Results 251 to 260 of about 1,526,545 (357)

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

Taste breaking in staggered fermions from random matrix theory

, 2003
James C. Osborn
openalex   +2 more sources

Random Matrix Theory and the Fourier Coefficients of Half-Integral-Weight Forms [PDF]

, 2006
J. Brian Conrey, Jonathan P. Keating, Michael Rubinstein, N. C. Snaith   +3 more
openalex   +1 more source

Detection and mitigation of jamming attacks in massive MIMO systems using random matrix theory

International Workshop on Signal Processing Advances in Wireless Communications, 2016
Julia Vinogradova, Emil Björnson, E. Larsson   +2 more
semanticscholar   +1 more source

Investigating Experimental Short Term Imprint Dynamics in Ferroelectric Hafnium Oxide Through Phase‐Field Modeling

Advanced Functional Materials, EarlyView.
Phase‐field modeling reveals the mechanisms behind short‐term ferroelectric imprint in Hf0.5Zr0.5O2 polycrystalline thin films. Combined with a charge trapping model, the proposed framework accurately reproduces coercive field shifts with pause time and their recovery through field cycling in polarization‐voltage measurements, offering valuable ...
Kévin Alhada‐Lahbabi, Benoit Manchon, Grégoire Magagnin, Chiara Lepri, Sara Gonzalez, Ingrid Cañero Infante, Martine Le Berre, Bertrand Vilquin, Jordan Bouaziz, Brice Gautier, Damien Deleruyelle   +10 more
wiley   +1 more source

An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. [PDF]

PLoS One
Liu H, Ge G, Jiang Z, Chen X.
europepmc   +1 more source

Random matrix theory for modeling uncertainties in computational mechanics

, 2004
Christian Soize
openalex   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Role of Crosslinking and Backbone Segmental Dynamics on Ion Transport in Hydrated Anion‐Conducting Polyelectrolytes

Advanced Functional Materials, EarlyView.
Thermally crosslinked poly(2‐vinylpyridine)‐based anion conducting polyelectrolytes have been synthesized. The segmental dynamics of these polyelectrolytes have been systematically modified by varying the degree of crosslinking. Both the experimental and simulation results indicate that segmental dynamics have a limited influence on ion transport in ...
Zhongyang Wang, Kai Wang, Christopher Eom, Yuxi Chen, Ge Sun, Mincheol Kim, Joan M. Montes de Oca, Dongyue Liang, Kushal Bagchi, Shrayesh N. Patel, Juan J. de Pablo, Paul F. Nealey   +11 more
wiley   +1 more source

The supersymmetry method of random matrix theory

, 2004
Martin R. Zirnbauer
openalex   +2 more sources