Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

NuML Studio is optimized for Windows and provides a "ready-to-use" version that does not require users to install Python or ...

Companion implementation for the paper Random Permutation Set-Based Diagnosis for Reliable Large-Scale Distributed Optimization Under Soft Faults. The code closes the loop "diagnosis -> soft ...

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

Comprehensive computational framework for REBCO HTS coils and plasma physics applications. Features validated 7.07T superconducting magnet designs, Lentz soliton simulation with interferometric ...

Texas A&M Energy Institute, Texas A&M University, College Station, Texas 77843, United States Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, ...

In the evolving data landscape of 2025, data analysts must be equipped with tools that allow them to extract, transform, analyze, and communicate insights effectively. Four essential tools that form ...

Most of the novel energy materials contain multiple elements occupying a single site in their lattice. The exceedingly large configurational space of these materials imposes challenges in determining ...

The C language has been a programming staple for decades. Here’s how it stacks up against C++, Java, C#, Go, Rust, Python, and the newest kid on the block—Carbon. The C programming language has been ...

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...