Titlebook: Memristor Computing Systems; Leon O. Chua,Ronald Tetzlaff,Angela Slavova Book 2022 Springer Nature Switzerland AG 2022 Memristor Computer

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Ta/HfO2-based Memristor and Crossbar Arrays for In-Memory Computingd hence promise substantial boost in computing throughput and energy efficiencies. However, such non-von Neumann computational approach imposes high requirements on specific characteristics of memristive devices. In this chapter, we first describe the electrical behavior of our newly developed Ta/Hf

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Optical Memristors: Review of Switching Mechanisms and New Computing Paradigmse analogue switching and learning properties of biological synapses has also emerged as a significant area of importance that has the potential to usher in a new generation of bio-inspired neuromorphic computing systems. Recently, there has been a drive towards the realization of memristor devices t

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Organic Memristive Devices and Organic Electrochemical Transistors as Promising Elements for Bio-insponents (Synapses and Neurons) allows basic brain functions such as learning and memorization. An efficient emulation of these computational concepts is possible only by overcoming the so-called von Neumann bottleneck, which limits the information processing capability of conventional systems. To th

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Catherine E. Graves,Can Li,Giacomo Pedretti,John Paul Strachan approach to the field of Light-Activated Tissue Regeneratio.Proceedings of the Light-Activated Tissue Regeneration and Therapy Conference covers issues such as the latest advances in the field and measurements including the determination of the mechanisms of light-activated tissue regeneration and