Results 211 to 220 of about 142,307 (303)
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
AIChE Journal, EarlyView.Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
The Hungry Daemon: Does an Energy-Harvesting Active Particle Have to Obey the Second Law of Thermodynamics? [PDF]
Entropy (Basel)Bienewald S, Fieguth DM, Anglin JR.
europepmc +1 more source
Finite-time thermodynamics: Engine performance improved by optimized piston motion
, 1981 M. Mozurkewich, R. Stephen Berry
openalex +2 more sources
A trust‐region funnel algorithm for gray‐box optimization
AIChE Journal, EarlyView.Abstract Gray‐box optimization, where parts of optimization problems are represented by algebraic models while others are treated as black‐box models lacking analytic derivatives, remains a challenge. Trust‐region (TR) methods provide a robust framework for gray‐box problems through local reduced models (RMs) for black‐box components, but they are ...
Gul Hameed +4 more
wiley +1 more source
AIChE Journal, EarlyView.Abstract This article demonstrates the integration of in‐line mass spectrometry as a process analytical technology (PAT) tool with model‐based soft sensors in a continuous filtration‐drying carousel system for solid–liquid separation (SLS) of crystal slurries.
Inyoung Hur +3 more
wiley +1 more source
Design of a Cylindrical Thermal Rotary Concentrator Based on Transformation Thermodynamics. [PDF]
Materials (Basel)Xia G, He X, Jia Y, Zhu Y, Tian Z.
europepmc +1 more source
AIChE Journal, EarlyView.Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
Entropy of a Quasi-de Sitter Spacetime and the Role of Specific Heat. [PDF]
Entropy (Basel)Luongo O, Azizinia M, Boshkayev K.
europepmc +1 more source
Graph‐based imitation and reinforcement learning for efficient Benders decomposition
AIChE Journal, EarlyView.Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman +3 more
wiley +1 more source
Universal efficiency boost in prethermal quantum heat engines at negative temperature. [PDF]
Nat CommunBrollo A, Del Campo A, Bastianello A.
europepmc +1 more source