Results 121 to 130 of about 203,104 (277)
Work Versus Force: Simultaneous Processes for Describing Interactions
Advanced Physics Research, EarlyView.ABSTRACT Achieving a unified description of interactions remains an open challenge in theoretical physics, which currently describes four fundamental forces. This situation may be viewed differently when interactions are formulated in terms of processes (work as actio) rather than forces (force as actio), not only at the macroscopic level but also at ...
Grit Kalies +2 more
wiley +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
Advanced Physics Research, EarlyView.A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Berichte zur Wissenschaftsgeschichte, EarlyView.I present and discuss two drafts of remarks prepared by the mathematician Hermann Minkowski (1864–1909). They were composed in December 1907 while preparing his paper on the “Basic Equations of Electromagnetic Processes in Moving Bodies” for publication in the Proceedings of the Göttingen Academy of Sciences.
Tilman Sauer
wiley +1 more source
On Generations of the Numbers of Bernoulli and Euler [PDF]
Proceedings of the National Academy of Sciences, 1937 openaire +3 more sources
Multi‐Scale Hybrid Modeling to Predict Cell Culture Process With Metabolic Phase Transitions
Biotechnology and Bioengineering, EarlyView.ABSTRACT To advance understanding of cellular metabolism and reduce batch‐to‐batch variability in cell culture processes, this study introduces a multi‐scale hybrid modeling framework designed to simulate and predict the dynamic behavior of CHO cell cultures undergoing metabolic phase transitions.
Keqi Wang, Sarah W. Harcum, Wei Xie
wiley +1 more source
On the Prediction of pDNA Productivity Across Diverse Bioprocesses Using Ensemble Hybrid Models
Biotechnology and Bioengineering, EarlyView.ABSTRACT The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal products (ATMPs). However, the reliance on suboptimal batch and/or fed‐batch processes, as well as the diversity and increasing complexity of plasmid constructs pose significant challenges during
Nikolaos Stratis +2 more
wiley +1 more source
Biotechnology and Bioengineering, EarlyView.ABSTRACT In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficiency and integrity, are essential but mechanistically complex. This study presents a modular mechanistic model of the IVT process to advance scientific understanding ...
Keqi Wang +12 more
wiley +1 more source
Biotechnology and Bioengineering, EarlyView.ABSTRACT Reinforcement learning (RL) has been used to control a wide range of dynamic processes, especially ones that are too complex to model well or have stochastic environmental perturbations. Fed‐batch fermentations are subject to changes in starting cell growth rates and process variations that can affect cell growth and secreted target production.
Sai Harish Uthravalli +3 more
wiley +1 more source
Memoirs of the Faculty of Science, Kyushu University. Series A, Mathematics, 1973 openaire +3 more sources
Biotechnology and Bioengineering, EarlyView.ABSTRACT Oxygen supply is a critical parameter in 3D cell cultivation using bioreactors. Since bioreactor designs often prioritise practical constraints, understanding the oxygen supply dynamics of the media is crucial for achieving either uniform or spatially controlled oxygen delivery.
Franziska Alt +4 more
wiley +1 more source