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This paper proposes a simple, generic and robust method to extract the grains from experimental tridimensionnal images of granular materials obtained by X-ray tomography. This extraction has two steps: segmentation and splitting. For the…

Computer Vision and Pattern Recognition · Computer Science 2008-07-23 Vincent Tariel

Epitaxial graphene grown on SiC by the confinement controlled sublimation method is reviewed, with an emphasis on multilayer and monolayer epitaxial graphene on the carbon face of 4H-SiC and on directed and selectively grown structures…

The ability to create micro/nano patterns of organic self-assembled monolayers on semiconductor surfaces is crucial for fundamental studies and applications in a number of emerging fields in nanoscience. Here, we demonstrate the patterning…

Applied Physics · Physics 2020-01-06 Tianhan Liu , Timothy Keiper , Xiaolei Wang , Guang Yang , Daniel Hallinan , Jianhua Zhao , Peng Xiong

In medical image segmentation, supervised deep networks' success comes at the cost of requiring abundant labeled data. While asking domain experts to annotate only one or a few of the cohort's images is feasible, annotating all available…

Computer Vision and Pattern Recognition · Computer Science 2021-10-06 Devavrat Tomar , Behzad Bozorgtabar , Manana Lortkipanidze , Guillaume Vray , Mohammad Saeed Rad , Jean-Philippe Thiran

Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. Finding frequent item sets in databases is a crucial in data mining process of extracting association rules. Many algorithms were…

Databases · Computer Science 2010-03-23 M. S. Danessh , C. Balasubramanian , K. Duraiswamy

Thin and elongated filamentous structures, such as microtubules and actin filaments, often play important roles in biological systems. Segmenting these filaments in biological images is a fundamental step for quantitative analysis. Recent…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Yi Liu , Yichi Zhang

Training-free conditional diffusion provides a flexible alternative to task-specific conditional model training, but existing samplers often allocate computation inefficiently: independent guided trajectories can vary widely in quality, and…

Machine Learning · Statistics 2026-05-06 Andreas Makris , Paul Fearnhead , Chris Nemeth

Large area MoS2 and WS2 van der Waals epitaxial thin films with complete control over number of layers including monolayer is grown by pulsed laser deposition utilizing slower growth kinetics. The films grown on c-plane sapphire show…

Controlling the morphology of two-dimensional (2D) transition metal dichalcogenides (TMDs) plays a key role in their applications. Although chemical vapor deposition can achieve wafer-scale growth of 2D TMDs, a comprehensive theoretical…

Materials Science · Physics 2024-05-17 Samuel Aldana , Ion Spiridon , Lulin Wang , Hongzhou Zhang

Atomically thin PtSe2 films have attracted extensive research interests for potential applications in high-speed electronics, spintronics and photodetectors. Obtaining high quality, single crystalline thin films with large size is critical.…

Two-dimensional semiconductors such as MoS2 are an emerging material family with wide-ranging potential applications in electronics, optoelectronics and energy harvesting. Large-area growth methods are needed to open the way to the…

Understanding new superconductors requires high-quality epitaxial thin films to explore intrinsic electromagnetic properties, control grain boundaries and strain effects, and evaluate device applications. So far superconducting properties…

We show that atomically thin molybdenum disulfide (MoS2) crystals can grow without any underlying substrates into free-standing atomically-thin layers, maintaining their planar 2D form. Using this property, we present a new mechanism for 2D…

We report on the epitaxial growth and the characterization of thin FePt films and the subsequent patterning of magnetic lattice structures. These structures can be used to trap ultracold atoms for quantum simulation experiments. We use…

Atomic Physics · Physics 2018-09-28 A. L. La Rooij , S. Couet , M. C. van der Krogt , A. Vantomme , K. Temst , R. J. C. Spreeuw

Most analytic work to date on protostellar disks has focused on those in isolation from their environments. However, observations are now beginning to probe the earliest, most embedded phases of star formation, during which disks are…

Astrophysics · Physics 2009-11-13 Kaitlin M. Kratter , Christopher D. Matzner , Mark R. Krumholz , .

Document retrieval enables users to find their required documents accurately and quickly. To satisfy the requirement of retrieval efficiency, prevalent deep neural methods adopt a representation-based matching paradigm, which saves online…

Information Retrieval · Computer Science 2022-07-12 Mengxue Du , Shasha Li , Jie Yu , Jun Ma , Bin Ji , Huijun Liu , Wuhang Lin , Zibo Yi

We report the molecular beam epitaxy of Bi_1-xSb_x thin films ($0 \leq x \leq 1$) on (0001) sapphire substrates using a thin (Bi,Sb)$_2$Te$_3$ buffer layer. Characterization of the films using reflection high energy diffraction, x-ray…

The formation and subsequent growth of structural defects in an irradiated material can strongly influence the material's performance in technological and industrial applications. Predicting how the growth of defects affects material…

DNA, RNA and proteins are among the most important macromolecules in a living cell. These molecules are polymerized by molecular machines. These natural nano-machines polymerize such macromolecules, adding one monomer at a time, using…

Biological Physics · Physics 2013-01-01 Ajeet K. Sharma , Debashish Chowdhury

Directed assembly of block polymers is rapidly becoming a viable strategy for lithographic patterning of nanoscopic features. One of the key attributes of directed assembly is that an underlying chemical or topographic substrate pattern…

Soft Condensed Matter · Physics 2013-08-06 Jian Qin , Gurdaman S. Khaira , Yongrui Su , Grant P. Garner , Marc Miskin , Heinrich M. Jaeger , Juan J. de Pablo
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