Results 171 to 180 of about 155,284 (320)
Allodynia in Cervical Polyradiculopathy Due to Low-voltage Electrical Burn Injury: A Case Report
Marian Michelle M. Marquez+3 more
openalex +2 more sources
Advancing gas‐phase electrolysis toward industrial‐scale applications requires not only the development of advanced electrocatalysts but also the design of the electrodes to optimize gas‐electrode‐electrolyte interfaces and facilitate efficient mass transport, thereby reinforcing gas win the electrons to promote reaction kinetics and suppress side ...
Guoliang Chen+8 more
wiley +1 more source
Assessment of risk due to the use of carbon fiber composites in commercial and general aviation [PDF]
The development of a national risk profile for the total annual aircraft losses due to carbon fiber composite (CFC) usage through 1993 is discussed. The profile was developed using separate simulation methods for commercial and general aviation aircraft.
Fiksel, J., Kalelkar, A., Rosenfield, D.
core +1 more source
The highest experimentally determined focusing efficiency is reported here by using the direct imprinting of all‐inorganic TiO2 metalens arrays. Absolute efficiency greater than 80% and relative efficiency greater than 90% are achieved by optimization of all fabrication parameters controllable in the additive manufacturing process.
Dae Eon Jung+7 more
wiley +1 more source
The assessment of the carbon fiber hazard is outlined. Program objectives, requirements of the risk analysis, and elements associated with the physical phenomena of the accidental release are ...
Huston, R. J.
core +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi+4 more
wiley +1 more source
Multitarget Generate Electrolyte Additive for Lithium Metal Batteries
This study presents a deep learning‐assisted generative model for electrolyte additives in lithium metal batteries (LMBs). The approach overcomes data scarcity by proposing the molecular categorization method and achieves 100% generative efficiency.
Xiangyang Liu+12 more
wiley +1 more source