中文
相关论文

相关论文: Deep Learning Enabled Nanoscale X-ray Photoemissio…

200 篇论文

Circular dichroism spectroscopy is an essential technique for understanding molecular structure and magnetic materials, but spatial resolution is limited by the wavelength of light, and sensitivity sufficient for single-molecule…

Fluorescence microscopy has enabled a dramatic development in modern biology by visualizing biological organisms with micrometer scale resolution. However, due to the diffraction limit, sub-micron/nanometer features are difficult to…

图像与视频处理 · 电气工程与系统科学 2021-03-10 Varun Mannam , Yide Zhang , Xiaotong Yuan , Scott Howard

Dark field X-ray microscopy (DFXM) is an experimental technique employed to investigate material properties by probing their 'mesoscale,' or microscale structures, in a bulk-sensitive manner using hard X-rays at synchrotron radiation…

One of the frontiers in electron scattering is to couple ultrafast temporal resolution with highly localized probes to investigate the role of microstructure on material properties. Here, taking advantage of the unprecedented average…

应用物理 · 物理学 2019-06-07 Fu-Hao Ji , Daniel Durham , Andrew Minor , Pietro Musumeci , Jorge Navarro , Daniele Filippetto

The electronic, optical, and magnetic properties of quantum solids are determined by their low-energy (< 100 meV) many-body excitations. Dynamical characterization and manipulation of such excitations relies on tools that combine…

介观与纳米尺度物理 · 物理学 2018-03-28 E. Pomarico , I. Madan , G. Berruto , G. M. Vanacore , K. Wang , I. Kaminer , F. J. García de Abajo , F. Carbone

Controlled fabrication of nanopores in atomically thin two-dimensional material offers the means to create robust membranes needed for ion transport, nanofiltration, and DNA sensing. Techniques for creating nanopores have relied upon either…

Artificial Intelligence & Nanotechnology are promising areas for the future of humanity. While Deep Learning based Computer Vision has found applications in many fields from medicine to automotive, its application in nanotechnology can open…

计算机视觉与模式识别 · 计算机科学 2022-01-05 Rajagopal A , Nirmala V , Andrew J , Arun Muthuraj Vedamanickam.

By adjusting the incidence angle of incoming X-ray near the critical angle of X-ray total reflection, the photoelectron intensity is strongly modulated due to the variation of X-ray penetration depth. Photoelectron spectroscopy (PES)…

We report the development of an instrument combining an ultrafast, high-repetition-rate, polarization-tunable monochromatic extreme ultraviolet (XUV, 21.6 eV) beamline and a next-generation momentum microscope endstation. This setup enables…

The complex range of interactions between electrons and electromagnetic fields gave rise to countless scientific and technological advances. A prime example is photon-induced nearfield electron microscopy (PINEM), enabling the detection of…

The field of artificial intelligence based image enhancement has been rapidly evolving over the last few years and is able to produce impressive results on non-astronomical images. In this work we present the first application of Machine…

Nowadays, modern electron microscopes deliver images at atomic scale. The precise atomic structure encodes information about material properties. Thus, an important ingredient in the image analysis is to locate the centers of the atoms…

计算机视觉与模式识别 · 计算机科学 2017-09-13 Benjamin Berkels , Benedikt Wirth

Single-shot X-ray imaging of short-lived nanostructures such as clusters and nanoparticles near a phase transition or non-crystalizing objects such as large proteins and viruses is currently the most elegant method for characterizing their…

原子与分子团簇 · 物理学 2020-10-14 Thomas Stielow , Robin Schmidt , Christian Peltz , Thomas Fennel , Stefan Scheel

We present a novel approach for extracting 3D atomic-level information from transmission electron microscopy (TEM) images affected by significant noise. The approach is based on formulating depth estimation as a semantic segmentation…

计算机视觉与模式识别 · 计算机科学 2026-01-29 Matan Leibovich , Mai Tan , Ramon Manzorro , Adria Marcos-Morales , Sreyas Mohan , Peter A. Crozier , Carlos Fernandez-Granda

Scanning transmission electron microscopy (STEM) is a powerful tool to reveal the morphologies and structures of materials, thereby attracting intensive interests from the scientific and industrial communities. The outstanding spatial…

图像与视频处理 · 电气工程与系统科学 2024-09-26 Hanlei Zhang , Jincheng Bai , Xiabo Chen , Can Li , Chuanjian Zhong , Jiye Fang , Guangwen Zhou

This work is concerned with the following fundamental question in scientific machine learning: Can deep-learning-based methods solve noise-free inverse problems to near-perfect accuracy? Positive evidence is provided for the first time,…

图像与视频处理 · 电气工程与系统科学 2022-07-13 Martin Genzel , Ingo Gühring , Jan Macdonald , Maximilian März

Accurately measuring the size, morphology, and structure of nanoparticles is very important, because they are strongly dependent on their properties for many applications. In this paper, we present a deep-learning based method for…

Recent developments in x-ray science provide methods to probe deeply embedded mesoscale grain structures and spatially resolve them using dark field x-ray microscopy (DFXM). Extending this technique to investigate weak diffraction signals…

We demonstrate the potential of X-ray free-electron lasers (XFEL) to advancethe understanding of complex plasma dynamics by allowing for the first time nanometer and femtosecond resolution at the same time in plasma diagnostics. Plasma…

The application of PhotoEmission Electron Microscopy (PEEM) and Low Energy Electron Microscopy (LEEM) techniques to the study of the electronic and chemical structure of ferroelectric materials is reviewed. Electron optics in both…