A reinforcement learning‐based hybrid modeling framework for bioprocess kinetics identification
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28262
Abstract: Constructing predictive models to simulate complex bioprocess dynamics, particularly time‐varying (i.e., parameters varying over time) and history‐dependent (i.e., current kinetics dependent on historical culture conditions) behavior, has been a longstanding research challenge. Current advances in… read more here.
Keywords: time; bioprocess; reinforcement learning; framework ... See more keywords
Hybrid Modeling of the Reversed‐Phase Chromatographic Purification of an Oligonucleotide: Few‐Shot Learning From Differentiable Physics Solver‐in‐the‐Loop
Sign Up to like & getrecommendations! Published in 2025 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.29018
Abstract: Hybrid models integrate mechanistic and data‐driven components, effectively addressing the challenges of limited process understanding and data availability typical of biopharmaceutical processes. In this study, we applied a hybrid modeling framework named differentiable physics solver‐in‐the‐loop… read more here.
Keywords: differentiable physics; reversed phase; solver loop; hybrid modeling ... See more keywords
A hybrid modeling methodology for cyber physical production systems: framework and key techniques
Sign Up to like & getrecommendations! Published in 2021 at "Production Engineering"
DOI: 10.1007/s11740-021-01062-2
Abstract: Cyber-Physical System (CPS) is an emergent approach that focuses on the integration of computational applications with physical devices, being designed as a network of interacting cyber and physical elements. In view of the poor plasticity… read more here.
Keywords: methodology; cyber physical; physical production; key techniques ... See more keywords
Shock response prediction of the typical structure in spacecraft based on the hybrid modeling techniques
Sign Up to like & getrecommendations! Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.04.018
Abstract: Abstract In order to solve the failure of traditional methods in the response prediction for the complex spacecraft under the wide frequency shock load, this paper provides the FE-SEA (Finite Element-Statistical Energy Analysis) hybrid modeling… read more here.
Keywords: typical structure; hybrid modeling; structure; shock response ... See more keywords
Hybrid modeling of power electronic system for hardware-in-the-loop application
Sign Up to like & getrecommendations! Published in 2018 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2018.06.018
Abstract: Abstract In real-time simulation applications, hardware-in-the-loop (HIL) within nanosecond time step of large size power electronic systems involving high-frequency control strategy is still a big challenge today. In this paper, we propose a new hybrid… read more here.
Keywords: system; hardware loop; time; power ... See more keywords
A Hybrid Modeling Method Based on Neural Networks and Its Application to Microwave Filter Tuning
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.117
Abstract: Abstract In performance tuning of many electromechanical devices, well-trained operators are in great demand. However, manual tuning is costly and time-consuming, and thus do not conform to the trend of smart manufacturing. Microwave filters are… read more here.
Keywords: method based; based neural; neural networks; modeling method ... See more keywords
Linking population dynamics to microbial kinetics for hybrid modeling of bioelectrochemical systems.
Sign Up to like & getrecommendations! Published in 2021 at "Water research"
DOI: 10.1016/j.watres.2021.117418
Abstract: Mechanistic and data-driven models have been developed to provide predictive insights into the design and optimization of engineered bioprocesses. These two modeling strategies can be combined to form hybrid models to address the issues of… read more here.
Keywords: bioelectrochemical systems; population dynamics; hybrid modeling; population ... See more keywords
Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-13159-0
Abstract: Nanofibers have gained recognition as promising materials for air filtration due to their high surface area-to-volume ratio, adjustable porosity, and exceptional mechanical properties. However, optimizing their structural characteristics to maximize filtration efficiency while minimizing pressure… read more here.
Keywords: filtration; filtration applications; hybrid modeling; air filtration ... See more keywords
Hybrid Modeling for Design of a Novel Bridge Pier Collar for Reducing Scour
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Hydraulic Engineering"
DOI: 10.1061/(asce)hy.1943-7900.0001875
Abstract: AbstractBridge pier scour poses major concerns for public safety and riverine communities because of its ability to undermine pier foundations. A new collar design is introduced as an improvement o... read more here.
Keywords: novel bridge; bridge pier; modeling design; hybrid modeling ... See more keywords
Hybrid Modeling of Joukowsky-Barrier Synchronous Reluctance Machines
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2025.3529489
Abstract: This article presents the hybrid modeling of synchronous reluctance (SynRe) machines equipped with any number of Joukowsky flux barriers (JFBs). The rotor, which includes the JFBs, the flux guides (FGs), and tangential ribs, is modeled… read more here.
Keywords: joukowsky barrier; method; reluctance; modeling joukowsky ... See more keywords
Hybrid Modeling and Switching Control of Electric Vehicle Aggregation for Frequency Regulation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2025.3540253
Abstract: The aggregation and control of massive electric vehicles (EVs) are crucial for grid frequency regulation (FR). However, challenges such as disordered charging, high computational and communication burdens need to be addressed. To this end, a… read more here.
Keywords: frequency regulation; control; hybrid modeling; aggregation ... See more keywords