Nitrogen accountancy in space agriculture
Food production and pharmaceutical synthesis are posited as essential biotechnologies for
facilitating human exploration beyond Earth. These technologies not only offer critical green …
facilitating human exploration beyond Earth. These technologies not only offer critical green …
[HTML][HTML] Linearizing nonlinear dynamics using deep learning
The majority of systems of practical interest are characterized by nonlinear dynamics. This
renders the control and optimization of such systems a complex task owing to their nonlinear …
renders the control and optimization of such systems a complex task owing to their nonlinear …
Integrating Order-of-Magnitude Analysis to Physics-Informed Neural Networks for Linear Chromatographic Models
YC Chen, SJ Yao, DQ Lin - Industrial & Engineering Chemistry …, 2025 - ACS Publications
A hybrid (gray-box) modeling framework, physics-informed neural networks (PINNs), has
garnered significant attention. However, a huge challenge in applying PINNs to …
garnered significant attention. However, a huge challenge in applying PINNs to …
Advances in modeling analysis for multi-parameter bioreactor process control
X Lin, K Li, C Wu, C Zhang, G Zhang, X Huo - … and Bioprocess Engineering, 2025 - Springer
The multi-parameter intricate process control of bioreactor systems poses an urgent
challenge to cell culture. It is feasible to simulate and analyze the implications of each …
challenge to cell culture. It is feasible to simulate and analyze the implications of each …
[BOOK][B] Data-Driven Learning and Optimization of Dynamical Systems
G Makrygiorgos - 2023 - search.proquest.com
Dynamical systems analysis and optimization is pivotal for safe, efficient, and resilient
processes that consistently deliver high-quality products. Conventionally, decision-making …
processes that consistently deliver high-quality products. Conventionally, decision-making …