Results 161 to 170 of about 14,634 (264)
Vibrational Exfoliation of 2D Materials
Vibrational energy folds, fractures and exfoliates atomically and molecularly thin materials. Combining experimentation and computational methods, this unique vibrational synthesis pathway is revealed. This process overcomes barriers of existing approaches by processing 1000 g/L dispersions without loss in yield.
Aadam Rabani +5 more
wiley +1 more source
Turbulence-induced fluctuating interfaces in heterogeneously active suspensions. [PDF]
Mukherjee S, Kumar K, Ray SS.
europepmc +1 more source
Biocarbon injection is investigated as a promising pathway for sustainable electric arc furnace steelmaking using a combined experimental–numerical approach. Results demonstrate that biocarbon can effectively penetrate slag and generate intense foaming within a defined operating window.
Christopher DiGiovanni +6 more
wiley +1 more source
Soft actor-critic energy management in three-phase unbalanced microgrids with lagrangian penalty constraints. [PDF]
Cortés P +3 more
europepmc +1 more source
ABSTRACT Effectively detecting the operational fatigue of miners can identify safety risks in mines. As the executors of auxiliary transportation in mines, the operational fatigue status of mining truck drivers deserves particular attention and detection.
Ying Chen +4 more
wiley +1 more source
Intrinsic Quantization of Linear Hamiltonian Systems. [PDF]
Accardi L, Pandiscia C.
europepmc +1 more source
A multiscale CFD framework reveals that two‐phase effects fundamentally alter hazardous gas dispersion in urban street canyons. Droplet evaporation, vortex‐driven transport, and ventilation jointly control hazard evolution, with wind speed dominating dispersion while temperature plays a secondary role.
Jialin Li +3 more
wiley +1 more source
A Novel Decomposition-Based Growth Model for Simulating Stress-Modulated Spinal Growth. [PDF]
Çakmak SO, Gürses E.
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
The era of precision cosmology with voids. [PDF]
Contarini S, Verza G, Pisani A.
europepmc +1 more source

