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Much effort has been devoted to device and materials engineering to realize nanoscale resistance random access memory (RRAM) for practical applications, but there still lacks a rational physical basis to be relied on to design scalable…

Mesoscale and Nanoscale Physics · Physics 2017-04-12 Yang Lu , Jong Ho Lee , I-Wei Chen

Achieving optical operation of logic elements, especially those that involve 2D layers, can open the long sought era of optical computing. However, the efficient optical modulation of the electronic properties of 2D materials including…

Applied Physics · Physics 2022-06-22 D. Kundys , A. Cascales , A. S. Makhort , H. Majjad , F. Chevrier , B. Doudin , A. Fedrizzi , B. Kundys

Photon echo is a fundamental tool for the manipulation of electromagnetic fields. Unavoidable spontaneous emission noise is generated in this process due to the strong rephasing pulse, which limits the achievable signal-to-noise ratio and…

Quantum Physics · Physics 2021-07-22 You-Zhi Ma , Ming Jin , Duo-Lun Chen , Zong-Quan Zhou , Chuan-Feng Li , Guang-Can Guo

Despite the impressive search rate of one key per clock cycle, the update stage of a random-access-memory-based content-addressable-memory (RAM-based CAM) always suffers high latency. Two primary causes of such latency include: (1) the…

Hardware Architecture · Computer Science 2018-06-28 Xuan-Thuan Nguyen , Trong-Thuc Hoang , Hong-Thu Nguyen , Katsumi Inoue , Cong-Kha Pham

With the imminent slowing down of DRAM scaling, Phase Change Memory (PCM) is emerging as a lead alternative for main memory technology. While PCM achieves low energy due to various technology-specific advantages, PCM is significantly slower…

Hardware Architecture · Computer Science 2015-04-17 Hamza Bin Sohail , Balajee Vamanan , T. N. Vijaykumar

Quantum computing, ultra-low-noise sensing, and high-energy physics experiments often rely on superconducting circuits or semiconductor qubits and devices operating at deep cryogenic temperatures (4K and below). Photonic integrated circuits…

Dynamic Random Access Memory (DRAM) is the de-facto choice for main memory devices due to its cost-effectiveness. It offers a larger capacity and higher bandwidth compared to SRAM but is slower than the latter. With each passing generation,…

Hardware Architecture · Computer Science 2022-01-19 Kaustav Goswami , Hemanta Kumar Mondal , Shirshendu Das , Dip Sankar Banerjee

This paper reviews memory technologies used in Field-Programmable Gate Arrays (FPGAs) for neuromorphic computing, a brain-inspired approach transforming artificial intelligence with improved efficiency and performance. It focuses on the…

Hardware Architecture · Computer Science 2025-02-25 Dexter Le , Baran Arig , Murat Isik , I. Can Dikmen , Teoman Karadag

Compact, non-volatile optical switches on silicon platforms are essential for reconfigurable photonics, but the strong anisotropy of silicon waveguides leads to polarization-dependent performance. In this paper, we propose a…

Optics · Physics 2025-08-29 Fangfa Bao , Jiakai Ruan , Weijia Li , Wei Zhang , Guoxiang Wang , Xiang Shen , Yixiao Gao

We present an integrated magneto-photonic device for all-optical switching of non-volatile multi-bit spintronic memory. The bits are based on stand-alone magneto-tunnel junctions which are perpendicularly magnetized with all-optically…

Two classes of Phase Change Materials (PCMs) have emerged as the best candidates for applications requiring the fast reading and writing of data: GeTe-Sb$_{2}$Te$_{3}$ pseudobinary alloys (group 1) and doped Sb-Te compounds near the…

Materials Science · Physics 2025-10-21 Zhipeng Huang , Xinxin Cheng , Hazem Daoud , Wen-Xiong Song , R. J. Dwayne Miller , R. Kramer Campen

All-optical and fully reconfigurable diffractive optical neural network (DONN) architectures are promising for high-throughput and energy-efficient machine learning (ML) hardware accelerators for broad applications. However, current device…

Optics · Physics 2024-08-05 Ruiyang Chen , Cunxi Yu , Weilu Gao

Although we may be at the end of Moore's law, lowering chip power consumption is still the primary driving force for the designers. To enable low-power operation, we propose a resonant energy recovery static random access memory (SRAM). We…

Emerging Technologies · Computer Science 2020-10-06 Riadul Islam , Biprangshu Saha , Ignatius Bezzam

Two dimensional transition metal dichalcogenides exhibit strong excitonic responses, direct bandgaps, and remarkable nonlinear optical properties, making them highly attractive for integrated photonic, optoelectronic, and quantum…

The reversible phase transition between orthorhombic and cubic phases is demonstrated in all-inorganic perovskite CsPbIBr2 grown by a dual-source vapor-deposition method. The phase transition is actuated via heating and moisture exposure.…

Applied Physics · Physics 2018-12-24 Chen Zou , Jiajiu Zheng , Cheng Chang , Arka Majumdar , Lih Y. Lin

Vanadium dioxide (VO2) is a phase change material that can reversibly change between high and low resistivity states through electronic and structural phase transitions. Thus far, VO2 memory devices have essentially been volatile at room…

Modern data-intensive applications demand memory solutions that deliver high-density, low-power, and integrated computational capabilities to reduce data movement overhead. This paper presents the use of Gain-Cell embedded DRAM (GC-eDRAM) -…

Emerging Technologies · Computer Science 2025-07-01 Barak Hoffer , Shahar Kvatinsky

Structural colors generated due to light scattering from static all-dielectric metasurfaces have successfully enabled high-resolution, high-saturation, and wide-gamut color printing applications. Despite recent advances, most demonstrations…

In this study, we proposed and demonstrated a self-rectifying property of silicon nitride (Si3N4)-based resistive random access memory device by employing p-type silicon (p-Si) as bottom electrode. The RRAM devices consisted of…

Materials Science · Physics 2016-05-20 Min Ju Yun , Sungho Kim , Hee-Dong Kim

Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming current limitations of modern computing architectures based on…

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