Results 131 to 140 of about 300,638 (255)

Maven: a multimodal foundation model for supernova science

Machine Learning: Science and Technology
A common setting in astronomy is the availability of a small number of high-quality observations, and larger amounts of either lower-quality observations or synthetic data from simplified models.
Gemma Zhang, Thomas Helfer, Alexander T Gagliano, Siddharth Mishra-Sharma, V Ashley Villar   +4 more
doaj   +1 more source

Optical‐to‐Microcomb Stability Transfer for Ultrastable Timing and Microwave/Millimeter‐Wave Generation

Laser &Photonics Reviews, EarlyView.
This work demonstrates a high‐fidelity stability transfer from an optical reference to a high‐repetition‐rate microcomb using a mode‐locked laser bridge. By employing electro‐optic sampling timing detection, femtosecond‐level synchronization and 10−18‐level fractional frequency stability are achieved.
Changmin Ahn, Junyong Choi, Daewon Suk, Hansuek Lee, Jungwon Kim   +4 more
wiley   +1 more source

Navigator‐Based Slice Tracking for Multiband Accelerated Liver DWI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Clinical liver diffusion‐weighted imaging (DWI) suffers from long measurement time and respiratory motion. In this study, we employ a navigator‐based slice tracking technique (NAV) to prospectively compensate for respiratory motion in multiband (MB) accelerated liver DWI.
Ke Zhang, Simon M. F. Triphan, Congcong Fu, Na Zhang, Christian H. Ziener, Mark E. Ladd, Heinz‐Peter Schlemmer, Hans‐Ulrich Kauczor, Oliver Sedlaczek   +8 more
wiley   +1 more source

The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models

The Astrophysical Journal Supplement Series
In modern astronomy, the quantity of data collected has vastly exceeded the capacity for manual analysis, necessitating the use of advanced artificial intelligence (AI) techniques to assist scientists with the most labor-intensive tasks.
Marcin Wrona, Andrej Prša
doaj   +1 more source

Four Directions, One Solution: Enabling Rapid Diffusion Tensor MRI for Ultra‐Low Field Using Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe, James Gholam, Leandro Beltrachini, Mara Cercignani, Derek Kenton Jones   +4 more
wiley   +1 more source

Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study examines severe flooding in the northern Adriatic Sea in December 2019, which existing forecasting systems failed to predict. Analysis of wind and sea‐level data, alongside reanalysis datasets and a high‐resolution hydrodynamic model, revealed a wind‐induced resonance mechanism.
Marco Bajo, Luca Arpaia, Christian Ferrarin, Mirko Orlić   +3 more
wiley   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

High‐Resolution Microlens‐Assisted Tunable n‐Type Optical Doping in Monolayer MoS2

Small, EarlyView.
The laser‐assisted microlens array processing (LAMP) technique enables sub‐diffraction, localized n‐type optical doping of monolayer MoS2 by utilizing self‐assembled microspheres as microlenses. Controlled sulfur vacancy formation under low‐power laser irradiation allows precise tuning of the carrier concentration.
Junil Kim, Kyungjune Cho, Jieun Lee, Takhee Lee, Seungjun Chung, Hyuk‐Jun Kwon   +5 more
wiley   +1 more source

Questioning Your Brilliance in Physics: Differential Shifts in Fixed Mindsets by Grade and Gender

Journal of Research in Science Teaching, EarlyView.
ABSTRACT Students' domain‐specific mindsets and their beliefs about their capacity to improve through effort play a crucial role in shaping their experiences and decisions to persist in STEM disciplines. Physics is generally seen as a field requiring innate brilliance, which can reinforce fixed mindsets, particularly after initial setbacks in ...
Fargol Seifollahi, Christian D. Schunn, Chandralekha Singh   +2 more
wiley   +1 more source

Quantitative micro‐XRF combined with X‐ray imaging reveals correlations between Zn concentration and dentin tubule porosity across entire teeth

VIEW, EarlyView.
The combination of calibrated micro‐CT and quantitative micro‐XRF measurement facilitates the correlation of density and composition in the 3D macro‐structure of teeth. Zn concentration in dentin increases by a factor of 10 toward the pulp. Incidentally, the overall density decreases, showing an association between Zn and the dentin tissue porosity ...
Ioanna Mantouvalou, Leona Johanna Bauer, Vinh‐Binh Truong, Yannick Wagener, Frank Förste, Oleksandra Marushchenko, Stephan Werner, Franco Lizzi, Frank Wieder, Timo Wolff, Birgit Kanngießer, Paul Zaslansky   +11 more
wiley   +1 more source