C&EN

Cleaning Our World through Green Chemistry: Introducing High School Students to the Principles of Green Chemistry Using a Case-Based Learning Module

Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts. Export articles to Mendeley Get article recommendations from ACS based on references in your ...
GitHub

GPT - Grid Python Toolkit

GPT is a Python measurement toolkit built on Grid data parallelism (MPI, OpenMP, SIMD, and SIMT). It provides a physics library for lattice QCD and related theories, a QIS module including a digital ...
IEEE

Machine-Learning-Based Condition Monitoring of Power Electronics Modules in Modern Electric Drives

Abstract: Integrating machine-learning (ML) models responsible for predicting the evolution of those directly collected or implicitly derived parameters enhances the smartness of industrial systems ...
C&EN

Fe–Al–Si Thermoelectric (FAST) Materials and Modules: Diffusion Couple and Machine-Learning-Assisted Materials Development

State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, P. R. China Article Views are the COUNTER-compliant ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

Native Python bindings for btrfs — create filesystems, manage subvolumes and snapshots, mount and unmount. No shell commands, no subprocess, no runtime dependencies beyond libc.

Why not the existing btrfs package? The btrfs package on PyPI requires libbtrfsutil installed as a system library. That means distro packages, broken virtualenvs, and ...
IEEE

A Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites

Efficient monitoring and fault detection are required to maintain high performance and avoid economic loss throughout the lifetime of a photovoltaic (PV) power plant. This has led to a need for ...