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 ...

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

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 ...

To achieve continuous quality improvement “it is not enough to do your best …” Continuous improvement in health care and elsewhere is not a contentious issue—but the means by which this may be ...