Results 131 to 140 of about 11,303,291 (302)
, 1982 Newton's method plays a central role in the development of numerical techniques for optimization. In fact, most of the current practical methods for optimization can be viewed as variations on Newton's method.
More, J. J., Sorensen, D. C.
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Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
A Weighted and Distributed Algorithm for Range-Based Multi-Hop Localization Using a Newton Method. [PDF]
Sensors (Basel), 2021 Diaz-Roman J +4 more
europepmc +1 more source
Diary of W.S. Newton. Capt. Rowe (Temp). Part III commencing 4 May 1916
, 2016 This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.
Stephen Family, Newton Family
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Trump Tariffs 2.0: Assessing the Impacts on US Distilled Spirits Imports
Agribusiness, EarlyView.ABSTRACT The proposed 25% tariff on Mexico and Canada could have significant repercussions on US imports of distilled spirits. This study estimates US import demand across various spirit categories (e.g., tequila, whiskey) and assesses the potential impact of the proposed tariff.
Andrew Muhammad
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Quasi-Newton preconditioners for the inexact Newton method
, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BERGAMASCHI, LUCA +3 more
openaire +3 more sources
, 2009 Preface: Newton, C.T.Appendix.Introduction: Newton, C.T.Dedication:Content description: Detailed contentsPagination: PP16+360P, PP14+275PVolumes: 2Text Genre ...
Traveller-Newton, Charles Thomas-Newton (Sir) Charles +5 more
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Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation
Advanced Intelligent Discovery, EarlyView.Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei +9 more
wiley +1 more source