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Ferroelectric Domain Wall Memory and Logic

Jie Sun, An-Quan Jiang, Pankaj Sharma

2023ACS Applied Electronic Materials15 citationsDOI

Abstract

Powered by big data and artificial intelligence, data-centric innovations are bringing about transformative societal changes and are expected to continue to meteorically rise for the foreseeable future, necessitating an accelerated development of alternative miniatured electronics and computing, which surmount the traditional latency and energy issues of von Neumann computing. One such highly attractive avenue involves the exploration of electrically programmable topological nanostructures, such as domain walls in ferroelectrics─the atomically abrupt nanoscale interfaces. The ferroelectric domain walls are agile and responsive to external stimuli. This allows selective control over their position, conformation, and functionality, which is ultimately the key to realizing low-energy memory and computing structures. This topical article examines the technological applications of ferroelectric domain walls for high-density information storage, logic, and computing applications and offers insights into potential future developments including challenges and opportunities.

Topics & Concepts

Von Neumann architectureTransformative learningFerroelectricityDomain (mathematical analysis)Agile software developmentNanotechnologyComputer scienceKey (lock)Materials scienceComputer securityOptoelectronicsPsychologySoftware engineeringOperating systemMathematical analysisDielectricPedagogyMathematicsAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesFerroelectric and Piezoelectric Materials
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