Soft Neuromorphic Electronics

Soft neuromorphic electronics offer new opportunities for in-sensor computing with parallel and adaptive signal processing. While conventional neuromorphic hardware is still in its early stages and faces substantial challenges in materials, architecture, and integration, we are pioneering next-generation soft neuromorphic systems tailored for future wearable and skin-interfaced technologies. By employing soft materials, organic compounds, and device-level learning mechanisms, our research aims to establish fundamentally new pathways for hardware-level neuromorphic computation.

Featured highlights

1. All-soft organic optoelectronic synapses enabling light-driven bidirectional plasticity for deformable hardware-level vector-matrix multiplication
   Device, 4, 101249 (2026)

2. Recent advances in zero-power optoelectronic synapses with potential for wearable neuromorphic platforms
   Soft Science, 6, 25 (2026)