An Artificial Neuromorphic Opto-Gas Synergistic Device Based on a Two-Dimensional Perovskite Oxide for Acid Rain
Jian Wang1, Wei Xia1, Liheng Fan1
1School of Flexible Electronics (Future Technologies) & Institute of Advanced Materials, Nanjing Tech University, Nanjing, China.
Abstract:
The development of multifunctional artificial synapses capable of integrating molecular sensing and physical stimuli detection remains a challenge due to limited material systems that exhibit both multi-modal responsiveness and tunable synaptic characteristics. Herein, we report two-dimensional perovskite oxide La2Ti2O7 (LTO) nanosheets that are semiconducting and ion conductive, rendering them sensitive to humidity, NO2 gas, and light. A two-terminal device based on the LTO nanosheets exhibited tunable synaptic behaviors and input-dependent switching between excitatory and inhibitory postsynaptic currents. Importantly, a long-term inhibitory memory was achieved, resulting from the light-triggered reaction between environmental H2O and NO2 molecules, which deprived H2O from the LTO surface to bring LTO to a high resistance state. As a proof-of-concept, our two-terminal device was employed for evaluation and early warning of potential acid rain scenarios, demonstrating its advantage of reducing system complexity compared to a conventional system that requires multiple sensors and logic processors. Our work provides a new strategy of using multi-functional sensing materials for artificial synapses in responding to environmental chemical processes.


