Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀 ...

This paper addresses a challenging and novel problem in 2D shape cloud visualization: arranging irregular 2D shapes on an irregular canvas to minimize gaps and overlaps while emphasizing critical ...

Nanopores are ubiquitous across disciplines, ranging from bioscience to energy science. Enhancing their transport properties and energy storage capability is crucial to improving functionality.

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 ...

Metasurfaces are formed by engineering a glass surface with an array of microscopic features, or meta-atoms. Although different optical functionalities can be obtained by changing only the pattern ...

Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these ...

Abstract In this paper, we use Physics-Informed Neural Networks (PINNs) to solve shape optimization problems. These problems are based on incompressible Navier-Stokes equations and phase-field ...

A setup for solving shape optimization problems depending on a partial differential equation using boundary integral methods and the Python library JAX. The code was developed as part of a Bachelor ...