Results 41 to 50 of about 11,061 (283)

Giant Magnetic Coercivity Driven by Spin‐Bag Ferromagnetism in Epitaxial Sr3YCo4O10+δ Films with Engineered 2D Oxygen Vacancy Ordering

open access: yesAdvanced Functional Materials, EarlyView.
A giant magnetic coercivity and a vertical shift of hysteresis loops are demonstrated in Sr3YCo4O10+δ epitaxial films. The hard magnetic behavior originates from ferromagnetic spin bags stabilized within a long‐range ordered oxygen‐vacancy structure.
Yanbin Chen   +12 more
wiley   +1 more source

Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data

open access: yesThe Astrophysical Journal Supplement Series
Galaxy morphology classification plays a crucial role in understanding the structure and evolution of the Universe. With galaxy observation data growing exponentially, machine learning has become a core technology for this classification task.
Zhijian Luo   +6 more
doaj   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

A Semisupervised Approach Using the Adaptive Threshold Mechanism and Boundary-aware Learning for Radio-frequency Interference Segmentation

open access: yesThe Astrophysical Journal Supplement Series
In the task of radio-frequency interference (RFI) detection, the scarcity of high-quality labeled samples limits the performance of supervised models, while the severe class imbalance between background and RFI makes semisupervised methods prone to ...
Suxun Zhu   +3 more
doaj   +1 more source

Holding the Cosmos in Your Hand: Developing 3D Modeling and Printing Pipelines for Communications and Research

open access: yesFrontiers in Earth Science, 2020
Three-dimensional (3D) visualization has opened up a Universe of possible scientific data representations. 3D printing has the potential to make seemingly abstract and esoteric data sets accessible, particularly through the lens of translating data into ...
Kimberly K. Arcand   +2 more
doaj   +1 more source

Evidence for Itinerant Ferromagnetic Flat Bands Producing Large Transverse Responses

open access: yesAdvanced Materials, EarlyView.
Itinerant ferromagnetic flat bands are demonstrated in GdCo5 with a high Curie temperature of 940K, a stacked honeycomb–kagome lattice, through angle‐resolved photoemission spectroscopy and magneto‐thermoelectric measurements. These topological flat bands generate large Berry curvaturte, producing gigantic anomalous Nernst effect with record‐high ...
Susumu Minami   +15 more
wiley   +1 more source

Different traces give different gravitational mass distributions [PDF]

open access: yes, 2009
Context. Charting the extent and amount of dark matter (DM) in the Universe is highly appealing but is equally hard since it is only through the interpretation of its effect that we can track the DM distribution, i.e.
Chakrabarty, Dalia
core  

Validation and Testing of the CROBAR 3D Coronal Reconstruction Method with a MURaM Simulation

open access: yesThe Astrophysical Journal, 2023
I report on validation and testing of a novel 3D reconstruction method than can obtain coronal plasma properties from a single snapshot perspective.
Joseph Plowman
doaj   +1 more source

Room‐Temperature Skyrmionic Synapse in 2D Ferromagnet Fe3GaTe2 Operating via Collective Spin Texture Transformation

open access: yesAdvanced Materials, EarlyView.
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang   +20 more
wiley   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

open access: yesAdvanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

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