Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session T02: Information in Thermodynamics
11:30 AM–2:18 PM,
Thursday, March 9, 2023
Room: Room 125
Sponsoring
Unit:
GSNP
Chair: Marc Serra Garcia, ETH Zurich
Abstract: T02.00001 : Materializing Cognition: Information processing with cognitive matter
11:30 AM–12:06 PM
Presenter:
Wilfred van de Wiel
(University of Twente)
Author:
Wilfred van de Wiel
(University of Twente)
Here we introduce the concept of “intelligent matter” and discuss a number of experiments on disordered nanomaterial systems, where we make sure of “material learning” to realize functionality. We have shown that a ‘designless’ network of gold nanoparticles can be configured into Boolean logic gates using artificial evolution2. We further demonstrated that this principle is generic and can be transferred to other material systems. By exploiting the nonlinearity of a nanoscale network of boron dopants in silicon, referred to as a dopant network processing unit (DNPU), we can significantly facilitate classification. Using a convolutional neural network approach, it becomes possible to use our device for handwritten digit recognition3. An alternative material-learning approach is followed by first mapping our DNPU on a deep-neural-network model, which allows for applying standard machine-learning techniques in finding functionality4. We also show that the widely applied machine-learning technique of gradient descent can be directly applied in materia, opening up the pathway for autonomously learning hardware systems5. Finally, we show that kinetic Monte Carlo simulations of electron transport in DNPUs can be used to reproduce the main characteristics and to depict the charge trajectories6.
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