Ferroelectric nanodot reservoir for neuromorphic computing

• Anna Razumnaya,
• Yuri Tikhonov,
• Dmitrii Naidenko,
• Léo Boron,
• Valerii Vinokur and
• Igor Lukyanchuk

Beilstein J. Nanotechnol. 2026, 17, 352–364, doi:10.3762/bjnano.17.24

• information encoding and provides a rich dynamic representation for subsequent processing in a readout layer of a neuromorphic circuit. Keywords: ferroelectric nanodots; multilevel logic; neuromorphic circuits; polarization; topological states; Introduction Neuromorphic computing aims to emulate the

• protected switching, enhanced memory capacity, and localized polarization textures that can act as multilevel logic or signal-processing elements [34]. Ferroelectric field-effect transistors (FeFETs), ferroelectric tunnel junctions (FTJs), and memcapacitive synapses revealing ferroelectric properties, have

• engineering have enabled reliable multilevel operation and subnanosecond switching speeds, which are essential for real-time neuromorphic processing [37]. A topologically configurable multilevel logic unit based on interacting ferroelectric domains proposed in [38][39] showed how polarization states can be