{"ID":2887980,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.10915","arxiv_id":"2508.10915","title":"Insect-Wing Structured Microfluidic System for Reservoir Computing","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.","short_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 w...","url_abs":"https://arxiv.org/abs/2508.10915","url_pdf":"https://arxiv.org/pdf/2508.10915v1","authors":"[\"Jacob Clouse\",\"Thomas Ramsey\",\"Samitha Somathilaka\",\"Nicholas Kleinsasser\",\"Sangjin Ryu\",\"Sasitharan Balasubramaniam\"]","published":"2025-08-01T13:43:14Z","proceeding":"cs.NE","tasks":"[\"cs.NE\",\"cs.ET\",\"cs.LG\"]","methods":"[]","has_code":false}