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This paper is concerned with the problem of continuous-time nonlinear filtering for stochastic processes on a compact and connected matrix Lie group without boundary, e.g. SO(n) and SE(n), in the presence of real-valued observations. This…

Optimization and Control · Mathematics 2015-10-06 Chi Zhang , Amirhossein Taghvaei , Prashant G. Mehta

We address the use of optical parametric oscillator (OPO) to counteract phase-noise in quantum optical communication channels, and demonstrate reduction of phase diffusion for coherent signals travelling through a suitably tuned OPO. In…

Quantum Physics · Physics 2020-04-29 Simone Cialdi , Edoardo Suerra , Stefano Olivares , Stefano Capra , Matteo G. A. Paris

We present a scheme for tuning and controlling nano mechanical resonators by subjecting them to electrostatic gradient fields, provided by nearby tip electrodes. We show that this approach enables access to a novel regime of optomechanics,…

Quantum Physics · Physics 2014-03-06 S. Rips , I. Wilson-Rae , M. J. Hartmann

This paper is concerned with a recently developed paradigm for population-based optimization, termed particle filter optimization (PFO). This paradigm is attractive in terms of coherence in theory and easiness in mathematical analysis and…

Machine Learning · Statistics 2018-11-26 Bin Liu , Yaochu Jin

A silicon physically unclonable function (PUF) is considered to be one of the key security system solutions for local devices in an era in which the internet is pervasive. Among many proposals, a PUF using ring oscillators (RO-PUF) has the…

Cryptography and Security · Computer Science 2017-07-07 Tetsufumi Tanamoto , Shinich Yasuda , Satoshi Takaya , Shinobu Fujita

Traditional stochastic optimal control methods that attempt to obtain an optimal feedback policy for nonlinear systems are computationally intractable. In this paper, we derive a decoupling principle between the open loop plan, and the…

Systems and Control · Computer Science 2019-02-28 Karthikeya S Parunandi , Suman Chakravorty

We present a method for analyzing the phase noise of oscillators based on feedback driven high quality factor resonators. Our approach is to derive the phase drift of the oscillator by projecting the stochastic oscillator dynamics onto a…

Pattern Formation and Solitons · Physics 2015-10-28 Eyal Kenig , M. C. Cross

Optical parametric oscillators (OPOs) are widely utilized in photonics as classical and quantum light sources. Conventional OPOs produce co-propagating signal and idler waves that can be either degenerately or non-degenerately…

Optics · Physics 2025-05-05 Fengyan Yang , Jiacheng Xie , Yiyu Zhou , Yubo Wang , Chengxing He , Yu Guo , Hong X. Tang

Polar dielectric nanoresonators can support hybrid photon-phonon modes termed surface phonon polaritons with lengthscales below the diffraction limit. In the deep sub-wavelength regime the optical response of these systems was recently…

Mesoscale and Nanoscale Physics · Physics 2020-06-11 C. R. Gubbin , S. De Liberato

Topological mechanical metamaterials translate condensed matter phenomena, like non-reciprocity and robustness to defects, into classical platforms. At small scales, topological nanoelectromechanical metamaterials (NEMM) can enable the…

Applied Physics · Physics 2019-03-06 Jinwoong Cha , Kun Woo Kim , Chiara Daraio

Phase reduction is a well-established technique used to analyze the timing of oscillations in response to weak external inputs. In the preceding decades, a wide variety of results have been obtained for weakly perturbed oscillators that…

Dynamical Systems · Mathematics 2021-01-15 Dan Wilson

Controlling nonlinear effects in micro- and nano-electro-mechanical systems is essential for unlocking their full potential in sensing, signal processing, and frequency control. In this study, we develop a voltage-dependent Hamiltonian…

Mesoscale and Nanoscale Physics · Physics 2026-02-17 Narges Tarakameh Samani , Farhad Shahbazi , Mehdi Abdi

Nanomagnetic oscillator is a key component for radio-frequency (RF) signal generation in many nano-scale spintronic devices. However, the actuation mechanisms of nanomagnetic oscillators are mostly current-based, which is energy inefficient…

Applied Physics · Physics 2018-12-07 Qianchang Wang , Yiheng Li , Andres Chaves , Joseph Schneider , Jin-Zhao Hu , Greg Carman

We report on experimental demonstration of a new type of nanoelectromechanical resonators based on black phosphorus crystals. Facilitated by a highly efficient dry transfer technique, crystalline black phosphorus flakes are harnessed to…

Mesoscale and Nanoscale Physics · Physics 2015-04-07 Zenghui Wang , Hao Jia , Xuqian Zheng , Rui Yang , Zefang Wang , G. J. Ye , X. H. Chen , Jie Shan , Philip X. -L. Feng

The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Optimization (OFO) is a feedback real-time control method that…

Systems and Control · Electrical Eng. & Systems 2025-12-08 Lukas Ortmann , Jean Maeght , Patrick Panciatici , Florian Dörfler , Saverio Bolognani

Location of non-stationary forced oscillation (FO) sources can be a challenging task, especially in cases under resonance condition with natural system modes, where the magnitudes of the oscillations could be greater in places far from the…

Systems and Control · Electrical Eng. & Systems 2022-03-22 Pablo Gill Estevez , Pablo Marchi , Francisco Messina , Cecilia Galarza

We describe a new opto-electronic device with time-delayed feedback that uses a Mach-Zehnder interferometer as passive nonlinearity and a semiconductor laser as a current-to-optical-frequency converter. Bandlimited feedback allows tuning of…

Chaotic Dynamics · Physics 2009-11-10 J. N. Blakely , Lucas Illing , Daniel J. Gauthier

Optomechanical transduction is demonstrated for nanoscale torsional resonators evanescently coupled to optical microdisk whispering gallery mode resonators. The on-chip, integrated devices are measured using a fully fiber-based system,…

Mesoscale and Nanoscale Physics · Physics 2013-05-14 P. H. Kim , C. Doolin , B. D. Hauer , A. J. R. MacDonald , M. R. Freeman , P. E. Barclay , J. P. Davis

Nowadays nanotechnology allows to scale-down various important devices (sensors, chips, fibres, etc), and, thus, opens up new horizon for their applications. Nevertheless, the efficiency most of them is still based on the fundamental…

Materials Science · Physics 2010-08-13 Andrey E. Miroshnichenko , Sergej Flach , Yuri S. Kivshar

Fourier neural operators (FNOs) are a recently introduced neural network architecture for learning solution operators of partial differential equations (PDEs), which have been shown to perform significantly better than comparable deep…