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- W2972726508 endingPage "726" @default.
- W2972726508 startingPage "711" @default.
- W2972726508 abstract "Processing, storing, and transmitting information accounts for ∼10% of global energy use; projections suggest that computational energy demands will be 10× higher than the projected global energy supply by 2040. Realizing solid-state analogs of neural circuitry, using ‘neuromorphic’ materials, holds promise for enabling a new energy-efficient computing paradigm. The metal–insulator transitions (MITs) of electron-correlated transition-metal oxides provide an attractive vector for achieving large conductance switching with minimal energy dissipation. Here, we review current understanding of the mechanisms underpinning electronic instabilities, discuss methods for modulation of spiking behavior through tuning of atomistic and electronic structure, and highlight the need for establishing deterministic and independent control of transformation characteristics such as switching magnitude, energy thresholds, heat dissipation, hysteresis, and dynamics of relaxation." @default.
- W2972726508 created "2019-09-19" @default.
- W2972726508 creator A5002709382 @default.
- W2972726508 creator A5010735432 @default.
- W2972726508 creator A5024612449 @default.
- W2972726508 creator A5043336116 @default.
- W2972726508 creator A5064507691 @default.
- W2972726508 date "2019-11-01" @default.
- W2972726508 modified "2023-10-03" @default.
- W2972726508 title "Building Brain-Inspired Logic Circuits from Dynamically Switchable Transition-Metal Oxides" @default.
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