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arXiv · 2508.10915

Insect-Wing Structured Microfluidic System for Reservoir Computing

Jacob Clouse·Thomas Ramsey·Samitha Somathilaka·Nicholas Kleinsasser·Sangjin Ryu·Sasitharan Balasubramaniam
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Abstract

As the demand for more efficient and adaptive computing grows, nature-inspired architectures offer promising alternatives to conventional electronic designs. Microfluidic platforms, drawing on biological forms and fluid dynamics, present a compelling foundation for low-power, high-resilience computing in environments where electronics are unsuitable. This study explores a hybrid reservoir computing system based on a dragonfly-wing inspired microfluidic chip, which encodes temporal input patterns as fluid interactions within the micro channel network. The system operates with three dye-based inlet channels and three camera-monitored detection areas, transforming discrete spatial patterns into dynamic color output signals. These reservoir output signals are then modified and passed to a simple and trainable readout layer for pattern classification. Using a combination of raw reservoir outputs and synthetically generated outputs, we evaluated system performance, system clarity, and data efficiency. The results demonstrate consistent classification accuracies up to $91\%$, even with coarse resolution and limited training data, highlighting the viability of the microfluidic reservoir computing.

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Jacob Clouse, Thomas Ramsey, Samitha Somathilaka, Nicholas Kleinsasser, Sangjin Ryu, Sasitharan Balasubramaniam. 2025-08-01. Insect-Wing Structured Microfluidic System for Reservoir Computing. https://arxiv.org/abs/2508.10915

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