Thermal Transport for Sustainability
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 1575
Special Issue Editor
Interests: thermal transport
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to encourage authors to share their new advances in thermal transport that could contribute to sustainability, from physics, materials science, electronics, and machine learning perspectives. Many studies have been carried out highlighting the importance of thermal management to improve heat dissipation, increasing the efficiency of processes and reducing their energy consumption. In this sense, new techniques based on artificial intelligence have been used successfully to obtain material properties and reduce the computation time of complex variables. To study thermal transport, the Fourier law has been widely used, which works for steady-state situations and in bulk samples. When the sample size is reduced to the micro or nano scale, with complex geometries or grating, and/or when the heating conditions are performed at high-frequency time scales, the Fourier law cannot be longer applied. The heat is not transferred in a diffusive manner, but other transport regimes such as ballistics [Phys. Rev. B 90, 014306 (2014)], quasi-ballistics [Phys. Rev. B 102, 144305 (2020)] or hydrodynamics [Nature Comm. Volume 9: 255 (2018), Phys. Rev. Materials 2, 076001 (2018)] may appear. In this Special Issue, we seek relevant contributions in these beyond-Fourier transport regimes from a fundamental point of view. Works dealing with first principle calculations, finite element modelling and machine-learning techniques are welcome.
Dr. Pol Torres
Guest Editor
Manuscript Submission Information
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Keywords
- themal transport
- themal conductivity
- first principles
- machine learning
- artificial intelligence
