Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
Can machine learning automatically detect important changes in a material’s Fermi surface from complex and noisy data?
The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...
Owing to synergistic interactions among their components, multi-principal element alloys manifest remarkable physicochemical properties that render them highly promising candidates for hydrogen ...
Abstract: Despite the constant growth in computational capabilities of modern intelligent data analysis systems, the volume of information being processed grows exponentially and, in some cases, ...
Abstract: Principal Components Analysis (PCA) is a popular dimensionality reduction and feature selection technique. It works by swiping non-informative features while retaining those that are still ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...
Introduction Recent advancements in diagnosing tropical fevers increasingly use artificial intelligence (AI). These innovations focus on diagnosing single or multiple diseases, significantly reducing ...
The disease burden of acute myeloid leukemia (AML) continues to pose a significant public health challenge globally. Mitochondria play a critical role in tumor development and progression by ...
Air pollution may crosstalk with immune system to promote hepatocellular carcinoma (HCC) development, but its precise mechanisms and prognostic significance remain unclear. This study aims to ...
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