Results 91 to 100 of about 38,989 (313)
Advanced Intelligent Discovery, EarlyView.The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
A Gaussian process regression (GPR) quest to predict HOMO-LUMO energy
, 2023 Machine learning methods employ statistical algorithms and pattern recognition techniques to learn patterns and make predictions based on statistical patterns.
MANJEET, BHATIA
core +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Axial Capacity Estimation of FRP-strengthened Corroded Concrete Columns [PDF]
Journal of Soft Computing in Civil EngineeringThis research presents a machine learning (ML) based model to estimate the axial strength of corroded RC columns reinforced with fiber-reinforced polymer (FRP) composites.
Chandan Gupta +5 more
doaj +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
Recognizing Fault Structures and Studying the Evolution of Karst Sources Using Ground Penetrating Radar (Case Study: Kermanshah Province) [PDF]
جغرافیا و پایداری محیط, 2012 In karst regions, the main goal of geophysical method is to study carbonate stone, which are not directly visible. By geophysical method, it is possible to gain some valuable information about amount of stone and describe horizons containing ...
Amjad Maleki , Mohsen Ovaisy
doaj
GPR investigation at two sites of archaeological interest in Vadnagar, India
, 2016 This study presents the findings of a GPR investigation at two archaeological sites in Vadnagar, India; Area 1: Gaon Tal near a Hindu Temple (23°47'19.57″N; 72°38'47.75″E) and Area 2: Baba No Tekdo locality II (23°47'30.53″N; 72°38'55.59″E).
A. Prashant +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Integration of the GPR and radio-impedance techniques in studies of the Baikal rift zone
Геодинамика и тектонофизика, 2019 Radiowave propagation techniqueshave been very rarely applied to investigate tectonic fault zones and geoelectric profilesof the Baikal rift zone. In our study, we used a combination ofground-penetrating radar (GPR) and radioimpedance techniquesin order ...
Yu. B. Bashkuev +2 more
doaj +1 more source
GPRS Security for Smart Meters [PDF]
, 2013 Many Smart Grid installations rely on General Packet Radio Service (GPRS) for wireless communication in Advanced Metering Infrastructures (AMI). In this paper we describe security functions available in GPRS, explaining authentication and encryption options, and evaluate how suitable it is for use in a Smart Grid environment.
Martin Gilje Jaatun +2 more
openaire +2 more sources