Diffusion driven by temperature or concentration gradients is a fundamental mechanism of
energy and mass transport that inherently differs from wave propagation in both physical …

Artificial Intelligence (AI) has advanced material research that were previously intractable,
for example, the machine learning (ML) has been able to predict some unprecedented …

Machine learning (ML) is a field of computer science that uses algorithms and techniques for
automating solutions to complex problems that are hard to program using conventional …

Deep neural networks (DNNs) are empirically derived systems that have transformed
traditional research methods, and are driving scientific discovery. Artificial electromagnetic …

Wavelength-selective thermal emitters (WS-TEs) have been frequently designed to achieve
desired target emissivity spectra, as a typical emissivity engineering, for broad applications …

Thermal radiation in the mid‐infrared region profoundly affects human lives in various fields,
including thermal management, imaging, sensing, camouflage, and thermography. Due to …

Violating Kirchhoff's radiation law through magneto-optical materials or spatiotemporal
(Floquet) metamaterials can open a new door for engineering thermal radiation by breaking …

Artificial intelligence, an emerging technology, widely exists in the field of engineering
science and technology. Due to its high efficiency and precision, artificial intelligence is …

Thermal transport is a fundamental mechanism of energy transfer process quite distinct from
wave propagation phenomena. It can be manipulated well beyond the possibilities offered …

The burning of fossil fuels in industry results in significant carbon emissions, and the heat
generated is often not fully utilized. For high-temperature industries, thermophotovoltaics …