Results 161 to 170 of about 4,484,297 (341)

Hydrogel‐Based Photothermal‐Catalytic Membrane for Efficient Cogeneration of Freshwater and Hydrogen in Membrane Distillation System

open access: yesAdvanced Functional Materials, EarlyView.
This work presents an overview of the PTC‐VMD system for water‐hydrogen co‐generation. a) Illustration of the hydrogel‐based PTC membrane and the co‐generation of water and hydrogen. b) Structure of the PTC‐VMD system and the functions of each component layer.
Jiawei Sun   +7 more
wiley   +1 more source

The use of mobile computing devices in microsurgery. [PDF]

open access: yesArch Plast Surg, 2019
Pafitanis G   +7 more
europepmc   +1 more source

Fibrous Pb(II)‐Based Coordination Polymer Operable as a Photocatalyst and Electrocatalyst for High‐Rate, Selective CO2‐to‐Formate Conversion

open access: yesAdvanced Functional Materials, EarlyView.
A coordination polymer [Pb(tadt)]n prepared by a microwave‐assisted solvothermal method selectively reduces CO2 into formate under visible light with a high apparent quantum yield of ≈25% at 400 nm. It can function as a pre‐catalyst, along with conductive Ketjen Black, to form an active PbCO3/Pb3(CO3)2(OH)2 mixture that exhibits a high Faradaic ...
Chomponoot Suppaso   +8 more
wiley   +1 more source

Internal Temperature Evolution Metrology and Analytics in Li‐Ion Cells

open access: yesAdvanced Functional Materials, EarlyView.
This study investigates the non‐linear evolution of internal temperatures across diverse operating conditions, highlighting the disparities between internal and external measurements and the resulting thermal asymmetries. The coupled thermo‐electrochemical modeling framework provides a comprehensive analysis of various heat generation modes, examining ...
Anuththara S. J. Alujjage   +5 more
wiley   +1 more source

Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark [PDF]

open access: yesarXiv
Rapid advancements in large language models (LLMs) have increased interest in deploying them on mobile devices for on-device AI applications. Mobile users interact differently with LLMs compared to desktop users, creating unique expectations and data biases.
arxiv  

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