The CALPHAD (CALculation of PHAse Diagram) approach provides predictions for thermodynamically stable phases in multicomponent-multiphase materials across a wide range of temperatures. Consequently, ...

The lmfit Python library provides tools for non-linear least-squares minimization and curve fitting. The goal is to make these optimization algorithms more flexible, more comprehensible, and easier to ...

The rising demand for electricity presents significant challenges to grid stability. Demand response programs address this issue by incentivizing consumers to adjust consumption during peak periods.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

In today’s evolving business landscape, sustainability is no longer optional, it is a necessity. Organizations are under increasing pressure to align procurement practices with environmental, economic ...

ReHLine-Python is the official Python implementation of ReHLine, a powerful solver for large-scale empirical risk minimization (ERM) problems with convex piecewise linear-quadratic (PLQ) loss ...

This study aims to examine the influence of the co-doped semiconductor nanostructure (Al-Cu):ZnO on the electro-optical properties of the E7 coded pure nematic liquid crystal structures and minimize ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The discovery of new materials in unexplored chemical spaces necessitates quick and ...

Metabolism relies on a small class of molecules (coenzymes) that serve as universal donors and acceptors of key chemical groups and electrons. Although metabolic networks crucially depend on ...