Results 211 to 220 of about 182,286 (344)
Dynamic pricing scheme for energy balancing in microgrid using an intelligent system. [PDF]
Balakumar I, Vaithilingam C.
europepmc +1 more source
An intentionally added, chemically formed LixAlSy coating stabilizes the lithium–electrolyte interface in solid‐state Li–S batteries. The layer suppresses side reactions, preserves smooth charge transfer, and improves ion transport from the start. This approach offers a practical route to more durable solid‐state batteries and a clearer understanding ...
Xinyi Wang +4 more
wiley +1 more source
Declining costs make solar plus storage economical for industrial captive power. [PDF]
Chojkiewicz E +3 more
europepmc +1 more source
Aqueous directional ice templating (DIT) is developed for making NMC811 cathodes containing vertically aligned pore arrays through electrode thickness. The effects of calendering are studied for the DIT electrodes to find optimal calendering and simultaneously achieve high gravimetric and volumetric energy densities and rate capability for lithium ion ...
Guanting Li +3 more
wiley +1 more source
Techno-economic evaluation of a smart power management system based on wind turbine hybrid model using Homer tool: a case study. [PDF]
Sapkota K +4 more
europepmc +1 more source
A superior double‐cladding optical fiber temperature sensor (OFTS) is fabricated by utilizing a bright and stable near‐pure green UC phosphor NaLu(WO4)2:Er3+/Yb3+ as sensing material. The OFTS exhibits a high temperature measurement accuracy of 0.155°C at 303 K, excellent measuring repeatability and chemical stability, along with strong resistance to ...
Jing Lyu +4 more
wiley +1 more source
Soft Electromagnetic Actuator and Oscillator
This work presents a groundbreaking soft electromagnetic system capable of bistable actuation and self‐regulated oscillation. Using liquid metal and silicone as a compliant conductor, the actuator enables force generation, sensing, and feedback with minimal power.
Noah D. Kohls, Yi Chen Mazumdar
wiley +1 more source
Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]
Hamedani MMK +3 more
europepmc +1 more source

