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It is now well established that the homogenization of a periodic array of parallel dielectric fibers with suitably scaled high permittivity can lead to a (possibly) negative frequency-dependent effective permeability. However this result…

Analysis of PDEs · Mathematics 2017-06-20 Guy Bouchitté , Christophe Bourel , Didier Felbacq

Purely organic materials with negative and near-zero dielectric permittivity can be easily fabricated. Here we develop a theory of nonlinear non-steady-state organic plasmonics with strong laser pulses. The bistability response of the…

Optics · Physics 2015-10-02 B. D. Fainberg , G. Li

Combining topology and plasmonics paradigms in nanocolloidal systems may enable new means of pre-engineering desired composite material properties. Here we design and realize orientationally ordered assemblies of noble metal nanoparticles…

Soft Condensed Matter · Physics 2016-12-01 Ye Yuan , Ivan I. Smalyukh

The spectral response of a plasmonic nanostructure may heavily depend on the refractive index of its surroundings. The key idea of this paper is to control this response by coherent optical means, i.e. with an optically controlled…

Freestanding photonic crystals can be used to trap both light and mechanical vibrations. These "optomechanical crystal" structures have already been experimentally demonstrated to yield strong coupling between a photon mode and a phonon…

Optics · Physics 2013-12-03 Michael Schmidt , Vittorio Peano , Florian Marquardt

We investigated the plasmonic modes in a two-dimensional quasicrystalline array of metal nanoparticles. The polarization of the modes is in the array plane. A simplified eigen-decomposition method is presented with the help of rotational…

Optics · Physics 2012-12-11 Zi-Lan Deng , Jian-Wen Dong , He-Zhou Wang

Atomically thin layered two-dimensional materials, including transition-metal dichacolgenide (TMDC) and black phosphorus (BP), (1) have been receiving much attention, because of their promising physical properties and potential applications…

Materials Science · Physics 2016-02-17 Qi Feng , Faguang Yan , Wengang Luo , Kaiyou Wang?

The Ovonic Phase Change Memory is critical in the quest to meet the increasing commercial needs for new information systems. The important paper of DerChang Kau et al. [1], describing a stackable cross point phase change memory, resulting…

General Physics · Physics 2011-07-29 Stanford R. Ovshinsky

Unipolar devices constructed from ferromagnetic semiconducting materials with variable magnetization direction are shown theoretically to behave very similarly to nonmagnetic bipolar devices such as the p-n diode and the bipolar (junction)…

Materials Science · Physics 2009-10-31 M. E. Flatte , G. Vignale

The multiferroic materials, which coexist magnetism, ferroelectric, and ferrovalley, have broad practical application prospects in promoting the miniaturization and integration of spintronic and valleytronic devices. However, it is rare…

Materials Science · Physics 2025-02-26 Chao Wu , Hanbo Sun , Pengqiang Dong , Yin-Zhong Wu , Ping Li

Wave-based platforms for novel unconventional computing approaches like neuromorphic computing require a well-defined, but adjustable flow of wave information combined with non-volatile data storage elements to implement weights which allow…

Mesoscale and Nanoscale Physics · Physics 2025-05-19 H. Mortada , R. Verba , Q. Wang , P. Pirro , A. Hamadeh

Advanced artificial intelligence (AI) algorithms, particularly those based on artificial neural networks, have garnered significant attention for their potential applications in areas such as image recognition and natural language…

Optics · Physics 2025-03-03 Long Huang , Jianping Yao

Plasmonic waveguides provide an integrated platform to develop efficient nanoscale ultrafast photonic devices. Theoretical models that describe nonlinear optical phenomena in plasmonic waveguides, usually, only incorporate bulk…

The human brain, with its energy-efficient and massively parallel architecture seamlessly integrates memory and computation. Its topology and functionality serve as the inspiration for the field of neuromorphic computing. Realizing…

We present a design-scheme for ultra-low power neuromorphic hardware using emerging spin-devices. We propose device models for 'neuron', based on lateral spin valves and domain wall magnets that can operate at ultra-low terminal voltage of…

Disordered Systems and Neural Networks · Physics 2012-07-19 Mrigank Sharad , Charles Augustine , Georgios Panagopoulos , Kaushik Roy

Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-power neural computing platforms. However, existing work on such emerging neuromorphic architectures have either focused on solely mimicking…

Emerging Technologies · Computer Science 2016-11-15 Abhronil Sengupta , Yong Shim , Kaushik Roy

The nonlinear magneto-plasmonics aims to utilize plasmonic excitations to control the mechanisms and taylor the efficiencies of the non-linear light frequency conversion at the nanoscale. We investigate the mechanisms of magnetic second…

Considering two-level media in the array of weakly coupled nano-cavities, we reveal a variety of dynamical regimes, such as diffusion, self-trapping, soliton, and breathers for the wave-packets in the presence of photon tunneling processes…

Mesoscale and Nanoscale Physics · Physics 2014-09-11 E. S. Sedov , A. P. Alodjants , S. M. Arakelian , Y. -L. Chuang , Y. Y. Lin , W. -X. Yang , R. -K. Lee

High-dimensional nonlinear dynamical systems including neural networks can be utilized as a computational resource for information processing. In this sense, nonlinear wave systems are good candidate for such a computational resource. Here,…

Applied Physics · Physics 2019-07-30 Satoshi Sunada , Atsushi Uchida

Magnetic domain walls are information tokens in both logic and memory devices, and hold particular interest in applications such as neuromorphic accelerators that combine logic in memory. Here, we show that devices based on the electrical…

Disordered Systems and Neural Networks · Physics 2020-01-03 Saima A Siddiqui , Sumit Dutta , Astera Tang , Luqiao Liu , Caroline A Ross , Marc A Baldo
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