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Real-world deployment of computer vision systems, including in the discovery processes of biomedical research, requires causal representations that are invariant to contextual nuisances and generalize to new data. Leveraging the internal…

Computer Vision and Pattern Recognition · Computer Science 2023-06-22 Wolfgang M. Pernice , Michael Doron , Alex Quach , Aditya Pratapa , Sultan Kenjeyev , Nicholas De Veaux , Michio Hirano , Juan C. Caicedo

The phenomenon of periodic orbit scarring of eigenstates of classically chaotic systems is attracting increasing attention. Scarring is one of the most important "corrections" to the ideal random eigenstates suggested by random matrix…

chao-dyn · Physics 2009-08-14 L. Kaplan , E. J. Heller

In this paper the transmission of electromagnetic waves through a one-dimensional lossy photonic crystal consisting of layers with negative and positive refractive indices is investigated. The behavior and characteristics of the bandwidth,…

Materials Science · Physics 2012-11-02 Alireza Aghajamali , Mahmood Barati

Exposure of metal surfaces to multiple ultrashort laser pulses under certain conditions leads to the formation of well-defined periodic surface structures. We show how the period of such structures in steel can be tuned over a wide range by…

The differential evolution indicators, recently introduced for imaging mechanical evolution in highly scattering solids, is examined in a laboratory setting with the focus on spatiotemporal tracking of an advancing damage zone in an elastic…

Applied Physics · Physics 2021-06-30 Fatemeh Pourahmadian

We report a fast, efficient and credible statistical reconstruction of any two-phase patterns of islands of miscellaneous shapes and poly-dispersed in sizes. In the proposed multi-scale approach called a weighted doubly-hybrid, two…

Statistical Mechanics · Physics 2015-03-24 W. Olchawa , R. Piasecki

By employing the equivalent of a knife-edge measurement for matter-waves, we are able to characterize ultra-low momentum widths. We measure a momentum width corresponding to an effective temperature of 0.9 $\pm$ 0.2 nK, limited only by our…

Atomic Physics · Physics 2018-08-15 Ramón Ramos , David Spierings , Shreyas Potnis , Aephraim M. Steinberg

The elastoplastic behavior of a two-phase stainless steel alloy is explored at the crystal scale for five levels of stress biaxiality. The crystal lattice (elastic) strains were measured with neutron diffraction using tubular samples…

Materials Science · Physics 2017-07-24 Andrew C. Poshadel , Michael Gharghouri , Paul R. Dawson

The inner structure of a material is called microstructure. It stores the genesis of a material and determines all its physical and chemical properties. While microstructural characterization is widely spread and well known, the…

Computer Vision and Pattern Recognition · Computer Science 2018-02-16 Seyed Majid Azimi , Dominik Britz , Michael Engstler , Mario Fritz , Frank Mücklich

The periodogram is a popular tool that tests whether a signal consists only of noise or if it also includes other components. The main issue of this method is to define a critical detection threshold that allows identification of a…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-19 R. Vio , P. Andreani , A. Biggs

The damage detection problem becomes a more difficult task when the intrinsically nonlinear behavior of the structures and the natural data variation are considered in the analysis because both phenomena can be confused with damage if…

Computational Engineering, Finance, and Science · Computer Science 2024-09-26 Luis Gustavo Gioacon Villani , Samuel da Silva , Americo Cunha , Michael D. Todd

Critical infrastructure, such as transport networks and bridges, are systematically targeted during wars and suffer damage during extensive natural disasters because it is vital for enabling connectivity and transportation of people and…

This paper presents real-time vibration based identification technique using measured frequency response functions(FRFs) under random vibration loading. Artificial Neural Networks (ANNs) are trained to map damage fingerprints to damage…

Machine Learning · Computer Science 2017-03-29 Divya Shyam Singha , G. B. L. Chowdarya , D Roy Mahapatraa

Generalized dimensions of multifractal measures are usually seen as static objects, related to the scaling properties of suitable partition functions, or moments of measures of cells. When these measures are invariant for the flow of a…

Dynamical Systems · Mathematics 2019-10-02 Théophile Caby , Davide Faranda , Giorgio Mantica , Sandro Vaienti , Pascal Yiou

Utilizing discrete phase distribution to fit continuous phase distribution has been a primary routine for designing metasurfaces. In the existing method, the validation of the discrete designs is guaranteed only by using the sub-wavelength…

Optics · Physics 2017-11-09 Wenwei Liu , Zhancheng Li , Hua Cheng , Shuqi Chen , Jianguo Tian

Fracture mechanics is crucial for many fields of engineering, as precisely predicting failure of structures and parts is required for efficient designs. The simulation of failure processes is, from a mechanical and a numerical point of…

Materials Science · Physics 2022-06-15 Sebastian Pech , Markus Lukacevic , Josef Füssl

Review of selected fundamental topics on the interaction between phase transformations, fracture, and other structural changes in inelastic materials is presented. It mostly focuses on the concepts developed in the author's group over last…

Materials Science · Physics 2021-08-24 Valery I. Levitas

The diffraction pattern of a single non-periodic compact object, such as a molecule, is continuous and is proportional to the square modulus of the Fourier transform of that object. When arrayed in a crystal, the coherent sum of the…

To this date the safety assessment of materials, used for example in the nuclear power sector, commonly relies on a fracture mechanical analysis utilizing macroscopic concepts, where a global load quantity K or J is compared to the…

Machine Learning · Computer Science 2024-03-28 Johannes Rosenberger , Johannes Tlatlik , Sebastian Münstermann

Traditionally, phase transitions are explored using a combination of macroscopic functional characterization and scattering techniques, providing insight into average properties and symmetries of the lattice but local atomic level…

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