Results 91 to 100 of about 1,345 (198)

A unipolar head gradient for high‐field MRI without encoding ambiguity

Magnetic Resonance in Medicine, Volume 95, Issue 2, Page 1266-1278, February 2026.
Abstract Purpose MRI gradients with a conventional, bipolar design generally face a trade‐off among performance, encoding ambiguity, and radiofrequency selectivity used to circumvent said ambiguity. This problem is particularly limiting in cutting‐edge brain imaging performed at field strengths ≥ 7 T and using high‐performance head gradients.
Markus Weiger, Johan Overweg, Franciszek Hennel, Emily Louise Baadsvik, Samuel Bianchi, Oskar Björkqvist, Roger Luechinger, Jens Metzger, Eric Seth Michael, Thomas Schmid, Lauro Singenberger, Urs Sturzenegger, Erik Oskam, Gerrit Vissers, Jos Koonen, Wout Schuth, Jeroen Koeleman, Martino Borgo, Klaas Paul Pruessmann   +18 more
wiley   +1 more source

Making RF coils MR‐invisible by additive manufacturing using magnetically filled polymer

Magnetic Resonance in Medicine, Volume 95, Issue 2, Page 1279-1288, February 2026.
Abstract Purpose Short‐T2 MRI is sensitive not only to targeted tissues but also to signals from materials in RF coils, which can lead to image background artifacts. Current solutions to this problem either compromise imaging performance or impose restrictions on coil design.
Markus Weiger, Johan Overweg, Amelie Viol, Lauro Singenberger, Thomas Schmid, Emily Louise Baadsvik, Klaas Paul Pruessmann   +6 more
wiley   +1 more source

Multi‐scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023

Near Surface Geophysics, Volume 24, Issue 1, Page 36-49, February 2026.
Abstract Total dissolved solids derived from salt dome–sourced brine in the underlying alluvial aquifer substantially increase with distance in the reach of the Dolores River that passes through Paradox Valley in southwestern Colorado. The area has been the site of salinity control operations since the 1990s to reduce salt loading to the downstream ...
Neil Terry, Alisa Mast, Andrea Creighton, Joel Homan, Connor Newman, Suzanne Paschke   +5 more
wiley   +1 more source

HFDNN: A Hybrid Fusion Deep Neural Network for Robust Automatic Modulation Classification in Adverse Wireless Environments

IEEE Access
Automatic Modulation Classification (AMC) plays a vital role in modern wireless communication systems, particularly in domains such as defense, the Internet of Things (IoT), and cognitive radio, where resilience to interference is essential.
Muhammad Muneeb Tahir, Arbab Latif, M. Shahzad Younis, Rao Naveed Bin Rais, Khalid Ammar   +4 more
doaj   +1 more source

Control of Open Quantum Systems via Dynamical Invariants

Advanced Quantum Technologies, Volume 9, Issue 2, February 2026.
Dynamical invariants are used to reverse‐engineer control fields for open quantum systems described by time‐dependent Lindblad master equations. By minimizing an analytic leakage functional, the protocol dynamically steers the state along an effectively decoherence‐free path without costly iterative propagation.
Loris M. Cangemi, Hilario Espinós, Ricardo Puebla, Erik Torrontegui, Amikam Levy   +4 more
wiley   +1 more source

Coherent Spin Waves in Curved Ferromagnetic Nanocaps of a 3D‐Printed Magnonic Crystal

Small, Volume 22, Issue 7, 2 February 2026.
A nanoprinted 3D magnonic woodpile crystal is measured by microresonator ferromagnetic resonance. Micromagnetic simulations are performed to analyze and visualize the detected coherent spin‐wave modes along the nickel‐coated tubes and caps for various field angles. The woodpile exhibits an unexpected phase evolution and robust edge modes.
Huixin Guo, Kilian Lenz, Mateusz Gołębiewski, Ryszard Narkowicz, Jürgen Lindner, Maciej Krawczyk, Dirk Grundler   +6 more
wiley   +1 more source

Forecasting Local Ionospheric Parameters Using Transformers

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract We present a novel method for forecasting key ionospheric parameters using transformer‐based neural networks. The model provides accurate forecasts and uncertainty quantification of the F2‐layer peak plasma frequency (foF2), the F2‐layer peak density height (hmF2), and total electron content for a given geographic location.
D. J. Alford‐Lago, C. W. Curtis, A. T. Ihler, D. P. Drob, K. A. Zawdie   +4 more
wiley   +1 more source

On Multilevel Energy‐Based Fragmentation Methods

International Journal of Quantum Chemistry, Volume 126, Issue 3, January 30, 2026.
We investigate the working equations of energy‐based fragmentation methods and present ML‐SUPANOVA, a Möbius‐inversion‐based multilevel fragmentation scheme that enables adaptive, quasi‐optimal truncations to efficiently approximate Born‐Oppenheimer potentials across hierarchies of electronic‐structure methods and basis sets.
James Barker, Michael Griebel, Jan Hamaekers   +2 more
wiley   +1 more source

Frequency‐Domain Analysis of a Keldysh‐Like System

International Journal of Robust and Nonlinear Control, Volume 36, Issue 2, Page 671-682, 25 January 2026.
ABSTRACT Complex dynamics of the system, revealing flutter and first presented by M. Keldysh, is analyzed in the paper in the frequency domain, through the describing function method. Motivated by this analysis, a system with similar behavior, but suitable for the exact frequency‐domain analysis through the locus of a perturbed relay system (LPRS ...
I. M. Boiko, N. V. Kuznetsov, R. N. Mokaev, E. D. Akimova   +3 more
wiley   +1 more source

Sub-THz communication systems: pushing the capabilities of silicon. [PDF]

Commun Eng
Gruber J, Alotaibi H, Tabatabavakili A, Chen L, Aghasi H, Naghavi SMH, Afshari E.   +6 more
europepmc   +1 more source