Results 51 to 60 of about 716,340 (266)
Optimal control of dissipation and work fluctuations for rapidly driven systems
New Journal of Physics, 2023 To achieve efficient and reliable control of microscopic systems one should look for driving protocols that mitigate both the average dissipation and stochastic fluctuations in work.
Alberto Rolandi +2 more
doaj +1 more source
Arcsine Laws in Stochastic Thermodynamics [PDF]
Physical Review Letters, 2018 We show that the fraction of time a thermodynamic current spends above its average value follows the arcsine law, a prominent result obtained by Lévy for Brownian motion. Stochastic currents with long streaks above or below their average are much more likely than those that spend similar fractions of time above and below their average.
Barato, A. +3 more
openaire +5 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Thermodynamics in Stochastic Conway’s Game of Life
Condensed Matter, 2023 Cellular automata can simulate many complex physical phenomena using the power of simple rules. The presented methodological platform expresses the concept of programmable matter, of which Newton’s laws of motion are an example.
Krzysztof Pomorski, Dariusz Kotula
doaj +1 more source
Stochastic thermodynamics of hidden pumps [PDF]
Physical Review E, 2015 8 pages, 3 figures, v1: First version, v2: Major changes, new applications and new results (pumping can always be performed reversibly), v3 version accepted in Phys.
Esposito, Massimiliano +1 more
openaire +5 more sources
Stochastic Simulation of the Kinetics of Multiple Interacting Nucleic Acid Strands [PDF]
, 2013 DNA nanotechnology is an emerging field which utilizes the unique structural properties of nucleic acids in order to build nanoscale devices, such as logic gates, motors, walkers, and algorithmic structures. Predicting the structure and interactions of a
Schaeffer, Joseph Malcolm
core +1 more source
Advanced Functional Materials, EarlyView.Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang +11 more
wiley +1 more source
Stochastic thermodynamics with information reservoirs [PDF]
Physical Review E, 2014 We generalize stochastic thermodynamics to include information reservoirs. Such information reservoirs, which can be modeled as a sequence of bits, modify the second law. For example, work extraction from a system in contact with a single heat bath becomes possible if the system also interacts with an information reservoir. We obtain an inequality, and
Barato, Andre C., Seifert, Udo
openaire +3 more sources
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Advanced Functional Materials, EarlyView.Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
General relativistic stochastic thermodynamics
SciPost Physics CoreBased on the recent work [J. Stat. Phys. 190, 193 (2023), J. Stat. Phys. 190, 181 (2023)], we formulate the first law and the second law of stochastic thermodynamics in the framework of general relativity.
Tao Wang, Yifan Cai, Long Cui, Liu Zhao
doaj +1 more source