Fabrication of amorphous metal oxide/p-BiVO4 photocathode: understanding the role of entropy for reducing nitrate to ammonia

Author(s):  
Fengfeng Wang ◽  
Qijia Ding ◽  
Yajie Bai ◽  
Hongye Bai ◽  
Song Wang ◽  
...  

The controllable design of chemical microenvironment with the expected thermodynamics and kinetics for boosting catalytic activity and selectivity is still challenging. Herein, an amorphous metal oxide (A-MxOy) was employed to...

2021 ◽  
pp. 2000222
Author(s):  
Shruti Nirantar ◽  
Md Ataur Rahman ◽  
Edwin Mayes ◽  
Madhu Bhaskaran ◽  
Sumeet Walia ◽  
...  

2018 ◽  
Vol 10 (31) ◽  
pp. 25866-25870 ◽  
Author(s):  
Hong-Chih Chen ◽  
Ting-Chang Chang ◽  
Wei-Chih Lai ◽  
Guan-Fu Chen ◽  
Bo-Wei Chen ◽  
...  

2019 ◽  
Vol 126 (12) ◽  
pp. 125702 ◽  
Author(s):  
Juhi Srivastava ◽  
Suhas Nahas ◽  
Somnath Bhowmick ◽  
Anshu Gaur

2016 ◽  
Vol 26 (17) ◽  
pp. 2820-2825 ◽  
Author(s):  
Pushpa Raj Pudasaini ◽  
Joo Hyon Noh ◽  
Anthony T. Wong ◽  
Olga S. Ovchinnikova ◽  
Amanda V. Haglund ◽  
...  

2022 ◽  
Author(s):  
Mutsumi Kimura ◽  
Yuki Shibayama ◽  
Yasuhiko Nakashima

Abstract Artificial intelligences are promising in future societies, and neural networks are typical technologies with the advantages such as self-organization, self-learning, parallel distributed computing, and fault tolerance, but their size and power consumption are large. Neuromorphic systems are biomimetic systems from the hardware level, with the same advantages as living brains, especially compact size, low power, and robust operation, but some well-known ones are non-optimized systems, so the above benefits are only partially gained, for example, machine learning is processed elsewhere to download fixed parameters. To solve these problems, we are researching neuromorphic systems from various viewpoints. In this study, a neuromorphic chip integrated with an LSI and amorphous-metal-oxide semiconductor (AOS) thin-film synapse devices has been developed. The neuron elements are digital circuit, which are made in an LSI, and the synapse devices are analog devices, which are made of the AOS thin film and directly integrated on the LSI. This is the world's first hybrid chip where neuron elements and synapse devices of different functional semiconductors are integrated, and local autonomous learning is utilized, which becomes possible because the AOS thin film can be deposited without heat treatment and there is no damage to the underneath layer, and has all advantages of neuromorphic systems.


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