Library for efficient training and application of Machine Learning Interatomic Potentials (MLIP) - instadeepai/mlip ...

The Python package PhaseFieldX, developed by researcher Miguel Castillón at IMDEA Materials Institute, has been published in the Journal of Open Source Software (JOSS) in a paper titled "PhaseFieldX: ...

Discover how real-time monitoring and AI improve alloy heat treatment by optimizing phase transformations, reducing waste, and enhancing manufacturing.

A non-linearly spaced phase quantization utilizing the k-means clustering method has been presented in this paper. Phase quantization is usually performed to limit the number of unique unit cells ...

We designed a high school chemistry experiment conducted with a lab-on-paper for preservice chemistry teachers. The experiment is based on the chromogenic reactions occurring on micro paper zones.

It is a repository for basic machine learning programs using python, anaconda, conda environments and jupyter. - Pull requests · BSSE23001/programs-machine-learning-python ...

Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning ...

Microplastics (MPs) have emerged as a critical environmental pollutant, causing composite pollution through their widespread production, usage, and disposal, as well as their capacity to carry other ...