Dongda Zhang - RankMe

22 papers Journal 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Fidelity and Diversity in Chemical Language Transformers for Inverse Molecular Design. J. Chem. Inf. Model. Alexander W. Rogers, Ruediger Zillmer, Amanda Lane, Adam Kowalski, Dongda Zhang
2025	J	`jnl`	Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery. CoRR Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, King Kuok Hii, Klaus Hellgardt, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2025	J	`jnl`	MolPrice: assessing synthetic accessibility of molecules based on market value. J. Cheminformatics Friedrich Hastedt, Klaus Hellgardt, Sophia N. Yaliraki, Dongda Zhang, Antonio del Rio-Chanona
2025	J	`jnl`	Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses. Comput. Chem. Eng. Sebastián Espinel-Ríos, José L. Avalos, Ehecatl Antonio del Rio-Chanona, Dongda Zhang
2025	J	`jnl`	Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses. CoRR Sebastián Espinel-Ríos, José L. Avalos, Ehecatl Antonio del Rio-Chanona, Dongda Zhang
2025	J	`jnl`	Reinforcement learning for robust dynamic metabolic control. CoRR Sebastián Espinel-Ríos, River Walser, Dongda Zhang
2024	J	`jnl`	Enhancing reinforcement learning for population setpoint tracking in co-cultures. CoRR Sebastián Espinel-Ríos, Joyce Qiaoxi Mo, Dongda Zhang, Ehecatl Antonio del Rio-Chanona, José L. Avalos
2024	J	`jnl`	Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development. CoRR Alexander W. Rogers, Amanda Lane, Cesar Mendoza, Simon Watson, Adam Kowalski, Philip Martin, Dongda Zhang
2024	J	`jnl`	Simplest Mechanism Builder Algorithm (SiMBA): An Automated Microkinetic Model Discovery Tool. CoRR Miguel Ángel de Carvalho Servia, King Kuok Hii, Klaus Hellgardt, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2023	J	`jnl`	The Automated Discovery of Kinetic Rate Models - Methodological Frameworks. CoRR Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, Klaus Hellgardt, King Kuok Hii, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2022	J	`jnl`	Distributional Reinforcement Learning for Scheduling of Chemical Production Processes. CoRR Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2022	J	`jnl`	Safe chance constrained reinforcement learning for batch process control. Comput. Chem. Eng. Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Dongda Zhang
2021	J	`jnl`	Constrained model-free reinforcement learning for process optimization. Comput. Chem. Eng. Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2021	J	`jnl`	Safe Chance Constrained Reinforcement Learning for Batch Process Control. CoRR Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Robin Smith, Dongda Zhang
2020	J	`jnl`	Chance Constrained Policy Optimization for Process Control and Optimization. CoRR Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Federico Galvanin, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2020	J	`jnl`	Constrained Model-Free Reinforcement Learning for Process Optimization. CoRR Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Antonio del Rio-Chanona
2020	J	`jnl`	Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. CoRR Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2020	J	`jnl`	Reinforcement learning for batch bioprocess optimization. Comput. Chem. Eng. Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2020	J	`jnl`	Stochastic data-driven model predictive control using gaussian processes. Comput. Chem. Eng. Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2019	J	`jnl`	Reinforcement Learning for Batch Bioprocess Optimization. CoRR Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2019	J	`jnl`	Stochastic data-driven model predictive control using Gaussian processes. CoRR Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2018	J	`jnl`	Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes. Comput. Chem. Eng. Eric Bradford, Artur M. Schweidtmann, Dongda Zhang, Keju Jing, Ehecatl Antonio del Rio-Chanona