We discuss a long-standing discrepancy in the equation of state of charge-neutral plasmas, the occurrence of an e(2) direct term. This e(2) term may appear in dependence of the way to determine the mean value of the potential energy. We show that such a contribution should not appear for pure Coulomb interaction.
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http://dx.doi.org/10.1103/PhysRevE.91.013108 | DOI Listing |
Sci Rep
December 2024
School of Mechanical and Electrical Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, People's Republic of China.
In the context of an aging society, products for the elderly typically need to meet the criteria of ease of use and reduction of physical fatigue. Focusing on elderly shopping scene, combined with the ergonomic principles and JACK simulation software analysis, a method of mapping NIOSH lifting equation to the product optimization design is proposed to optimize the dimensions and styling design of the elderly shopping trolley as a carrier, to optimize length, depth, and basket height from the ground. When the handle height of the elderly shopping cart is adjustable to three levels: 795 mm, 908 mm, and 1021 mm, it can effectively reduce the pressure on the lower limbs.
View Article and Find Full Text PDFThe study explore machine learning (ML) techniques to predict temperature-dependent photoluminescence (PL) spectra in colloidal CdSe nanoplatelets (NPLs), leveraging polynomial regression models trained on experimental data from 85 to 270 K spanning temperatures to forecast PL spectra backward to 0 K and forward to 300 K. 6th-degree polynomial models with Tweedie regression were optimal for band energy ([Formula: see text]) predictions up to 300 K, while 9th-degree models with LassoLars and Linear Regression regressors were suitable for backward predictions to 0 K. For exciton energy ([Formula: see text]), the Lasso model of degree 5 and the Ridge model of degree 4 performed well up to 300 K, while the Tweedie model of degree 2 and Theil-Sen model of degree 2 showed promise for predictions to 0 K.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", Università di Bologna, 40126, Bologna, Italy.
Spiking Neural Networks (SNNs) stand as the third generation of Artificial Neural Networks (ANNs), mirroring the functionality of the mammalian brain more closely than their predecessors. Their computational units, spiking neurons, characterized by Ordinary Differential Equations (ODEs), allow for dynamic system representation, with spikes serving as the medium for asynchronous communication among neurons. Due to their inherent ability to capture input dynamics, SNNs hold great promise for deep networks in Reinforcement Learning (RL) tasks.
View Article and Find Full Text PDFMicrosyst Nanoeng
December 2024
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, 32611, USA.
Nanoelectromechanical systems (NEMS) incorporating atomic or molecular layer van der Waals materials can support multimode resonances and exotic nonlinear dynamics. Here we investigate nonlinear coupling of closely spaced modes in a bilayer (2L) molybdenum disulfide (MoS) nanoelectromechanical resonator. We model the response from a drumhead resonator using equations of two resonant modes with a dispersive coupling term to describe the vibration induced frequency shifts that result from the induced change in tension.
View Article and Find Full Text PDFJ Chem Theory Comput
December 2024
Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States.
We present an application of our new theoretical formulation of quantum dynamics, moment propagation theory (MPT) (Boyer et al., J. Chem.
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