Fluctuating entropy production is studied for a set of linearly coupled complex fields. The general result is applied to non-equilibrium fluctuating hydrodynamic equations for coarse-grained fields (density, temperature, and velocity), in the framework of model granular fluids. We find that the average entropy production, obtained from the microscopic stochastic description, can be expressed in terms of macroscopic quantities, in analogy with linear non-equilibrium thermodynamics. We consider the specific cases of driven granular fluids with two different kinds of thermostat and the homogeneous cooling regime. In all cases, the average entropy production turns out to be the product of a thermodynamic force and a current: the former depends on the specific energy injection mechanism, the latter takes always the form of a static correlation between fluctuations of density and temperature time-derivative. Both vanish in the elastic limit. The behavior of the entropy production is studied at different length scales and the qualitative differences arising for the different granular models are discussed.
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http://dx.doi.org/10.1063/1.4731633 | DOI Listing |
Front Neurorobot
January 2025
College of Artificial Intelligence, Taiyuan University of Technology, Jinzhong, Shanxi, China.
Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of buildings, convolutional neural networks have been used to segment and extract buildings from such images, resulting in increased efficiency and utilization of image features. We propose a building semantic segmentation method to improve the traditional Unet convolutional neural network by integrating attention mechanism and boundary detection.
View Article and Find Full Text PDFAnal Methods
January 2025
College of Chemistry, Sichuan University, Chengdu 610064, China.
Platelet-derived growth factor-BB (PDGF-BB), an important protein biomarker, is closely associated with tumorigenesis. Therefore, it is important to develop a simple and sensitive method to detect PDGF-BB. Herein, we developed a dual recycling signal amplification strategy for colorimetric and sensitive detection of PDGF-BB using a PDGF-BB specific aptamer.
View Article and Find Full Text PDFAnal Chem
January 2025
State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China.
Timely and accurate detection of trace mycotoxins in agricultural products and food is significant for ensuring food safety and public health. Herein, a deep learning-assisted and entropy-driven catalysis (EDC)-Argonaute powered fluorescence single-particle aptasensing platform was developed for ultrasensitive detection of fumonisin B (FB) using single-stranded DNA modified with biotin and red fluorescence-encoded microspheres as a signal probe and streptavidin-conjugated magnetic beads as separation carriers. The binding of aptamer with FB releases the trigger sequence to mediate EDC cycle to produce numerous 5'-phosphorylated output sequences, which can be used as the guide DNA to activate downstream Argonaute (Ago) for cleaving the signal probe, resulting in increased number of fluorescence microspheres remaining in the final reaction supernatant after magnetic separation.
View Article and Find Full Text PDFAdv Mater
January 2025
State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures and School of Chemistry and Chemical Engineering, Guangxi University, Nanning, 530004, China.
Efficient and stable electrocatalytic hydrogen evolution reaction (HER) at high current densities is highly desirable for industrial-scale hydrogen production, which is yet challenging, because of the electrocatalyst with short lifespans during the acidic HER process. Here, a controllable preparation technique is successfully developed to synthesize PdPtRuRhAu high-entropy alloys (HEAs) of various sizes, within the 3.14 nm particles (HEA-3.
View Article and Find Full Text PDFAdv Mater
January 2025
Key Laboratory for Ultrafine Materials of Ministry of Education, Shanghai Environmental Friendly Materials Technical Service Platform, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
The lattice-strain engineering of high-entropy-oxide nanoparticles (HEO-NPs) is considered an effective strategy for achieving outstanding performance in various applications. However, lattice-strain engineering independent of the composition variation still confronts significant challenges, with existing modulation techniques difficult to achieve mass production. Herein, a novel continuous-flow synthesis strategy by flame spray pyrolysis (FSP) is proposed, which air varying flow rates is introduced for fast quenching to alter the cooling rate and control the lattice strain of HEO-NPs.
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