Grace Whang, Randy Chen, Jacky T. T. Yu, Christopher Choi, Patricia McNeil, Jérémie Chaillou, Christophe Loyez, Christophe Lethien, Bruce Dunn
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引用次数: 0
Abstract
The rapid global adoption of the Internet of Things (IoT), combined with the ongoing trend toward device miniaturization, has marked the emergence of compact, connected technologies. However, as device dimensions continue to decrease, power sources remain a critical bottleneck. Micropower sources (<1 cm2) must balance the inherent trade‐off between physical size and achievable energy and power densities. Although advances in materials and design are steadily improving performance within small form factors, a comprehensive assessment of how well current micropower technologies meet the energy and power requirements of modern IoT devices is still lacking. This Perspective aims to: 1) define the opportunity space for miniaturized energy storage systems within IoT technologies, 2) survey the commercial and research landscape of micropower sources, and 3) critically evaluate whether current micropower solutions fulfill the demands of existing and emerging IoT applications.
期刊介绍:
Established in 2011, Advanced Energy Materials is an international, interdisciplinary, English-language journal that focuses on materials used in energy harvesting, conversion, and storage. It is regarded as a top-quality journal alongside Advanced Materials, Advanced Functional Materials, and Small.
With a 2022 Impact Factor of 27.8, Advanced Energy Materials is considered a prime source for the best energy-related research. The journal covers a wide range of topics in energy-related research, including organic and inorganic photovoltaics, batteries and supercapacitors, fuel cells, hydrogen generation and storage, thermoelectrics, water splitting and photocatalysis, solar fuels and thermosolar power, magnetocalorics, and piezoelectronics.
The readership of Advanced Energy Materials includes materials scientists, chemists, physicists, and engineers in both academia and industry. The journal is indexed in various databases and collections, such as Advanced Technologies & Aerospace Database, FIZ Karlsruhe, INSPEC (IET), Science Citation Index Expanded, Technology Collection, and Web of Science, among others.