Engineered nanoparticle network models for autonomous computing-Reference-Cited by-同舟云学术

Engineered nanoparticle network models for autonomous computing

Published:2021-06-07 Issue:21 Volume:154 Page:214702
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Wei Xingfei¹^ORCID,Zhao Yinong²^ORCID,Zhuang Yi¹^ORCID,Hernandez Rigoberto¹³^ORCID

Affiliation:

1. Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, USA

2. Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA

3. Departments of Chemical and Biomolecular Engineering, and Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA

Funder

Division of Information and Intelligent Systems

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

https://aip.scitation.org/doi/am-pdf/10.1063/5.0048898

Reference62 articles.

1. NON-DESTRUCTIVE WHOLE-BRAIN MONITORING USING NANOROBOTS: NEURAL ELECTRICAL DATA RATE REQUIREMENTS

2. Human Brain/Cloud Interface

3. Limits on fundamental limits to computation

4. Atomic Scale Dynamics Drive Brain-like Avalanches in Percolating Nanostructured Networks

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