Intelligent infrared sensing enabled by moiré quantum geometry
ORAL
Abstract
Moiré quantum materials exhibit large bulk photovoltaic effects in the infrared regime due to their quantum geometric properties. The photoresponses are closely related to the polarization states, power and frequency of the incident light. By leveraging the gate tunability of the materials, a large number of photovoltage maps with the properties of light encoded can be generated. These maps can be used to train a convolutional neural network to decode simultaneously the properties of an unknown incident light, enabling an unprecedented intelligent light sensing technology in an extremely compact, on-chip manner.
*This theoretical work at UTD is supported by the Army Research Office under grant number W911NF-18-1-0416 and by the National Science Foundation under grant numbers DMR-1945351 through the CAREER program, DMR-1921581 through the DMREF program and DMR-2105139 through the CMP program.
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Publication: [1] Ma et al., Intelligent infrared sensing enabled by tunable moiré quantum geometry. Nature 604, 266–272 (2022).
[2] Yuan et al., Geometric deep optical sensing. Science 379, eade1220 (2023).
Presenters
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Patrick Cheung
- The University of Texas at Dallas