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In the bulk, LaCoO3 (LCO) is a paramagnet, yet in tensile strained thin films at low temperature ferromagnetism (FM) is observed, and its origin remains unresolved. Polarized neutron reflectometry (PNR) is a powerful tool to determine the…

Predicting measurement outcomes from an underlying structure often follows directly from fundamental physical principles. However, a fundamental challenge is posed when trying to solve the inverse problem of inferring the underlying…

Here we report on a feasibility study aiming to explore the potential of Polarized Neutron Reflectometry (PNR) for detecting the inverse proximity effect in a single superconducting/ferromagnetic bilayer. Experiments, conducted on the…

Strongly Correlated Electrons · Physics 2013-10-22 Yu. N. Khaydukov , B. Nagy , J. -H. Kim , T. Keller , A. Rühm , Yu. V. Nikitenko , K. N. Zhernenkov , J. Stahn , L. Kiss , A. Csik , L. Bottyán , V. L. Aksenov

Recent calculations, concerning the magnetism of uranium in the U/Fe multilayer system have described the spatial dependence of the 5f polarization that might be expected. We have used the x-ray resonant magnetic reflectivity technique to…

The performance of manganite-based magnetic tunnel junctions (MTJs) has suffered from reduced magnetization present at the junction interfaces that is ultimately responsible for the spin polarization of injected currents; this behavior has…

Strongly Correlated Electrons · Physics 2015-05-13 A. Verna , B. A. Davidson , Y. Szeto , A. Yu. Petrov , A. Mirone , A. Giglia , N. Mahne , S. Nannarone

An analytical solution is found for neutron reflection coefficients from magnetic mirrors with fan-like magnetization. The main feature of the reflection curves related to this type of magnetization is pointed out. The results of…

Optics · Physics 2009-06-24 V. K. Ignatovich , F. Radu

We have combined neutron reflectometry with rheology in order to investigate the solid boundary of liquids and polymers under shear deformation. Our approach allows one to apply a controlled stress to a material while resolving the…

Soft Condensed Matter · Physics 2020-06-09 Max Wolff , Peter Kuhns , Georg Liesche , John F. Ankner , Jim F. Browning , Philipp Gutfreund

Methods for characterisation of 3D magnetic spin structures are necessary to advance the performance of 3D magnetic nanoscale technologies. However, as the component dimensions approach the nanometre range, it becomes more challenging to…

Mesoscale and Nanoscale Physics · Physics 2025-06-24 Aurys Silinga , András Kovács , Stephen McVitie , Rafal E. Dunin-Borkowski , Kayla Fallon , Trevor P. Almeida

We propose a new technique for estimating spatially varying parametric materials from a single image of an object with unknown shape in unknown illumination. Our method uses a low-order parametric reflectance model, and incorporates strong…

Graphics · Computer Science 2019-12-30 Kevin Karsch , David Forsyth

Spatial imaging of magnetic stray fields from magnetic materials is a useful tool for identifying the underlying magnetic configurations of the material. However, transforming the magnetic image into a magnetization image is an ill-poised…

Mesoscale and Nanoscale Physics · Physics 2024-12-30 David A. Broadway , Mykhailo Flaks , Adrien E. E. Dubois , Patrick Maletinsky

We present a novel inverse rendering-based framework to estimate the 3D shape (per-pixel surface normals and depth) of objects and scenes from single-view polarization images, the problem popularly known as Shape from Polarization (SfP).…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Ashish Tiwari , Shanmuganathan Raman

The magnetic properties of RMn2O5 multiferrroics as obtained by unpolarized and polarized neutron diffraction experiments are reviewed. We discuss the qualitative features of the magnetic phase diagram both in zero magnetic field and in…

Materials Science · Physics 2009-11-13 P. G. Radaelli , L. C. Chapon

We present a novel method for efficient acquisition of shape and spatially varying reflectance of 3D objects using polarization cues. Unlike previous works that have exploited polarization to estimate material or object appearance under…

Computer Vision and Pattern Recognition · Computer Science 2021-05-07 Valentin Deschaintre , Yiming Lin , Abhijeet Ghosh

An experimental method is proposed which allows the complete determination of the complex reflection coefficient for absorptive media for positive and negative values of the momenta. It makes use of magnetic reference layers and is a…

Condensed Matter · Physics 2009-10-31 H. Leeb , H. Groetz , J. Kasper , R. Lipperheide

The study of phonon dynamics is pivotal for understanding material properties, yet it faces challenges due to the irreversible information loss inherent in powder inelastic neutron scattering spectra and the limitations of traditional…

Materials Science · Physics 2024-10-29 Yaokun Su , Chen Li

We propose a novel method of introducing structure into existing machine learning techniques by developing structure-based similarity and distance measures. To learn structural information, low-dimensional structure of the data is captured…

Machine Learning · Statistics 2011-10-27 Joseph Wang , Venkatesh Saligrama , David A. Castañón

A localized and strong RF magnetic field, created by a magnetic write head, is used to examine the linear electrodynamic properties of a Nb superconducting film. The complex reflection coefficient of the write head held in close proximity…

Superconductivity · Physics 2014-06-06 Tamin Tai , B. G. Ghamsari , Steven M. Anlage

We probe the local magnetic properties of interfaces between the insulating ferromagnet EuS and the topological insulator Bi$_2$Se$_3$ using low energy muon spin rotation (LE-$\mu$SR). We compare these to the interface between EuS and the…

We address the problem of recovering the shape and spatially-varying reflectance of an object from multi-view images (and their camera poses) of an object illuminated by one unknown lighting condition. This enables the rendering of novel…

Computer Vision and Pattern Recognition · Computer Science 2021-12-23 Xiuming Zhang , Pratul P. Srinivasan , Boyang Deng , Paul Debevec , William T. Freeman , Jonathan T. Barron

Achieving high-fidelity 3D surface reconstruction while preserving fine details remains challenging, especially in the presence of materials with complex reflectance properties and without a dense-view setup. In this paper, we introduce a…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Robin Bruneau , Baptiste Brument , Yvain Quéau , Jean Mélou , François Bernard Lauze , Jean-Denis Durou , Lilian Calvet