journal article·2023-09

An Aqueous Analog MAC Machine

Woo‐Bin Jung, Han Sae Jung, Jun Wang, Henry Hinton, Maxime Fournier, Adrian Horgan, Xavier Godron, Robert Nicol, Donhee Ham

Advanced Materials· Volume 35· Issue 37
Publisher page

Abstract

Abstract Using ions in aqueous milieu for signal processing, like in biological circuits, may potentially lead to a bioinspired information processing platform. Studies, however, have focused on individual ionic diodes and transistors rather than circuits comprising many such devices. Here a 16 × 16 array of new ionic transistors is developed in an aqueous quinone solution. Each transistor features a concentric ring electrode pair with a disk electrode at the center. The electrochemistry of these electrodes in the solution provides the basis for the transistor operation. The ring pair electrochemically tunes the local electrolytic concentration to modulate the disk's Faradaic reaction rate. Thus, the disk current as a Faradaic reaction to the disk voltage is gated by the ring pair. The 16 × 16 array of these transistors performs analog multiply–accumulate (MAC) operations, a computing modality hotly pursued for low‐power artificial neural networks. This exploits the transistor's operating regime where the disk current is a multiplication of the disk voltage and a weight parameter tuned by the ring pair gating. Such disk currents from multiple transistors are summated in a global reference electrode to complete a MAC task. This ionic circuit demonstrating analog computing is a step toward sophisticated aqueous ionics.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neural Networks and Reservoir Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA 02138 USA

DNA Script Le Kremlin‐Bicêtre 94270 France

Broad Institute of MIT and Harvard 415 Main Street Cambridge MA 02142, 16 USA

Funding

Office of the Director of National Intelligence · Intelligence Advanced Research Projects Activity

References (32)

Show source-provided references
1. 10.1073/pnas.091391110710.1073/pnas.0913911107 ↗
2. 10.1002/anie.20090004510.1002/anie.200900045 ↗
3. 10.1021/ja200492c10.1021/ja200492c ↗
4. 10.1021/la902792f10.1021/la902792f ↗
5. 10.1038/ncomms186910.1038/ncomms1869 ↗
6. 10.1038/s41467-020-15398-310.1038/s41467-020-15398-3 ↗
7. 10.1002/adma.20210151810.1002/adma.202101518 ↗
8. Tan S. T. M. · Adv. Funct. Mater. · 2021 · 31
9. 10.1039/C5SM00573F10.1039/C5SM00573F ↗
10. 10.1126/science.abb514410.1126/science.abb5144 ↗
11. 10.1126/sciadv.abm681510.1126/sciadv.abm6815 ↗
12. 10.1038/s41563-019-0291-x10.1038/s41563-019-0291-x ↗
13. 10.1038/s41928-021-00646-110.1038/s41928-021-00646-1 ↗
14. 10.1038/s41928-017-0006-810.1038/s41928-017-0006-8 ↗
15. 10.1038/nnano.2017.8310.1038/nnano.2017.83 ↗
16. 10.1038/nature1444110.1038/nature14441 ↗
17. 10.1038/ncomms307210.1038/ncomms3072 ↗
18. 10.1038/s41586-018-0180-510.1038/s41586-018-0180-5 ↗
19. 10.1021/acs.nanolett.7b0055210.1021/acs.nanolett.7b00552 ↗
20. 10.1038/s41578-019-0159-310.1038/s41578-019-0159-3 ↗
21. 10.1038/s41928-020-0397-910.1038/s41928-020-0397-9 ↗
22. 10.1038/s41928-019-0221-610.1038/s41928-019-0221-6 ↗
23. 10.1038/s41928-017-0002-z10.1038/s41928-017-0002-z ↗
24. 10.1002/adma.20200243110.1002/adma.202002431 ↗
25. 10.1109/JSSC.2020.300581610.1109/JSSC.2020.3005816 ↗
26. 10.1038/s41551-019-0455-710.1038/s41551-019-0455-7 ↗
27. 10.1021/ja074308310.1021/ja0743083 ↗
28. 10.1149/2.0181409jes10.1149/2.0181409jes ↗
29. 10.1016/j.jelechem.2018.11.04310.1016/j.jelechem.2018.11.043 ↗
30. 10.1016/0022-0728(94)03335-810.1016/0022-0728(94)03335-8 ↗
31. 10.1038/s41586-021-04196-610.1038/s41586-021-04196-6 ↗
32. 10.1002/adma.20190276110.1002/adma.201902761 ↗