| Title |
Parallel computation with molecular-motor-propelled agents in nanofabricated networks
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, February 2016
|
| DOI | 10.1073/pnas.1510825113 |
| Pubmed ID | |
| Authors |
Dan V Nicolau, Mercy Lard, Till Korten, Falco C M J M van Delft, Malin Persson, Elina Bengtsson, Alf Månsson, Stefan Diez, Heiner Linke, Dan V Nicolau |
| Abstract |
The combinatorial nature of many important mathematical problems, including nondeterministic-polynomial-time (NP)-complete problems, places a severe limitation on the problem size that can be solved with conventional, sequentially operating electronic computers. There have been significant efforts in conceiving parallel-computation approaches in the past, for example: DNA computation, quantum computation, and microfluidics-based computation. However, these approaches have not proven, so far, to be scalable and practical from a fabrication and operational perspective. Here, we report the foundations of an alternative parallel-computation system in which a given combinatorial problem is encoded into a graphical, modular network that is embedded in a nanofabricated planar device. Exploring the network in a parallel fashion using a large number of independent, molecular-motor-propelled agents then solves the mathematical problem. This approach uses orders of magnitude less energy than conventional computers, thus addressing issues related to power consumption and heat dissipation. We provide a proof-of-concept demonstration of such a device by solving, in a parallel fashion, the small instance {2, 5, 9} of the subset sum problem, which is a benchmark NP-complete problem. Finally, we discuss the technical advances necessary to make our system scalable with presently available technology. |
X Demographics
The data shown below were collected from the profiles of 99 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 17% |
| United Kingdom | 4 | 4% |
| France | 4 | 4% |
| Canada | 4 | 4% |
| India | 3 | 3% |
| Australia | 3 | 3% |
| Mexico | 3 | 3% |
| Argentina | 2 | 2% |
| Germany | 2 | 2% |
| Other | 11 | 11% |
| Unknown | 46 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 75 | 76% |
| Scientists | 22 | 22% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 3 | 1% |
| Japan | 2 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Taiwan | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| Lithuania | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 238 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 63 | 25% |
| Student > Master | 34 | 13% |
| Researcher | 32 | 12% |
| Student > Bachelor | 22 | 9% |
| Professor | 17 | 7% |
| Other | 47 | 18% |
| Unknown | 42 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 44 | 17% |
| Agricultural and Biological Sciences | 42 | 16% |
| Biochemistry, Genetics and Molecular Biology | 36 | 14% |
| Engineering | 20 | 8% |
| Chemistry | 20 | 8% |
| Other | 45 | 18% |
| Unknown | 50 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 535. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2023.
All research outputs
#46,762
of 25,670,640 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#1,230
of 103,543 outputs
Outputs of similar age
#771
of 313,608 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#19
of 878 outputs
Altmetric has tracked 25,670,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 878 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.