In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of ...

A team of researchers from Ca' Foscari University of Venice and the Universidad Autónoma de Madrid has developed a ...

AI-designed materials cool better than paint and save energy. Their uses span homes, clothes, and space tech. A new class of ...

UT researchers helped develop new materials that emit heat more effectively and could save thousands of kilowatts of electricity per year, according to a news release from the Cockrell School of ...

With the popularity of electric vehicles, the demand for lithium-ion batteries is increasing. Temperature significantly influences batteries' performance and safety. Battery thermal management systems ...

However, these works are generally based on a steady power map, which in reality is mostly time-dependent. In this paper, a machine learning (ML)-based control method, combining the Bayesian ...

Researchers have used AI and machine learning to create 3D thermal meta-emitters that enhance energy efficiency.

Marine dissolved organic matter (DOM) is an extremely complex mixture of organic compounds that plays a crucial role in the global carbon cycle. In the Arctic, climate change accelerates the release ...

This study explores the use of machine learning (ML) techniques to predict Fourier-transform infrared (FTIR) intensities of products from the thermal cracking of Athabasca bitumen, aiming to develop a ...

Python Thermal Camera Library. Contribute to wykys/IR-Py-Thermal development by creating an account on GitHub.