOpen Access
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part I: Conceptual framework and equation generation
Computers & Chemical Engineering·2025· 2 citedOpen Access
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025Open Access
Real-time probing of fast chemical reactions at the oil/water interface during microdroplet generation
Journal of Colloid and Interface Science·2025· 1 cited
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025· 1 citedOpen Access
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part I: Conceptual Framework and Equation Generation
2025Open Access
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning - Part I: Conceptual framework and equation generation
2025Open Access
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025· 1 citedOpen Access
Multi-objective reaction optimization under uncertainties using expected quantile improvement
Computers & Chemical Engineering·2025· 5 citedOpen Access
Multi-objective reaction optimization under uncertainties using expected quantile improvement
2024Open Access
Multi-objective Bayesian optimisation using <i>q</i> -noisy expected hypervolume improvement ( <i>q</i> NEHVI) for the Schotten–Baumann reaction
Reaction Chemistry & Engineering·2023· 30 citedOpen Access
Multi-objective Bayesian optimisation using q-Noisy Expected Hypervolume Improvement (qNEHVI) for Schotten-Baumann reaction
2023· 9 citedOpen Access
Mass Transfer and Droplet Behaviors in Liquid-Liquid Extraction Process Based on Multi-Scale Perspective: A Review
Separations·2023· 27 citedOpen Access
Dynamic interfacial tension and adsorption kinetics of nonionic surfactants during microfluidic droplet formation process
Chemical Engineering Journal·2022· 35 cited
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Frequent Co-authors

Alexei A. Lapkin(13), Naoto Sugisawa(8), Yundong Wang(7), Jan-Frederic Laub(7), Mathis Heyer(7), Geoffrey W. Stevens(5), Weiyang Fei(5), Kai Wang(3), Kathryn A. Mumford(3), Liang Xiao(2), Guangsheng Luo(2), Kobi Felton(2), Shinichiro Fuse(2), Wen Li(2), Daria Semochkina(2), David C. Woods(2), Xiao Liang(2), Xiao Liang(2), Yue Xie(2), Wensheng Huang(2)