Reducing the Complexity of Operational Domain Computation in Silicon Dangling Bond Logic-Reference-Cited by-同舟云学术

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Reducing the Complexity of Operational Domain Computation in Silicon Dangling Bond Logic

Published:2023-12-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th ACM International Symposium on Nanoscale Architectures
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Author:

Walter Marcel¹^ORCID,Drewniok Jan²^ORCID,Ng Samuel Sze Hang³^ORCID,Walus Konrad³^ORCID,Wille Robert⁴^ORCID

Affiliation:

1. Chair for Design Automation, Technical University of Munich, Germany

2. TUM School of Computation, Information and Technology, Technical University of Munich, Germany

3. Department of Electrical and Computer Engineering, University of British Columbia, Canada

4. Technical University of Munich & SCCH GmbH, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611315.3633246

Reference35 articles.

1. Lithography for robust and editable atomic-scale silicon devices and memories

2. S.-S. Ahmadpour 2023. An Efficient Design of Multiplier for Using in Nano-Scale IoT Systems Using Atomic Silicon. IEEE Internet Things J. (2023).

3. S.-S. Ahmadpour 2023. An Energy-Aware Nano-Scale Design of Reversible Atomic Silicon based on Miller Algorithm. IEEE Design & Test (2023).

4. A. N. Bahar 2020. Atomic silicon quantum dot: a new designing paradigm of an atomic logic circuit. TNANO (2020), 807–810.

5. H. N. Chiu. 2020. Simulation and Analysis of Clocking and Control for Field-coupled Quantum-dot Nanostructures. Master’s thesis. University of British Columbia.

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