Science Daily

Machine learning predicts nanoparticles' structure and dynamics

Researchers have demonstrated that new distance-based machine learning methods are capable of predicting structures and atomic dynamics of nanoparticles reliably. The new methods are significantly ...
C&EN

Integrated Machine Learning and Structure-Based Virtual Screening Identify Osimertinib as a ...

Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macau 999078, China ...
IEEE

PCR-Tree: A Compression-Based Index Structure for Similarity Searching in High-Dimensional ...

Abstract: The vector approximation file (VA-file) approach is an efficient high-dimensional indexing method using compression technique to overcome the difficulty of 'curse of dimensionality'. The ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
IEEE

Machine Learning Based Model Predictive Control with Piecewise-Affine Approximation ...

Abstract: This paper introduces a machine learning (ML) based model predictive control (MPC) with piecewise-affine approximation (PWA) structure for maximizing wind energy capture for an individual ...