Results 181 to 190 of about 425,946 (297)

Engineering current collectors for advanced alkali metal anodes: A review and perspective

open access: yesEcoMat, Volume 5, Issue 1, January 2023., 2023
Rational choice of current collectors plays a key role for successful operation of alkali metal batteries (AMBs). In this paper, fundamentals of alkali metal deposition on current collectors as well as recent advancements on designing functional metal and carbon‐based current collectors are reviewed.
Liang Hu   +7 more
wiley   +1 more source

Deep Learning‐Coupled Metabolic Heat Integrated Sensing System for Noninvasive Continuous Monitoring of Blood Glucose

open access: yesAdvanced Intelligent Systems, EarlyView.
A portable, wearable device based on metabolic heat integrated sensing and deep learning enables continuous blood glucose (BG) monitoring. The system uses a gate recurrent unit model for real‐time BG prediction, achieving accuracy comparable to commercial noninvasive meters.
Haolin Wang   +12 more
wiley   +1 more source

Recent advances of non‐fullerene organic solar cells: From materials and morphology to devices and applications

open access: yesEcoMat, Volume 5, Issue 1, January 2023., 2023
Non‐fullerene organic solar cells (NFA‐OSCs) have seen massive progress in power conversion efficiencies surpassing 19%, benefiting from material innovation and device engineering. Moreover, NFA‐OSCs show great potential for promising applications, such as semitransparent and flexible photovoltaic technology. This review outlines the latest progress of
Ying Zhang, Yongwen Lang, Gang Li
wiley   +1 more source

Environment sustainability with smart grid sensor. [PDF]

open access: yesFront Artif Intell
Mahadik S, Gedam M, Shah D.
europepmc   +1 more source

Deep Learning Methods in Soft Robotics: Architectures and Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda   +3 more
wiley   +1 more source

Metal‐organic framework derived porous structures towards lithium rechargeable batteries

open access: yesEcoMat, Volume 5, Issue 2, February 2023., 2023
In this review, we discuss the characteristics of metal‐organic frameworks (MOFs) applied to lithium storage devices containing Li‐ion, Li‐sulfur, Li‐metal, and Li‐O2. We summarize the origin, nomenclature, and synthesis method of MOFs, and report on recent studies in which MOFs and MOF‐derived materials are applied to lithium rechargeable batteries ...
Sang A Han   +4 more
wiley   +1 more source

Role of artificial intelligence in smart grid - a mini review. [PDF]

open access: yesFront Artif Intell
Balamurugan M   +4 more
europepmc   +1 more source

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