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Laser ablation is often explained by a two-temperature model (TTM) with different electron and lattice temperatures. To realize a classical molecular dynamics simulation of the TTM, we propose an extension of the embedded atom method to…

Materials Science · Physics 2022-03-09 Yuta Tanaka , Shinji Tsuneyuki

Phase diagrams serve as a highly informative tool for materials design, encapsulating information about the phases that a material can manifest under specific conditions. In this work, we develop a method in which Bayesian inference is…

Materials Science · Physics 2023-09-06 Timofei Miryashkin , Olga Klimanova , Vladimir Ladygin , Alexander Shapeev

Thermally-operating regimes of a three-layer liquid metal battery are determined in terms of the aspect ratio. The heat exchange between the battery container and the environment is taken into account. Velocity fields and temperature…

Fluid Dynamics · Physics 2024-06-25 Riyad Hassaine , Olivier Crumeyrolle , Innocent Mutabazi

Lithium-ion batteries (LiBs) have transformed electrochemical energy storage technologies and made a substantial contribution to grid-scale energy storage and the e-mobility revolution. Notwithstanding their many benefits, safety issues…

Materials Science · Physics 2025-01-23 Md Rakibul Karim Akanda , Amaya Alexandria Holmes , Jinorri Wilson

An implementation of an electron temperature-dependent interaction potential for copper in a two-temperature model-molecular dynamics framework is presented. An algorithm for enforcing energy conservation when using such an interaction is…

Materials Science · Physics 2026-03-06 Simon Kümmel , Johannes Roth

For modern Gas sensors, high sensitivity and low power are expected. This paper discusses design, simulation and fabrication of new Micromachined Thermal Converters (MTCs) based on GaAs developed for Gas sensors. Metal oxide gas sensors…

Other Computer Science · Computer Science 2008-02-22 J. Jakovenko , M. Husak , T. Lalinskytfh , M. Drzik , G. Vanko

Analyzing rate-performance data in battery electrodes is greatly facilitated by access to simple analytical models. Here we describe a number of simple equations for fitting capacity-rate data. These equations output fit parameters, such as…

Applied Physics · Physics 2020-02-04 Jonathan Coleman , Ruiyuan Tian

We introduce a temperature-dependent parameterization in the modified embedded-atom method and combine it with molecular dynamics to simulate the diverse physical properties of the \delta - and \epsilon - phases of elemental plutonium. The…

Strongly Correlated Electrons · Physics 2015-06-15 Z. P. Yin , Xiaoyu Deng , K. Basu , Q. Yin , G. Kotliar

Micro-calorimetry offers significant potential as a quantitative method for studying the structure and function of biological systems, for instance, by probing the excess heat released by cellular or sub-cellular structures, isothermal or…

Biological Physics · Physics 2026-02-18 Faezeh Khodabandehlou , Christian Maes , Édgar Roldán

Luminescence is the phenomenon investigated and applied in many disciplines of science and technique. Spectral and kinetic measurements of luminescence provide much information concerning the mechanism of luminescent devices. Better…

Optics · Physics 2007-05-23 Eugeniusz Chimczak

Battery management systems may rely on mathematical models to provide higher performance than standard charging protocols. Electrochemical models allow us to capture the phenomena occurring inside a lithium-ion cell and therefore, could be…

Computational Engineering, Finance, and Science · Computer Science 2020-05-12 Andrea Pozzi , Xiangzhong Xie , Davide M Raimondo , René Schenkendorf

Electrochemical hybrid battery models have major potential to enable advanced physics-based control, diagnostic, and prognostic features for next-generation lithium-ion battery management systems. This is due to the physical significance of…

Systems and Control · Electrical Eng. & Systems 2025-05-13 Jackson Fogelquist , Xinfan Lin

Rechargeable lithium metal batteries (LMBs) with an ultrahigh theoretical energy density have attracted more and more attentions for their crucial applications of portable electronic devices, electric vehicles, and smart grids. However, the…

Materials Science · Physics 2024-10-22 Yanchen Fana , Xiang Chenb , Dominik Legut , Qianfan Zhang

Liquid metal batteries are possible candidates for large scale energy storage offering a possible breakthrough of intermittent wind and solar energy exploitations. The major concern over their practical implementation is the operation at…

Applied Physics · Physics 2018-02-20 V. Bojarevics , A. Tucs

Predictive maintenance is an effective tool for reducing maintenance costs. Its effectiveness relies heavily on the ability to predict the future state of health of the system, and for this survival models have shown to be very useful. Due…

Systems and Control · Electrical Eng. & Systems 2023-02-02 Olov Holmer , Erik Frisk , Mattias Krysander

Virtually all electronic systems try to optimize a fundamental trade-off between higher performance and lower power consumption. The latter becomes critical in mobile computing systems, such as smartphones, which rely on passive cooling.…

Systems and Control · Electrical Eng. & Systems 2020-03-26 Ganapati Bhat , Suat Gumussoy , Umit Y. Ogras

The number of electrified powertrains is ever increasing today towards a more sustainable future; thus, it is essential that unwanted failures are prevented, and a reliable operation is secured. Monitoring the internal temperatures of…

Machine Learning · Computer Science 2025-04-28 Dinan Li , Panagiotis Kakosimos

Common thermal anemometers (hot-wire, hot-film, or similar) are based on the thermal equilibrium between the electrical power heating the sensor and the convection of the ambient medium cooling the sensor. The response times of such…

Instrumentation and Detectors · Physics 2023-08-08 Holger Nobach

Temperature control is a complex task due to its often unknown dynamics and disturbances. This paper explores the use of Neural Nonlinear AutoRegressive eXogenous (NNARX) models for nonlinear system identification and model predictive…

Systems and Control · Electrical Eng. & Systems 2024-02-09 Jing Xie , Léo Simpson , Jonas Asprion , Riccardo Scattolini

In this paper, we present a general review of the status of numerical modelling applied to the design of high temperature superconductor (HTS) devices. The importance of this tool is emphasized at the beginning of the paper, followed by…

Superconductivity · Physics 2017-05-30 Frédéric Sirois , Francesco Grilli
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