Articles with "physics based" as a keyword



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A methodology for reduced order modeling and calibration of the upper atmosphere

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Published in 2017 at "Social Work"

DOI: 10.1002/2017sw001642

Abstract: Atmospheric drag is the largest source of uncertainty in accurately predicting the orbit of satellites in low Earth orbit (LEO). Accurately predicting drag for objects that traverse LEO is critical to Space Situational Awareness. Atmospheric… read more here.

Keywords: reduced order; methodology; physics based; physics ... See more keywords

Physics‐Based Design of Efficient Metasurface Temperature‐Adaptive Radiative Coatings

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Published in 2025 at "Advanced Optical Materials"

DOI: 10.1002/adom.202402491

Abstract: This work introduces a physics‐based model and detailed examination of how efficient VO2‐based, metasurface thermally‐adaptive radiative coatings (TARCs) can be designed through careful selection of the dielectric spacer material and thickness as well as tailoring… read more here.

Keywords: physics based; adaptive radiative; radiative coatings; contrast ... See more keywords

Physics‐Based Inverse Modeling of Battery Degradation with Bayesian Methods

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Published in 2024 at "Chemsuschem"

DOI: 10.1002/cssc.202402336

Abstract: To further improve lithium‐ion batteries, a profound understanding of complex battery processes is crucial. Physical models offer understanding but are difficult to validate and parameterize. Therefore, automated machine‐learning methods are necessary to evaluate models with… read more here.

Keywords: battery; physics based; degradation; bayesian methods ... See more keywords

Do electrostatic interactions make a difference in physics‐based AutoDock4 scoring function?

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Published in 2024 at "Journal of Computational Chemistry"

DOI: 10.1002/jcc.27373

Abstract: Physics‐based scoring function AutoDock4 is one of the most successfully applied tools in the area of structure‐based drug design. However, current scoring functions are still far from being perfect. In a recent work highlighting the… read more here.

Keywords: physics based; scoring function; electrostatic interactions; interactions make ... See more keywords

Power Spectra of Physics‐Based and Data‐Driven Ensembles

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Published in 2025 at "Meteorological Applications"

DOI: 10.1002/met.70071

Abstract: Power spectra are evaluated for a range of ensemble systems run at the European Centre for Medium‐Range Weather Forecasts (ECMWF). These spectra allow us to chart and compare the spatial–temporal evolution of ensemble spread and… read more here.

Keywords: physics based; power spectra; data driven; error ... See more keywords

Physics‐based iterative scheme for computing antenna array embedded element patterns

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Published in 2023 at "Microwave and Optical Technology Letters"

DOI: 10.1002/mop.33696

Abstract: Rigorously accounting for mutual coupling effects in antenna array synthesis, generally requires that embedded element patterns (EEPs) be determined. The method of moments (MoM) is typically used. Multiple linear system solutions are required, corresponding to… read more here.

Keywords: physics; physics based; embedded element; element ... See more keywords

Using physics-based pose predictions and free energy perturbation calculations to predict binding poses and relative binding affinities for FXR ligands in the D3R Grand Challenge 2

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Published in 2017 at "Journal of Computer-Aided Molecular Design"

DOI: 10.1007/s10822-017-0075-9

Abstract: Computer-aided drug design has become an integral part of drug discovery and development in the pharmaceutical and biotechnology industry, and is nowadays extensively used in the lead identification and lead optimization phases. The drug design… read more here.

Keywords: binding affinities; challenge; relative binding; physics based ... See more keywords

Physics-based Gaussian process for the health monitoring for a rolling bearing

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Published in 2019 at "Acta Astronautica"

DOI: 10.1016/j.actaastro.2018.10.029

Abstract: Abstract An improved Gaussian process regression (GPR) is presented to predict the remaining useful life (RUL) of a gyroscope being integral to its prognostics and health management, despite uncertainties in the mean and variance values.… read more here.

Keywords: health; physics; gyroscope; physics based ... See more keywords
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Fluid sensing using microcantilevers: From physics-based modeling to deep learning

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Published in 2020 at "Applied Mathematical Modelling"

DOI: 10.1016/j.apm.2020.06.051

Abstract: Abstract In-situ measurements of the viscosity and density of small volumes of liquids are required in several industrial applications. MEMS sensors deploying vibrating microstructures constitute an attractive alternative given the significant impact of the surrounding… read more here.

Keywords: microcantilevers physics; deep learning; physics based; physics ... See more keywords

Aerosol optical depth retrieval over land from OCEANSAT-2/ OCM- 2 data – A simple physics based approach

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Published in 2022 at "Atmospheric Pollution Research"

DOI: 10.1016/j.apr.2022.101339

Abstract: The decoupling of aerosol signals from the at-sensor reflectance measured through a space-borne sensor is a complex task due to the involved coupling mechanism of the interaction of light with the Earth's surface and the… read more here.

Keywords: physics based; aerosol optical; based approach; physics ... See more keywords

Implementation of reduced-order physics-based model and multi parameters identification strategy for lithium-ion battery

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Published in 2017 at "Energy"

DOI: 10.1016/j.energy.2017.07.069

Abstract: Physics-based models for lithium-ion battery have been regarded as a promising alternative to equivalent circuit models due to their ability to describe internal electrochemical states of battery. However, the huge computational burden and numerous parameters… read more here.

Keywords: physics based; physics; model; battery ... See more keywords