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physics.comp-ph2026
Multistability and state-switching in series-coupled resonant tunneling diodes
Jannis Waldmann, Jonnel Jaurigue, Kathy Lüdge
Resonant tunneling diodes (RTDs) embedded in an electrical circuit are known for their neuron-like response characteristics, which makes them promising candidates for neuromorphic…
physics.comp-ph2025
Neuromorphic Photonic Processing and Memory with Spiking Resonant Tunnelling Diode Neurons and Neural Networks
Dafydd Owen-Newns, Joshua Robertson, Giovanni Donati +5
Neuromorphic computing-modelled after the functionality and efficiency of biological neural systems-offers promising new directions for advancing artificial intelligence and comput…
physics.comp-ph2025
Utilizing rate-independent hysteresis for analog computing
Lina Jaurigue, Kathy Lüdge
Physical systems exhibiting hysteresis are increasingly being used in neuromorphic and in-memory computing research. Generally, the resistance switching of devices with rate-indepe…