Electrical Impedance Correlated to Flow Rate in Elastomeric Valves: An Analog Material Memory

Elastomeric valves are used regularly in microfluidic applications as monolithic control elements to direct, arrest, and drive fluid flow. However, normally closed elastomeric microvalves constructed in polydimethylsiloxane (PDMS) appear to exhibit a material memory property in which flow rate information is stored in the electrical properties of the PDMS device. Flow rate through the open valves shows high correlation with the subsequent impedance measured across the closed valve, with a constant of proportionality as high as 7.61 kΩ per μL/min at 100 Hz. The memory effect is relatively nonvolatile, maintaining linearity for greater than 10 min and is resilient to mechanical perturbation. Overwrite times are characterized, and the memory effect is observed across multiple devices and stimulus frequencies. These characteristics as a nonvolatile analog memory element show promise for applications in neuromorphic computing systems.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-03-26
DOI
https://doi.org/10.1021/acsami.5c03769
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46

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article

Electrical Impedance Correlated to Flow Rate in Elastomeric Valves: An Analog Material Memory

Juanita Mathews, Jeffrey T. Borenstein, Joel Dungan, Michael Levin et al.
2 citations
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
1.46
article

Electrical Impedance Correlated to Flow Rate in Elastomeric Valves: An Analog Material Memory

Juanita Mathews, Jeffrey T. Borenstein, Joel Dungan, Michael Levin, Valencia Joyner Koomson
article en
2 citations

Abstract

Elastomeric valves are used regularly in microfluidic applications as monolithic control elements to direct, arrest, and drive fluid flow. However, normally closed elastomeric microvalves constructed in polydimethylsiloxane (PDMS) appear to exhibit a material memory property in which flow rate information is stored in the electrical properties of the PDMS device. Flow rate through the open valves shows high correlation with the subsequent impedance measured across the closed valve, with a constant of proportionality as high as 7.61 kΩ per μL/min at 100 Hz. The memory effect is relatively nonvolatile, maintaining linearity for greater than 10 min and is resilient to mechanical perturbation. Overwrite times are characterized, and the memory effect is observed across multiple devices and stimulus frequencies. These characteristics as a nonvolatile analog memory element show promise for applications in neuromorphic computing systems.

ACS Applied Materials & InterfacesVol. 17(14)
Tufts University (US), Draper Laboratory (US), Harvard University Press (US)
John Templeton Foundation
Affordable and clean energy
Openalex Percentile: Top 19%
Advanced Memory and Neural Computing
1.46
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Electrical Impedance Correlated to Flow Rate in Elastomeric Valves: An Analog Material Memory — Juanita Mathews, Jeffrey T. Borenstein, et al. · ACS Applied Materials & Interfaces (2025) | TGRS Research Map | TGRS