Results 221 to 230 of about 143,000 (295)
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
Advanced Energy Materials, EarlyView.Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah +4 more
wiley +1 more source
A Variational Formulation for Irreversible Thermodynamics with Path Dependence. [PDF]
Entropy (Basel)Ren H.
europepmc +1 more source
Finite time thermodynamics on shortcuts to adiabaticity and Szilárd engines
, 2021 Thiago Vaz Acconcia
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AIChE Journal, EarlyView.Abstract A multipore, multiphase, continuum model is assembled for the first time for room temperature sodium–sulfur (RT Na–S) batteries, with Na+ ion transport and redox reactions in the liquid electrolyte phase and semisolid phase of precipitates softened by the electrolyte solvent, as guided by molecular dynamics simulations in this study ...
Hakeem A. Adeoye +3 more
wiley +1 more source
Transfer Irreversibilities in the Lenoir Cycle: FTT Design Criteria with ε-NTU. [PDF]
Entropy (Basel)Páez-Hernández RT +4 more
europepmc +1 more source
Finite-time thermodynamics: Engine performance improved by optimized piston motion
, 1981 M. Mozurkewich, R. Stephen Berry
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AIChE Journal, EarlyView.Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Identification and quantification of irreversibility in stochastic systems.
Phys Chem Chem PhysGhosal A, Bisker G.
europepmc +1 more source
AIChE Journal, EarlyView.ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source