English
Related papers

Related papers: High-Power Ferro-Electric Fast Reactive Tuner

200 papers

Frequency multipliers, a class of essential electronic components, play a pivotal role in contemporary signal processing and communication systems. They serve as crucial building blocks for generating high-frequency signals by multiplying…

Emerging Technologies · Computer Science 2024-01-01 Haotian Xu , Jianyi Yang , Cheng Zhuo , Thomas Kämpfe , Kai Ni , Xunzhao Yin

Parameter-efficient fine-tuning approaches have recently garnered a lot of attention. Having considerably lower number of trainable weights, these methods can bring about scalability and computational effectiveness. In this paper, we look…

Computation and Language · Computer Science 2023-02-23 Mohammad Akbar-Tajari , Sara Rajaee , Mohammad Taher Pilehvar

Wind power forecasting (WPF), as a significant research topic within renewable energy, plays a crucial role in enhancing the security, stability, and economic operation of power grids. However, due to the high stochasticity of…

Machine Learning · Computer Science 2025-04-16 Mingyi Zhu , Zhaoxin Li , Qiao Lin , Li Ding

We demonstrate a nonlinear metamaterial in microwave frequency regime with hysteresis effect and bistable states, which can be utilized as a remotely controllable micro second switching device. A varactor loaded split-ring resonator (SRR)…

Applied Physics · Physics 2017-05-23 Sinhara R Silva , Alexander D Shields , Jiangfeng Zhou

Subwavelength Mie resonators have enabled new classes of optical antennas1-4, photodetectors5,6, antireflection coatings7, and magnetic mirrors8 and can act as the basic meta-atoms constituents of low-loss dielectric metasurfaces2-4,8-10.…

Optics · Physics 2017-03-03 Tomer Lewi , Hayden A. Evans , Nikita A. Butakov , Jon A. Schuller

Ferromagnetic semiconductors play a crucial role in spintronic devices, enabling effective control of electron spin over charge. This study explores their unique properties, ongoing advancements in spin control, and potential integration…

Applied Physics · Physics 2024-02-01 Nazmul Hasan

We demonstrate spectrally-tunable Fabry-Perot bandpass filters operating across the MWIR by utilizing the phase-change material GeSbTe (GST) as a tunable cavity medium between two (Ge:Si) distributed Bragg reflectors. The induced refractive…

Optics · Physics 2020-06-05 Calum Williams , Nina Hong , Matthew Julian , Stephen Borg , Hyun Jung Kim

The exploration of ferroelectric phase transitions enables an in-depth understanding of ferroelectric switching and promising applications in information storage. However, controllably tuning the dynamics of ferroelectric phase transitions…

Materials Science · Physics 2023-10-13 Xin He , Yinchang Ma , Chenhui Zhang , Aiping Fu , Weijin Hu , Yang Xu , Bin Yu , Kai Liu , Hua Wang , Xixiang Zhang , Fei Xue

Altermagnets represent a novel magnetic phase with transformative potential for ultrafast spintronics, yet efficient control of their magnetic states remains challenging. We demonstrate an ultra-low-power electric-field control of…

Transfer learning based on full fine-tuning (FFT) of the pre-trained encoder and task-specific decoder becomes increasingly complex as deep models grow exponentially. Parameter efficient fine-tuning (PEFT) approaches using adapters…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Hayeon Jo , Hyesong Choi , Minhee Cho , Dongbo Min

The multiple ferroelectric polarization tuned by external electric field could be used to simulate the biological synaptic weight. Ferroelectric synaptic devices have two advantages compared with other reported ones: One is the intrinsic…

Applied Physics · Physics 2020-07-17 Bobo Tian , Ni Zhong , Chungang Duan

The Fast Fourier Transform (FFT) is a computationally intensive digital signal processing (DSP) function widely used in applications such as imaging, software-defined radio, wireless communication, instrumentation. In this paper, a…

Other Computer Science · Computer Science 2010-06-15 Ashish Raman , Anvesh Kumar , R. K. Sarin

A concept of an electrically tunable resonance detector of THz-frequency signals based on antiferromagnetic/heavy metal (AFM/HM) hetero-structure is proposed. The conversion of a THz-frequency input signal into DC voltage is done using the…

Strongly Correlated Electrons · Physics 2020-12-17 A. Safin , V. Puliafito , M. Carpentieri , G. Finocchio , S. Nikitov , P. Stremoukhov , A. Kirilyuk , V. Tyberkevych , A. Slavin

In this paper, a highly-efficient single-switch-regulated resonant wireless power receiver with hybrid modulation is proposed. To achieve both high efficiency and good output voltage regulation, phase shift and pulse width hybrid modulation…

Systems and Control · Electrical Eng. & Systems 2021-01-06 Kerui Li , Albert Ting Leung Lee , Siew-Chong Tan , Ron Shu Yuen Hui

We present a dynamically frequency tunable Fano resonance planar device composed of periodically asymmetric graphene nanodisk pair for the mid-infrared region. There are two kinds of modes in this structure, that is, the symmetric mode and…

Optics · Physics 2015-02-02 Zhengren Zhang , Xiaopeng Su , Yuancheng Fan , Pengfei Yin , Liwei Zhang , Xi Shi

Accelerator-based MeV ultrafast electron microscope (MUEM) has been proposed as a promising tool to study structural dynamics at the nanometer spatial scale and picosecond temporal scale. Here we report experimental tests of a prototype…

Rashba materials have appeared as an ideal playground for spin-to-charge conversion in prototype spintronics devices. Among them, $\alpha$-GeTe(111) is a non-centrosymmetric ferroelectric (FE) semiconductor for which a strong spin-orbit…

Ferroelectric field-effect transistors integrated on 2D semiconducting platforms are extremely relevant for low power electronics. Here, we propose and demonstrate a novel phase-change ferroelectric field effect transistor (PCFE-FET) for…

Applied Physics · Physics 2024-11-05 Sooraj Sanjay , Jalaja M. A , Navakanta Bhat , Pavan Nukala

Pretrained Language Models (PLMs) have become the de facto starting point for fine-tuning on downstream tasks. However, as model sizes continue to increase, traditional fine-tuning of all the parameters becomes challenging. To address this,…

Machine Learning · Computer Science 2024-07-16 Bharat Runwal , Tejaswini Pedapati , Pin-Yu Chen

This paper presents a novel methodology for fast simulation and analysis of transient heat transfer. The proposed methodology is suitable for real-time applications owing to (i) establishing the solution method from the viewpoint of…

Computational Engineering, Finance, and Science · Computer Science 2021-12-30 Jinao Zhang , Sunita Chauhan