4 papers
PyOMES: an open-source framework for biochemical process modelling
Ethan Errington, Tom Vinestock, Jaewook Lee +1
PyOMES is a Python-based, Open-source Modelling Environment for (bio)chemical process Simulation that aims to simplify the modelling of dynamic (including steady state) processes.…
Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization
Jaewook Lee, Ethan Errington, Christian D. Lorenz +1
Self-driving laboratories increasingly rely on multi-fidelity Bayesian optimization (MFBO) to balance cheap, approximate evaluations against scarce, expensive ones, with a predicti…
Temporal Dynamics of Microbial Communities in Anaerobic Digestion: Influence of Temperature and Feedstock Composition on Reactor Performance and Stability
Ellen Piercy, Xinyang Sun, Peter R Ellis +2
Anaerobic digestion (AD) offers a sustainable biotechnology to recover resources from carbon-rich wastewater, such as food-processing wastewater. Despite crude wastewater character…
A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential
Jaewook Lee, Xinyang Sun, Ethan Errington +1
Accurate prediction of Global Warming Potential (GWP) is essential for assessing the environmental impact of chemical processes and materials. Traditional GWP prediction models rel…