The future of nanocomputing - Find and share research.
I will present one of the most active directions of research in DNA computing, namely DNA nanocomputing by self-assembly. I will namely discuss the computational potential of self-assembly, the process by which objects autonomously come together to form complex structures.
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ACM NanoCom 2020 will highlight novel research results and breakthrough ideas, and identify directions for short and medium term exploitation. Novel theoretical and experimental research contributions are welcome. The conference will feature contributed and invited papers, posters, and keynote addresses in this emerging inter-disciplinary field.
Computers may be thought of as engines for transforming free energy into waste heat and mathematical work. Existing electronic computers dissipate energy vastly in excess of the mean thermal energykT, for purposes such as maintaining volatile storage devices in a bistable condition, synchronizing and standardizing signals, and maximizing switching speed. On the other hand, recent models due to.
A modular approach for determination of lower bounds on heat dissipation in clocked quantum-cellular automata (QCA) circuits is proposed, and its application is illustrated. This approach, which is based on a methodology developed previously for determining dissipation bounds in nanocomputing technologies, simplifies analysis of clocked QCA circuits that are designed according to specified.
Current research on the Stroop effect emphasizes the interference that automatic processing of words has on the more mentally effortful task of just naming the ink color. The task of making an appropriate response - when given two conflicting signals - has tentatively been located in a part of the brain called the anterior cingulate.