For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.

Abstract: Electromagnetic computational imaging (ECI) offers a promising solution to electromagnetic inverse scattering problems (ISPs). Whereas it is challenged by its ill-posed nature and ...

Abstract: The complex nonlinear nature of friction in real-world applications renders traditional physical models inadequate for accurately capturing its characteristics. While numerous learning-based ...