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The integration of silicon photonics (SiPh) and phase change materials (PCMs) has created a unique opportunity to realize adaptable and reconfigurable photonic systems. In particular, the nonvolatile programmability in PCMs has made them a…

Emerging Technologies · Computer Science 2023-03-29 Amin Shafiee , Benoit Charbonnier , Sudeep Pasricha , Mahdi Nikdast

Truly polymorphic circuits, whose functionality/circuit behavior can be altered using a control variable, can provide tremendous benefits in multi-functional system design and resource sharing. For secure and fault tolerant hardware designs…

Hardware Architecture · Computer Science 2018-07-05 Naveen Kumar Macha , Sandeep Geedipally , Bhavana Repalle , Md Arif Iqbal , Wafi Danesh , Mostafizur Rahman

Digital In-memory computing improves energy efficiency and throughput of a data-intensive process, which incur memory thrashing and, resulting multiple same memory accesses in a von Neumann architecture. Digital in-memory computing involves…

Hardware Architecture · Computer Science 2021-08-11 Veerendra S Devaraddi , Joycee M. Mekie

Neuromorphic devices have gained significant attention as potential building blocks for the next generation of computing technologies owing to their ability to emulate the functionalities of biological nervous systems. The essential…

The increasing demand for high-density data storage leads to an increasing interest in novel memory concepts with high scalability and the opportunity of storing multiple bits in one cell. A promising candidate is the redox-based resistive…

We present a hybrid device platform for creating an electrically reconfigurable metasurface formed by the integration of plasmonic nanostructures with phase-change material germanium antimony telluride (GST). By changing the phase of GST…

Synaptic dynamics, such as long- and short-term plasticity, play an important role in the complexity and biological realism achievable when running neural networks on a neuromorphic IC. For example, they endow the IC with an ability to…

Applications for noisy intermediate-scale quantum computing devices rely on the efficient entanglement of many qubits to reach a potential quantum advantage. Although entanglement is typically generated using two-qubit gates, direct control…

Quantum Physics · Physics 2023-04-18 Niklas J. Glaser , Federico Roy , Stefan Filipp

We report resistive switching in voltage biased point contacts (PCs) based on series of van der Waals transition metals tellurides (TMTs) such as MeTe2 (Me=Mo, W) and TaMeTe4 (Me= Ru, Rh, Ir). The switching occurs between a low resistive…

Mesoscale and Nanoscale Physics · Physics 2021-08-25 Yu. G. Naidyuk , D. L. Bashlakov , O. E. Kvitnitskaya , B. R. Piening , G. Shipunov , D. V. Efremov , S. Aswartham , B. Büchner

Heat transfer involving phase change is computationally intensive due to moving phase boundaries, nonlinear computations, and time step restrictions. This paper presents a quantum lattice Boltzmann method (QLBM) for simulating heat transfer…

Quantum Physics · Physics 2025-09-29 Christopher L. Jawetz , Zhixin Song , Spencer H. Bryngelson , Alexander Alexeev

Phase change superlattice is one of the emerging material technologies for ultralow-power phase change memories. However, the resistance switching mechanism of phase change superlattice is still hotly debated. Early electrical measurements…

Materials Science · Physics 2022-02-21 Bowen Li , Longlong Xu , Yuzheng Guo , Huanglong Li

Gradual switching between multiple resistance levels is desirable for analog in-memory computing using resistive random-access memory (RRAM). However, the filamentary switching of $HfO_x$-based conventional RRAM often yields only two stable…

The interfacial phase-change memory (iPCM) GeTe/Sb2Te3, promising candidates for the next generation non-volatile random-access memories, exhibits fascinating topological properties. Depending on the atomic-layer-stacking sequence of the…

Materials Science · Physics 2017-12-20 Jinwoong Kim , Jeongwoo Kim , Young-Sun Song , Ruqian Wu , Seung-Hoon Jhi , Nicholas Kioussis

Abstract: Bionic learning with fused sensing, memory and processing functions outperforms artificial neural networks running on silicon chips in terms of efficiency and footprint. However, digital hardware implementation of bionic learning…

Emerging Technologies · Computer Science 2022-02-22 Shijie Wang , Xi Chen , Chao Zhao , Yuxin Kong , Baojun Lin , Yongyi Wu , Zhaozhao Bi , Ziyi Xuan , Tao Li , Yuxiang Li , Wei Zhang , En Ma , Zhongrui Wang , Wei Ma

Superconducting electronics are among the most promising alternatives to conventional CMOS technology thanks to the ultra-fast speed and ultra-high energy efficiency of the superconducting devices. Having a cryogenic control processor is…

Emerging Technologies · Computer Science 2023-09-29 Shamiul Alam , Dana S. Rampini , Bakhrom G. Oripov , Adam N. McCaughan , Ahmedullah Aziz

Understanding and controlling phase transitions is a fundamental part of physics and has been central to many technological revolutions, from steam engines to field-effect transistors. At present, there is strong interest in materials with…

Mesoscale and Nanoscale Physics · Physics 2026-02-13 Nicolò D'Anna , Nareg Ghazikhanian , Katherine Matthews , Daseul Ham , Su Yong Lee , Alex Frano , Ivan K. Schuller , Oleg Shpyrko

One of the biggest challenges in implementation of Quantum circuits or Photonic Integrated Circuits in general is the inability to create efficient relay devices due to small decoherence time, high delays and poor interconnections that…

Applied Physics · Physics 2017-09-20 Anshika Upadhyay

Programmable photonic integrated circuits (PICs) offer a unique opportunity to create a flexible platform, akin to electronic field programmable gate array (FPGA). These photonic PGAs can implement versatile functionalities for applications…

Leveraging the latent heat of phase change materials (PCMs) can reduce the peak temperatures and transient variations in temperature in electronic devices. But as the power levels increase, the thermal conduction pathway from the heat…

Computational Engineering, Finance, and Science · Computer Science 2025-02-04 Meghavin Bhatasana , Amy Marconnet

This paper proposes a computationally efficient simulation strategy for cold thermal energy storage (TES) systems based on phase change material (PCM). Taking as a starting point the recent design of a TES system based on PCM, designed to…

Systems and Control · Electrical Eng. & Systems 2024-02-07 G. Bejarano , M. Vargas , M. G. Ortega , F. Castaño , J. E. Normey-Rico
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