Results 161 to 170 of about 51,005,658 (304)

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

AGRICULTURAL ECONOMICS RESEARCH AND EXTENSION MARKETING PROGRAMS: HOW WELL ARE THEY INTEGRATED? [PDF]

open access: yes
Extension marketing economists were surveyed to determine whether they are using available research results and whether research is being conducted on topics relevant to extension marketing economists.
Anderson, Kim B., Brorsen, B. Wade
core  

Efficient Direct Recycling of Spent Batteries: Integrated Lithiation and Delamination

open access: yesAdvanced Science, EarlyView.
An integrated process for the delamination and relithiation of spent cathodes, LixNi0.6Co0.2Mn0.2O2 and LixFePO4, under open‐air conditions is proposed. The transition‐metal (Ni) oxidation state in the cathode is reduced by the oxidation of diethylene glycol, facilitating relithiation. Glycol aldehyde formation induces 100% electrode delamination.
Jeonghwan Song   +11 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

Reconstruction of Ultrafine MnS‐Induced Vacancy‐Rich Co9S6.29 Precatalysts in Mesoporous S‐Doped N‐Rich Hollow Carbon Nanotubes Enables Dynamic O‐Vacancy Cycling for High‐Performance Zn‐Air Batteries

open access: yesAdvanced Science, EarlyView.
We develop vacancy‐rich Co9S6.29 precatalysts formed via ultrafine MnS‐induced lattice distortion in mesoporous S‐doped N‐rich hollow carbon nanotubes (CM@SNHCTs). This CM@SNHCT precatalyst is reconstructed into catalytically‐active cathode phases that enable efficient oxygen reduction/evolution reactions (ORR/OER) through dynamic O‐vacancy formation ...
Debarani Devi Khumujam   +10 more
wiley   +1 more source

Hyperpolarization of [1‐13C]Ketoisocaproate‐d2 by Reversible Exchange with Parahydrogen Enables Profiling of Branched‐Chain‐Amino‐Acid Metabolism in Cellulo and in Vivo

open access: yesAdvanced Science, EarlyView.
We report the fast generation of biocompatible solutions of highly 13C‐hyperpolarized (≈11%) partially‐deuterated ketoisocaproate within <6 min using spin‐lock‐induced crossing and reversible exchange with parahydrogen (SLIC‐SABRE). This enables rapid detection of branched‐chain‐amino‐acid transferase 1 (BCAT1) protein expression and investigation of ...
Stefan Petersen   +18 more
wiley   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

open access: yesAdvanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen   +15 more
wiley   +1 more source

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