Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

More than a year ago, computational scientists at the Department of Energy's Oak Ridge National Laboratory published a study ...

Water is the most prevalent component of biomolecular simulations - from protein ensembles to nucleic acids - and ...

In the paper, author considers a new method for constructing the quasi-equilibrium thermodynamics of a system of ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Statistical physics articles from across Nature Portfolio Statistical physics is a branch of physics that uses probability theory and statistics to solve physical problems that usually involve ...

Criterion (iv): An ensemble of sites along the southern part of the Camino Real de Tierra Adentro, including examples of buildings, architectural and technological ensembles, illustrate a significant ...

Book Abstract: This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important ...

SVMnet: Non-Parametric Image Classification Based on Convolutional Ensembles of Support Vector Machines for Small Training Sets ...