Yuncheng Du
Associate ProfessorDr. Du’s research aims to advance the understanding of complex systems by integrating experimental and computational approaches, and to translate that knowledge into applications across health and technology. Examples of specific applications include physiological modeling, materials development, and therapeutic technologies.
Dr. Du's research focuses on understanding and controlling complex biological and engineered systems by integrating modeling, machine learning , and experimental methods. We specifically apply process systems engineering principles to areas such as physiological systems modeling, smart materials development, and nanomaterial design. Application span health-related technologies, including biomedical devices, metal-organic frameworks, and targeted drug delivery systems.
Selected Publications
- Cristina Sanchez Cereceda, Yuncheng Du. Effect of synthesis parameters on ZIF-8 morphology: Insights from experimental and statistical integrated analysis. Microporous and Mesoporous Materials, 2025. https://doi.org/10.1016/j.micromeso.2025.113588.
- Yuncheng Du, Cristina Sanchez Cereceda, Dongping Du. Data-driven approaches for autonomous experimentation: Insights into modeling and prediction dynamics of metal–organic frameworks synthesis. MRS Communications, 2025. https://doi.org/10.1557/s43579-025-00764-3
- Yuncheng Du. From synthesis to machine learning-assisted analysis: investigating silver nanowires effects on conductive films. Nano: Brief Reports and Reviews, 2025. https://doi.org/10.1142/S1793292025500845
- Yuncheng Du, Cristina Sanchez Cereceda, Aidan J. Hayles. Genetic algorithm-optimized machine learning models for drug loading prediction. Functional Materials Letters, 2025. https://doi.org/10.1142/S1793604725500213
- Yuncheng Du, Cristina Sanchez Cereceda, Dongping Du. Machine learning based insights for metal-organic frameworks synthesis: a comparative and explainable analysis of ZIF-8 morphology. Materials Today Communications, 2025. https://doi.org/10.1016/j.mtcomm.2024.111177
- Yuncheng Du. Transfer learning-based modeling of synthesis-particle size relationships in metal-organic frameworks. Nano Trends, 2025. https://doi.org/10.1016/j.nwnano.2025.100153