AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based ...

Over the past few years, engineers and material scientists have been trying to devise new optical systems in which light particles (i.e., photons) can move freely and in useful ways, irrespective of ...

Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based on machine learning ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Abstract: This article considers the PTP tracking control problem for a class of unknown nonlinear discrete-time systems with output saturation. A novel data-driven FILC algorithm is proposed to ...

This repository is an implementation of the NeurIPS 2024 paper: IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs. Constrained Nonlinear Programs (NLPs) represent a ...

Abstract: In this paper, a non-iterative sensitivity-based zsolve the distribution network reconfiguration (DNR) problem and ensure the security of the switch operation process, while maintaining the ...

Notifications You must be signed in to change notification settings Welcome! This repository contains a curated collection of data science projects that demonstrate the complete lifecycle of solving ...