Results 101 to 110 of about 1,119,291 (284)
Evaluation of the Resolution in Inverse Scattering of Dielectric Cylinders for Medical Applications. [PDF]
Sensors (Basel), 2023 Akbari Sekehravani E, Leone G.
europepmc +1 more source
Advanced Functional Materials, EarlyView.USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll +17 more
wiley +1 more source
Through-the-wall microwave imaging: Forward modeling and hybrid inverse-scattering procedures
, 2023 In this Chapter, an overview of the results achieved by teams from the CNIT research units of the University of Genoa and University of Roma Tre in the framework of through-the-wall imaging is reported.
Ponti, Cristina +4 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThis article reports on the localization and imaging of perfect electric conductive (PEC) objects in a non-line-of-sight (NLOS) environment using the multipath exploitation-based inverse scattering method.
Hiroshi Suenobu +5 more
doaj +1 more source
Stability estimates in inverse scattering [PDF]
Acta Applicandae Mathematicae, 1992 Mathematically rigorous inversion method is developed to recover compactly supported potentials from the fixed-energy scattering data in three dimensions. Error estimates are given for the solution. An algorithm for inversion of noisy discrete fixed-energy #D scattering data is developed and its error estimates are ...
openaire +3 more sources
Quantitative Analysis of Super Resolution in Electromagnetic Inverse Scattering for Microwave Medical Sensing and Imaging. [PDF]
Sensors (Basel), 2023 Ding Y, Gong Z, Chen Y, Hu J, Chen Y.
europepmc +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Advanced Functional Materials, EarlyView.Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Imaging of Insect Hole in Living Tree Trunk Based on Joint Driven Algorithm of Electromagnetic Inverse Scattering. [PDF]
Sensors (Basel), 2022 Song J +5 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu +12 more
wiley +1 more source
A Multi-Frequency Tomographic Inverse Scattering Using Beam Basis Functions. [PDF]
Sensors (Basel), 2022 Tuvi R.
europepmc +1 more source