Neutrinos are extremely lightweight and electrically neutral particles that rarely interact with ordinary matter. Due to ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
A new technical paper titled “An efficient device model for ferroelectric thin-film transistors” was published by researchers at University of Florida.
Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The ...
Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...
Researchers at Rice University and Oak Ridge National Laboratory have unveiled a physics-based model of magnetic resonance relaxation that bridges molecular-scale dynamics with macroscopic magnetic ...
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