Results 141 to 150 of about 457 (208)
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Coordinated engineering of the anode, electrolyte, and interface underpins the rational design of next‐generation solid‐state metal‐sulfur batteries. Solid‐state metal‐sulfur batteries are emerging as a transformative energy storage platform with the potential to overcome the fundamental limitations of conventional flooded cells, particularly ...
Ziyu Feng +4 more
wiley +1 more source
k-Clique counting on large scale-graphs: a survey. [PDF]
PeerJ Comput SciÇalmaz B, Ergenç Bostanoğlu B.
europepmc +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan +3 more
wiley +1 more source
A QSPR study of coronary artery disease drugs using eccentricity-based indices. [PDF]
Sci RepIqbal N +5 more
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia Open, EarlyView.Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Transcriptional signatures of cortical morphometric variability in temporal lobe epilepsy
Epilepsia Open, EarlyView.Abstract Objective Widespread cognitive deficits in temporal lobe epilepsy (TLE) are associated with macroscale brain structural changes. However, the correlation between the changes in the cortical morphological similarity of the TLE and gene expression remains unclear.
Yaping Dong +5 more
wiley +1 more source
Machine-Learning-Driven Stochastic Modeling Method for 3D Asphalt Mixture Reconstruction from 2D Images. [PDF]
Materials (Basel)Zhang J, Huang L.
europepmc +1 more source
Energy Science &Engineering, EarlyView.This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
High-Fugacity Expansion and Crystallization in Non-sliding Hard-Core Lattice Particle Models Without a Tiling Constraint. [PDF]
J Stat PhysHe Q, Jauslin I.
europepmc +1 more source