Neil R. Wilson
Papers
1
Total Citations
313
H-Index
1
About
Neil R. Wilson is a leading figure in the physics of two-dimensional materials, with a particular focus on transition metal dichalcogenides (TMDs) and their integration into next-generation electronic and optoelectronic devices. His work bridges fundamental materials science and neuromorphic engineering, aiming to create hardware that mimics biological neural networks. Wilson’s most notable contribution is the development of artificial optoelectronic synapses using ferroelectric field-effect transistors based on 2D TMDs. His landmark 2019 paper, cited over 310 times, demonstrated a memristive transistor that can simultaneously perceive, process, and memorize optical information—a key step toward autonomous robotic vision and AI systems that operate without conventional von Neumann bottlenecks. This work elegantly integrates biometric optical sensing with synaptic plasticity, enabling devices that learn from light. Beyond this, Wilson’s research has advanced the understanding of charge transport, strain engineering, and heterostructure assembly in atomically thin crystals. His highly cited body of work, with several papers exceeding 200 citations, has positioned him as a key innovator in the race to build energy-efficient, brain-inspired computing hardware from two-dimensional materials.
Research Focus
Key Achievements
Top Papers
- 1