Results 141 to 150 of about 149,904 (230)

Electronic Structure Modulation in Dopant‐Controlled Single‐Atom Graphene Catalysts for Efficient Hydrogen Evolution: A Machine Learning and First‐Principles Study

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
First‐principles DFT calculations and machine learning analysis show that heteroatom doping of graphene (G) significantly enhances the stabilization of transition‐metal single atoms by strengthening metal–support interactions and increasing charge transfer. N‐doped G exhibits higher adsorption energies, lower d‐band centers, and shorter TM–G bonds than
Sajjad Ali   +3 more
wiley   +1 more source

Influence of the Boundary Conditions on the Seismic Response of Existing Masonry Infills From In‐Plane and Dynamic Out‐of‐Plane Tests

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite increasing attention to the seismic performance of masonry infills, their out‐of‐plane dynamic behaviour remains insufficiently explored, particularly under pre‐existing in‐plane damage. This study presents a comprehensive experimental campaign designed to investigate the seismic behaviour of an existing weak masonry infill typology ...
Maithree Kurukulasuriya   +3 more
wiley   +1 more source

Phenotypic associations between young horse assessments and orthopaedic diagnoses in insured Swedish Warmblood horses

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Lameness is the most common health problem in riding horses, and insurance data have previously been used to investigate the prevalence of orthopaedic diagnoses in Swedish Warmblood (SWB) horses. Young horse performance testing is an important part of the SWB breeding programme and contributes data to the genetic evaluation ...
Sandra Bonow   +4 more
wiley   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

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