Breakthrough in Neuromorphic Computing: Researchers Develop Reconfigurable Bimodal Ferroelectric Synapse

Strategic Insights -

Palaiseau, France-based researchers have made a significant leap in the field of neuromorphic computing, discovering a reconfigurable bimodal ferroelectric synapse that enhances the functionality and scalability of van der Waals (vdW) ferroelectric field-effect transistors. The novel synapse, developed by a team from the University of Paris Saclay, boasts precise electrical control over ferroelectric domain landscape, enabling continuous tuning of WSe channel conductance and its threshold voltage. The device's ambipolar nature allows for real-time switching between excitatory and inhibitory synaptic behaviors, mimicking multimodal neurotransmission observed in the human brain.

Key Takeaways:

  • Researchers from the University of Paris Saclay have developed a reconfigurable bimodal ferroelectric synapse based on a CuInPS/hBN/WSe vdW heterostructure, extending the capabilities of conventional single-modal synaptic devices.
  • The synapse features precise electrical control over ferroelectric domain landscape, enabling continuous tuning of WSe channel conductance and its threshold voltage.
  • The ambipolar nature of the device allows for real-time switching between excitatory and inhibitory synaptic behaviors, mimicking multimodal neurotransmission observed in the human brain.
  • Neural network simulations incorporating the device show excellent learning performance for both synaptic modes, highlighting its potential for next-generation neuromorphic computing.
  • The research expands the functional and scaling capabilities of vdW ferroelectric technology, demonstrating its potential for next-generation artificial intelligence electronics.
  • The device has been demonstrated at channel lengths down to 50 nm, venturing into previously uncharted territory for ferroelectric vdW synapses.
  • The research has been peer-reviewed and published in the journal ACS Applied Materials & Interfaces.
  • The publication of this research marks a significant step toward the development of more advanced and efficient neuromorphic computing systems.

Statistics:

  • The research was conducted by a team of researchers from the University of Paris Saclay, led by Stephane Fusil, Laboratoire Albert Fert, National Center for Scientific Research (CNRS), Thales.
  • The novel synapse was developed using a CuInPS/hBN/WSe vdW heterostructure.
  • The device features precise electrical control over ferroelectric domain landscape, with a channel length of up to 50 nm.
  • Neural network simulations incorporating the device showed excellent learning performance for both synaptic modes.
  • The research has been published in the journal ACS Applied Materials & Interfaces, Volume 2025.

Sources:

  • Bi-Modal Synapse Based on a Short-Channel Ferroelectric van der Waals Heterostructure. ACS Applied Materials & Interfaces, 2025.
  • ACS Applied Materials & Interfaces can be contacted at: Amer Chemical Soc, 1155 16TH St, NW, Washington, DC 20036, USA.
  • NewsRx. Findings from University of Paris Saclay in the Area of Science Described (Bi-Modal Synapse Based on a Short-Channel Ferroelectric van der Waals Heterostructure). Electronics Newsweekly. November 4, 2025; p 92.