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Ferroelectric tunnel junction devices based on ferroelectric thin films of solid solutions of hafnium dioxide can enable CMOS integration of ultra-low power ferroelectric devices with potential for memory and emerging computing schemes such…

We investigate a two-dimensional (2D) heterostructure consisting of few-layer direct bandgap ReS2, a thin h-BN layer and a monolayer graphene for application to various electronic devices. Metal-insulator-semiconductor (MIS)-type devices…

Mesoscale and Nanoscale Physics · Physics 2020-12-08 Bablu Mukherjee , Ryoma Hayakawa , Kenji Watanabe , Takashi Taniguchi , Shu Nakaharai , Yutaka Wakayama

We demonstrate a non-volatile magnetoelectric magnonic memory (MEMM) that enables fully electrical write/read via direct magnon-driven sensing in an insulating antiferromagnet. A fabricated SrIrO3/La-BiFeO3/SrIrO3 trilayer exhibits sub-100…

We demonstrate tunable solid state and flexible graphene field effect devices (FEDs) fabricated using a poly(methylmethacrylate) (PMMA) and lithium fluoride (LiF) composite dielectric. Increasing the concentration of LiF in the composite…

Mesoscale and Nanoscale Physics · Physics 2016-05-03 Arunandan Kumar , Priyanka Tyagi , Ritu Srivastava

Ferroelectric materials have remained one of the foci of condensed matter physics and materials science for over 50 years. In the last 20 years, the development of voltage-modulated scanning probe microscopy techniques, exemplified by…

Materials Science · Physics 2017-01-06 Rama K. Vasudevan , Nina Balke , Peter Maksymovych , Stephen Jesse , Sergei V. Kalinin

Neuromorphic computing circuits can be realized using memristors based on low-dimensional materials enabling enhanced metal diffusion for resistive switching. Here, we investigate memristive properties of vertically aligned MoS$_2$…

Developing electronic devices capable of emulating biological functions is essential for advancing brain-inspired computation paradigms such as neuromorphic computing. In recent years, two-dimensional materials have emerged as promising…

Ferroelectric materials with switchable spontaneous polarization underpin non-volatile memories, transistors, sensors, and emerging neuromorphic chips. Their performance and stability are governed by polarization dynamics and domain…

Materials Science · Physics 2026-03-20 Dongyu Bai , Ri He , Junxian Liu , Liangzhi Kou

Electrical control of superconductivity is critical for nanoscale superconducting circuits including cryogenic memory elements, superconducting field-effect transistors (FETs), and gate-tunable qubits. Superconducting FETs operate through…

Repeated off-chip memory accesses to DRAM drive up operating power for data-intensive applications, and SRAM technology scaling and leakage power limits the efficiency of embedded memories. Future on-chip storage will need higher density…

Emerging Technologies · Computer Science 2022-01-13 Lillian Pentecost , Alexander Hankin , Marco Donato , Mark Hempstead , Gu-Yeon Wei , David Brooks

The discovery of ferroelectric properties of binary oxides revitalized the interest in ferroelectrics and bridged the scaling gap between the state-of-the-art semiconductor technology and ferroelectric memories. However, before hitting the…

The non-destructive capacitance read-out of ferroelectric capacitors (FeCaps) based on doped HfO$_2$ metal-ferroelectric-metal (MFM) structures offers the potential for low-power and highly scalable crossbar arrays. This is due to a number…

Emerging Technologies · Computer Science 2025-08-13 Luca Fehlings , Muhtasim Alam Chowdhury , Banafsheh Saber Latibari , Soheil Salehi , Erika Covi

Memristor technology shows great promise for energy-efficient computing, yet it grapples with challenges like resistance drift and inherent variability. For filamentary Resistive RAM (ReRAM), one of the most investigated types of memristive…

As an emerging post-CMOS Field Effect Transistor, Magneto-Electric FETs (MEFETs) offer compelling design characteristics for logic and memory applications, such as high-speed switching, low power consumption, and non-volatility. In this…

Hardware Architecture · Computer Science 2023-12-11 Deniz Najafi , Mehrdad Morsali , Ranyang Zhou , Arman Roohi , Andrew Marshall , Durga Misra , Shaahin Angizi

High-speed, non-volatile tunability is critical for advancing reconfigurable photonic devices used in neuromorphic information processing, sensing, and communication. Despite significant progress in developing phase change and ferroelectric…

Mesoscale and Nanoscale Physics · Physics 2025-04-24 Jing Liang , Yuan Xie , Dongyang Yang , Shangyi Guo , Kenji Watanabe , Takashi Taniguchi , Jerry I. Dadap , David Jones , Ziliang Ye

Semiconductor research has shifted towards exploring two-dimensional (2D) materials as candidates for next-generation electronic devices due to the limitations of existing silicon technology. Transition Metal Dichalcogenides (TMDCs) stand…

Mesoscale and Nanoscale Physics · Physics 2024-09-12 Sameer Kumar Mallik

Atomic-scale ferroelectric thin films hold great promise for high-density, low-power applications but face stability and voltage scaling challenges at extreme thinness. Here, we demonstrate ferroelectricity in single-crystalline…

Materials Science · Physics 2025-06-27 Tong Jiang , Han Chen , Yubo Yuan , Xiang Xu , Junwei Cao , Hao Wang , Xuechun Sun , Junshuai Li , Yaqing Ma , Huaze Zhu , Wenbin Li , Wei Kong

Voltage driven magneto-electric (ME) switching of ferro-magnets has shown potential for future low-energy spintronic memories. In this paper, we first analyze two different ME devices viz. ME-MTJ and ME-XNOR device with respect to…

Emerging Technologies · Computer Science 2017-01-31 Akhilesh Jaiswal , Indranil Chakraborty , Kaushik Roy

Fluid ferroelectrics, a recently discovered class of liquid crystals that exhibit switchable, long-range polar order, offer opportunities in ultrafast electro-optic technologies, responsive soft matter, and next-generation energy materials.…

The conductive bridge non-volatile memory technology is an emerging way to replace traditional charge based memory devices for future neural networks and configurable logic applications. An array of the memory devices that fulfills logic…

Materials Science · Physics 2015-02-06 M. R. Latif , T. L. Nichol , M. Mitkova , D. A. Tenne , I. Csarnovics , S. Kokenyesi , A. Csik
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