Results 71 to 80 of about 39,687 (251)

Emergent Spin Supersolids in Frustrated Quantum Materials

open access: yesAdvanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang   +2 more
wiley   +1 more source

An ever-changing landscape in Roberts syndrome biology: Implications for macromolecular damage.

open access: yesPLoS Genetics, 2020
Roberts syndrome (RBS) is a rare developmental disorder that can include craniofacial abnormalities, limb malformations, missing digits, intellectual disabilities, stillbirth, and early mortality.
Michael G Mfarej, Robert V Skibbens
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Eosinophilic Dermatoses: Cause of Non-Infectious Erythema after Volume Replacement with Diced Acellular Dermal Matrix in Breast Cancer?

open access: yesLife
Introduction: Non-infectious erythema, or Red Breast Syndrome (RBS), has been observed on the skin where acellular dermal matrix was implanted, although the exact cause is yet to be determined.
Jean Schneider   +3 more
doaj   +1 more source

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

open access: yesAdvanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong   +6 more
wiley   +1 more source

Perspective on compressed CO2 regenerative braking systems for passenger cars

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
The growing demand for energy-efficient and sustainable transportation has led to significant advancements in regenerative braking systems (RBS), which recover and reuse kinetic energy lost during braking.
Alberto Boretti
doaj   +1 more source

High Upper Critical Field and Type II Superconductivity in Epitaxial Cubic W<sub>2</sub>N Thin Films. [PDF]

open access: yesAdv Sci (Weinh)
Superconducting thin films of stoichiometric W2N demonstrate a high upper critical field (Hc2) of ∼ 8.5 T, uncommon among binary transition metal nitrides. This robust superconducting response under high magnetic fields highlights the technological relevance of W2N for superconducting applications, e.g., integrated quantum and cryogenic electronics ...
Singh A   +7 more
europepmc   +2 more sources

Third level at RBS: Project risks identified.

open access: yes, 2019
Third level at RBS: Project risks identified.
Jose Ignacio Munoz-Hernandez (6836813)   +1 more
core   +1 more source

Topological Spin‐Texture Transitions in van der Waals Magnets Revealed by X‐Ray Fourier Transform Holography

open access: yesAdvanced Materials, EarlyView.
Applied here for the first time to a 2D material, high‐resolution synchrotron x‐ray Fourier transform holography directly images topological spin textures in Fe3GeTe2. Combined with atomistic tight‐binding simulations including itinerant electrons and Rashba spin‐orbit coupling, the approach reveals labyrinth, skyrmion, and mixed phases, and uncovers ...
Sourav Chowdhury   +16 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh   +5 more
wiley   +1 more source

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