Results 191 to 200 of about 2,702,828 (312)

Reinforcement learning for optimal control of stochastic nonlinear systems

AIChE Journal, EarlyView.
Abstract A reinforcement learning (RL) approach is developed in this work for nonlinear systems under stochastic uncertainty. A stochastic control Lyapunov function (SCLF) candidate is first constructed using neural networks (NNs) as an approximator to the value function, and then a control policy designed using this SCLF is developed to ensure the ...
Xinji Zhu, Yujia Wang, Zhe Wu
wiley   +1 more source

Online Coupling High‐Temperature Electrolysis with Carbonylation Reactions: A Powerful Method for Continuous Carbon Dioxide Utilization

Angewandte Chemie, EarlyView.
A continuous process for carbonylation reactions based on the online coupling of dry, high‐temperature CO2 electrolysis with a coil reactor has been reported. The strategy relies on producing CO/CO2 mixtures onsite, without H2 or H2O entering the product gas, thus providing a safe and fast concept for the synthesis of several carbonyl compounds.
Kristof Stagel, Kirsten Rath, Prasad M. Kathe, Michael Schnürch, Tobias M. Huber, Alexander K. Opitz, Katharina Bica‐Schröder   +6 more
wiley   +2 more sources

Matter-Aggregating Systems at a Classical vs. Quantum Interface. [PDF]

Entropy (Basel)
Gadomski A, Kruszewska N.
europepmc   +1 more source

First Law of Thermodynamics and Friedmann Equations of Friedmann–Robertson–Walker Universe [PDF]

, 2005
Rong-Gen Cai, Sang Pyo Kim
openalex   +1 more source

Physics‐informed neural networks (PINNs) for high‐resolutional prediction of shear stress on cells in suspension culture

AIChE Journal, EarlyView.
Abstract The effect of shear stress on cell behaviors should be considered for designing the suspension culture of mammalian cells. Computational flow dynamics (CFD) is a promising tool for estimating shear stress on cells, but the accuracy is limited due to resolution limitations.
Ikki Horiguchi, Keisuke Shima, Yasunori Okano   +2 more
wiley   +1 more source

Photosynthesis of NH3 from NO3− Using CH4 in Homogenous Rhenium Catalysis

Angewandte Chemie, EarlyView.
We present a Re catalysis of one‐pot synthesis of NH3 from NO3− using CH4 as a reductant under UV light irradiation. We are able to directly convert NO3−, leading to several environmental issues, to NH3, an essential compound as a fertilizer and industrial raw material, by means of CH4, which has a high affinity with renewable resource/energy, as a ...
Genta Nakamura, Masaya Sakurai, Yohei Kametani, Yudai Kawasaki, Yoshihito Shiota, Kazunari Yoshizawa, Seiji Ogo, Takahiro Matsumoto   +7 more
wiley   +2 more sources

Differentiable modeling and optimization of non-aqueous Li-based battery electrolyte solutions using geometric deep learning. [PDF]

Nat Commun
Zhu S, Ramsundar B, Annevelink E, Lin H, Dave A, Guan PW, Gering K, Viswanathan V.   +7 more
europepmc   +1 more source

Linear Irreversible Thermodynamics: A Glance at Thermoelectricity and the Biological Scaling Laws. [PDF]

Entropy (Basel), 2023
Chimal-Eguia JC, Páez-Hernández RT, Pacheco-Paez JC, Ladino-Luna D.   +3 more
europepmc   +1 more source

The Second Law of Steady State Thermodynamics for Nonequilibrium Quantum Dynamics

, 2001
Satoshi Yukawa
openalex   +2 more sources

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source