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Most single image super-resolution (SR) methods are developed on synthetic low-resolution (LR) and high-resolution (HR) image pairs, which are simulated by a predetermined degradation operation, e.g., bicubic downsampling. However, these…

Image and Video Processing · Electrical Eng. & Systems 2021-10-22 Rui Ma , Johnathan Czernik , Xian Du

Laser machining is a highly flexible non-contact manufacturing technique that has been employed widely across academia and industry. Due to nonlinear interactions between light and matter, simulation methods are extremely crucial, as they…

Computational Engineering, Finance, and Science · Computer Science 2023-01-04 Razyeh Behbahani , Hamidreza Yazdani Sarvestani , Erfan Fatehi , Elham Kiyani , Behnam Ashrafi , Mikko Karttunen , Meysam Rahmat

Laser-induced electron diffraction is an evolving tabletop method, which aims to image ultrafast structural changes in gas-phase polyatomic molecules with sub-{\AA}ngstr\"om spatial and femtosecond temporal resolution. Here, we provide the…

The work describes the capabilities of Laser Scanning Microscopy (LSM) as a spatially resolved method of testing high_Tc materials and devices. The earlier results obtained by the authors are briefly reviewed. Some novel applications of the…

Pulsed-laser deposition (PLD) is one of the most promising techniques for the formation of complex-oxide heterostructures, superlattices, and well-controlled interfaces. The first part of this paper presents a review of several useful…

Other Condensed Matter · Physics 2011-07-19 H. M. Christen , G. Eres

We propose an improved photoassociation scheme to produce ultracold molecules in their vibronic ground state for the generic case where non-adiabatic effects facilitating transfer to deeply bound levels are absent. Formation of molecules is…

Atomic Physics · Physics 2008-10-28 Christiane P. Koch , Robert Moszynski

Molecular electronics and other technologies whose components comprise individual molecules have been pursued for half a century because the molecular scale represents the limit of miniaturisation of objects whose structure is tuneable for…

Single molecule localization microscopy (SMLM) techniques enable imaging biological samples well beyond the diffraction limit of light, but they vary significantly in their spatial and temporal resolutions. High-order statistical analysis…

Biological Physics · Physics 2016-03-15 Shachar Schidorsky , Xiyu Yi , Yair Razvag , Yonatan Golan , Shimon Weiss , Eilon Sherman

In this paper, a Line based Compressive Sensing (LCS) scheme is discussed and proposed for low power visual applications, in which image acquisition is performed in a line-by-line manner at the encoder side using same measurement operator.…

Image and Video Processing · Electrical Eng. & Systems 2020-01-08 Mansoor Ebrahim , Syed Hasan Adil , Daniyal Nawaz , Kamran Raza

We develop an integrated system of holographic optical trapping and multimodal nonlinear microscopy and perform simultaneous three-dimensional optical manipulation and non-invasive structural imaging of composite soft-matter systems. We…

Soft Condensed Matter · Physics 2015-05-20 Rahul P. Trivedi , Taewoo Lee , Kris A. Bertness , Ivan I. Smalyukh

We report an ultrafast, parallel and beyond-the-master micro-patterning technique for ultrathin (30 nm-400 nm) non-absorbing polymer films by diffraction of a laser light through a two dimensional periodic aperture. The redistribution of…

Soft Condensed Matter · Physics 2011-01-28 Ankur Verma , Ashutosh Sharma , Giridhar U. Kulkarni

The characteristics of an imaging system formed by a slab of a lossy left-handed material (LHM) are studied. The transfer function of the LHM imaging system is written in an appropriate product form with each term having a clear physical…

Optics · Physics 2009-11-10 Linfang Shen , Sailing He

Machine learning interatomic potentials (MLIPs) are routinely used atomic simulations, but generating databases of atomic configurations used in fitting these models is a laborious process, requiring significant computational and human…

Materials Science · Physics 2022-07-26 Connor Allen , Albert P. Bartók

Originally developed technique based on generation of plasma-cluster flux emitted from cathode spots at surface of an integrally cold cathode has been applied for deposition of niobium superconductive (thick) film materials. Possibility for…

Materials Science · Physics 2018-02-12 K. Pavlov , A. Savin , J. Laurila , P. Vuoristo , K. Gorchakov , S. Gorchakova

Infrared spectroscopy enables rapid, non destructive analysis of chemical and material properties, yet high dimensional signals and overlapping bands hinder conventional chemometric methods. Large language models (LLMs), with strong…

Artificial Intelligence · Computer Science 2025-09-03 Zujie Xie , Zixuan Chen , Jiheng Liang , Xiangyang Yu , Ziru Yu

Among very low disorder systems of condensed matter, the high mobility two-dimensional electron gas confined in gallium arsenide/aluminum gallium arsenide heterostructures holds a privileged position as platform for the discovery of new…

Mesoscale and Nanoscale Physics · Physics 2013-09-12 Michael J. Manfra

The on-demand tailoring of light's spatial shape is of great relevance in a wide variety of research areas. Computer-controlled devices, such as Spatial Light Modulators (SLMs) or Digital Micromirror Devices (DMDs), offer a very accurate,…

A scanning tunneling microscope (STM) can do more than atomic imaging and manipulation. Its tunneling current can also be used for the excitation of light, converting electron energy to photon energy. STM based single-molecule…

Optics · Physics 2019-01-01 Yao Zhang , Yang Zhang , Zhenchao Dong

In present study we exploited Langmuir technique to produce self-assembled arrays composed of monodisperse iron oxide nanoparticles 10 nm and 20 nm in diameter and of their binary mixture. A combination of in-situ X-ray reflectometry and…

Soft Condensed Matter · Physics 2019-01-28 V. Ukleev , A. Khassanov , I. Snigireva , O. Konovalov , M. Dudnik , I. Dubitskiy , A. Vorobiev

Over the recent years, there has been an extensive adoption of Machine Learning (ML) in a plethora of real-world applications, ranging from computer vision to data mining and drug discovery. In this paper, we utilize ML to facilitate…

Materials Science · Physics 2022-02-10 Ayush Arunachalam , S. Novia Berriel , Parag Banerjee , Kanad Basu
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