Jen‐Sue Chen
Papers
1
Total Citations
71
H-Index
1
About
Dr. Jen-Sue Chen is a leading figure in the field of emerging non-volatile memory and neuromorphic computing, with a particular focus on resistive switching (memristor) devices. Her major contributions center on engineering novel oxide-based materials and device architectures to emulate complex biological neural functions. A standout achievement is her 2022 work on a ZrOx-based threshold switching memristor, which successfully emulates both a nociceptive (pain) receptor and a leaky integrate-and-fire (LIF) neuron. This work, already garnering 71 citations, demonstrates a crucial step toward creating hardware that can process multiple, complex tasks in a single device, moving beyond simple synaptic mimics. Dr. Chen’s research is highly impactful, bridging materials science and neuroscience to advance the hardware foundation for artificial neural networks. Her work is notable for its focus on device uniformity, high switching speed, and scalability—key challenges for practical neuromorphic systems. By integrating sensory and neuronal functions, she is helping to build the next generation of efficient, brain-inspired computing platforms.
Research Focus
Key Achievements
Top Papers
- 1