A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
This library proposes an implementation for a datamodel tailored for AI and ML learning of physics problems. It has been developped at SafranTech, the research center of Safran group. Only the ...
Here are five big things that will shape education in 2026 and define whether our systems are ready for what comes next.
Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...
Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.
Abstract: Subsurface flow is the core of reservoir engineering. Research on subsurface flow problems can enhance our understanding of the development status of oilfields, thus enabling the prediction ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Abstract: Eddy-current testing technique has been extensively explored for estimating the electromagnetic property of steel plates in various industrial applications. In this article, a physics-guided ...
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