Transparent Photovoltaics for Self-Powered Bioelectronics and Neuromorphic Applications

被引:15
|
作者
Bhatnagar, Priyanka [1 ,2 ]
Patel, Malkeshkumar [1 ,2 ]
Nguyen, Thanh Tai [1 ,2 ]
Kim, Sangho [1 ,2 ]
Kim, Joondong [1 ,2 ]
机构
[1] Incheon Natl Univ, Photoelect & Energy Device Applicat Lab PEDAL, Multidisciplinary Core Inst Future Energies MCIFE, Incheon 22012, South Korea
[2] Incheon Natl Univ, Dept Elect Engn, Incheon 22012, South Korea
来源
JOURNAL OF PHYSICAL CHEMISTRY LETTERS | 2021年 / 12卷 / 51期
基金
新加坡国家研究基金会;
关键词
ORGANIC SOLAR-CELLS; EFFICIENCY; LIMITS;
D O I
10.1021/acs.jpclett.1c03514
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Inspired by the brain, future computation depends on creating a neuromorphic device that is energy-efficient for information processing and capable of sensing and learning. The current computation-chip platform is not capable of self-power and neuromorphic functionality; therefor; a need exists for a new platform that provides both. This Perspective illustrates potential transparent photovoltaics as a platform to achieve scalable, multimodal sensory, self-sustainable neural systems (e.g., visual cortex, nociception, and electronic skin). We present herein a strategy to harvest solar power using a transparent photovoltaic device that provides neuromorphic functionality to implement versatile, sustainable, integrative, and practical applications. The proposed solid-inorganic heterostructure platform is indispensable for achieving a variety of biosensors, sensory systems, neuromorphic computing, and machine learning.
引用
收藏
页码:12426 / 12436
页数:11
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