Results 241 to 250 of about 4,026,358 (295)
Unlocking thermomagnetic low‐grade waste heat recovery. This perspective provides a comprehensive roadmap for the development of thermomagnetic materials and systems. By addressing key engineering challenges across multiple scales, it bridges the gap between micro‐power IoT devices and large‐scale industrial applications. ABSTRACT Nearly half of global
A. Waske +13 more
wiley +1 more source
A visual perception-guided framework for camera path planning in large-scale digital twin and AI-generated 3D scenes. [PDF]
Zhang Y, Chen W, Yang G.
europepmc +1 more source
Solution‐based ligand‐assisted epitaxial growth (LAEG) yields high‐quality CsPbBr3 microcrystals on different substrates with superior morphology, passivated surfaces, and high photoluminescence quantum yield. These robust micro‐resonators achieve record‐low room‐temperature lasing thresholds of 7.2 kW·cm−2 and maintain operational stability up to 90 ...
Shuyu Zhou +19 more
wiley +1 more source
Navigating grief and healthcare: Mixed-methods study on patient experiences of miscarriage during COVID-19. [PDF]
Fernandez-Pineda M +5 more
europepmc +1 more source
Conversion‐induced sulfur expansion generates strong mechanical constraints and localized stresses within solid‐state Li‐S cathodes. Heterogeneous solid‐electrolyte confinement creates tensile strain‐energy hotspots that govern particle cracking. Larger sulfur particles accelerate fracture, while higher porosity relaxes constraint and delays damage ...
Arpan K. Sharma +3 more
wiley +1 more source
Embedded dyads: How the personal network relates to linguistic accommodation. [PDF]
Fernandez GP, Widmer ED, Dodsworth R.
europepmc +1 more source
A robust binary secretary bird optimization method for high-dimensional data classification. [PDF]
Kamal R +3 more
europepmc +1 more source
A Tri-Direction Guided Moss Growth Optimizer with Adaptive Differential Evolution for Engineering Design Problems. [PDF]
Pang C, Wang Y, Cheng W.
europepmc +1 more source
Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning. [PDF]
Khaniki MAL, Mirzaee M, Moradi E.
europepmc +1 more source

