Validation of human thermo-physiology models for personalized predictions of thermal responses

Autor: Rida, Mohamad, Frijns, Arjan J.H., Khovalyg, Dolaana, Schweiker, Marcel

Publikováno v: Healthy Buildings 2023 Europe: Beyond disciplinary boundaries
Healthy Buildings 2023 Europe

Current thermal comfort models used in practice do not consider physiological and psychological differences of people. With this respect, human thermo-physiology models (HTPM) are useful tools to assess human thermal comfort at local and overall leve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::c2030dd48408b28a8ce3ef98daca2e45
https://research.tue.nl/nl/publications/e196856e-c1e3-4ba3-8a7f-672bf80558d3

Derivation of a scattering model for rarefied gas-solid surface by an unsupervised machine learning approach

Autor: Mohammad Nejad, S., Nedea, S.V., Frijns, Arjan J.H., Colin, Stéphane, Frijns, Arjan, Valougeorgis, Dimitris

Publikováno v: Proceedings of the 4th European Conference on Non-Equilibrium Gas Flows, 107-111
STARTPAGE=107;ENDPAGE=111;TITLE=Proceedings of the 4th European Conference on Non-Equilibrium Gas Flows

Benchmarked by MD results, the performance of the GM-driven scattering model is evaluated and compared with the CLL scattering model in a combined Fourier-Couette flow problem. For the Ar-Au system, the correlation plots based on both scattering kern

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::67325b7e361164c4db1da876235c4573
https://research.tue.nl/nl/publications/66c10042-d289-4ec6-ace4-b9d5e352afda

A Gas-Surface Interaction Model for Diatomic Rarefied Gas Flows Based on an Unsupervised Machine Learning Technique

Autor: Mohammad Nejad, Shahin, Iype, E., Peters, Frank A., Vollebregt, A.L.B., Gaastra-Nedea, Silvia V., Frijns, Arjan J.H., Myong, Rho Shin, Bruno, Domenico, Xu, Kun, Wu, Jong-Shinn

Publikováno v: Pre-RGD32 Online Workshop on Recent Hot Topics in Rarefied Gas Dynamics

In this work, the Gaussian Mixture (GM) model, which is an unsupervised machine learning technique, is utilized to construct a statistical gas-solid surface scattering model based on the collisional data obtained from Molecular Dynamics (MD) simulati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::ec75ac99ae69bee895bc6c967fc6c1eb
https://research.tue.nl/nl/publications/80a1a1d8-9f7e-471b-9c4a-3d47e113684b

Modeling thermochemical reactions in thermal energy storage systems

Autor: Frijns, Arjan J.H., Rindt, Camilo C.M., Gaastra-Nedea, Silvia V., Cabeza, Luisa F.

Publikováno v: Advances in Thermal Energy Storage Systems ISBN: 9780128198858
Advances in Thermal Energy Storage Systems: Methods and Applications, 497-542
STARTPAGE=497;ENDPAGE=542;TITLE=Advances in Thermal Energy Storage Systems

In this chapter on simulation techniques for thermochemical reactions in thermal energy storage systems the focus is mainly on molecular modeling techniques for the hydration and dehydration (sorption and desorption) processes occurring in salt hydra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3bf05fd0f206a809fdb2cd43bbaacf3
https://doi.org/10.1016/b978-0-12-819885-8.00017-6

Experimental Validation of a Four Components Mixture Theory for Swelling Porous Media

Autor: Frijns, Arjan J.H., Huyghe, Jacques M., Janssen, Jan D., Simon, B.

Publikováno v: 1997 Advances in bioengineering : presented at the 1997 ASME international mechanical engineering conference and exhibition, November 16-21, 1997, Dallas, Texas, 1-2
STARTPAGE=1;ENDPAGE=2;TITLE=1997 Advances in bioengineering : presented at the 1997 ASME international mechanical engineering conference and exhibition, November 16-21, 1997, Dallas, Texas

Biological tissues exhibit swelling or shrinking behaviour. This behaviour is caused by water binding. Biological tissues are able to bind water because of the fixed charges of the solid skeleton. These electrical charges are responsible for a variet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73c1e171f8dfd483858d87d527d90dac
https://doi.org/10.1115/imece1997-0198