Results 101 to 110 of about 8,820 (215)
Heat Load Mitigation Studies in the W7‐X Stellarator Experiment
ABSTRACT During the experiments at the stellarator Wendelstein 7‐X (W7‐X) with fully water‐cooled plasma‐facing components (PFC), including carbon‐fiber composite (CFC) divertor targets with a thermal load capability of 10 MW/m2, high performance was achieved.
Dirk Naujoks +11 more
wiley +1 more source
N‐SDM 2.0: a reengineered software with extended features for nested species distribution modelling
Species distribution models (SDMs) are central tools for predicting and forecasting how species respond to environmental changes, yet their reliability depends on accurately capturing ecological processes across spatial scales while accounting for uneven data availability and resolution.
Antoine Adde +3 more
wiley +1 more source
Universal Latent Representation in Finite Ring Continuum. [PDF]
Akhtman Y.
europepmc +1 more source
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +3 more
wiley +1 more source
Profilometric Quantification of Wear-Track Degradation in FFF Kevlar-Reinforced ASA Composites. [PDF]
Brăileanu PI, Mocanu MT, Pascu NE.
europepmc +1 more source
Laser‐Textured Field‐Engineered Interface for Robust Dry‐Processed Cathodes in Lithium‐Ion Batteries
Laser‐patterned dry electrodes applied to current collectors could serve as a promising alternative to the limitations of conventional dry electrodes. Laser technology provides a fast and simple method to enhance the surface roughness of current collectors, improving the adhesion at the electrode–current collector interface.
Chaerin Jung +8 more
wiley +1 more source
Newly Proposed Method With Noise-Reduction and Smoothing for Computational Fluid Dynamics Using Low-Resolution Medical Images. [PDF]
Yanagita Y +7 more
europepmc +1 more source
This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
Platonic representation of foundation machine learning interatomic potentials. [PDF]
Li Z, Walsh A.
europepmc +1 more source
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

