Results 101 to 110 of about 201,945 (296)

Making Photoresponsive Metal–Organic Frameworks an Effective Class of Heterogeneous Photocatalyst

open access: yesAdvanced Functional Materials, EarlyView.
This review summarizes photoresponsive MOFs for photocatalytic applications, focusing on their capacity to enhance light harvesting, charge transfer, and surface reactions. While existing studies provide foundational insights, emerging characterization techniques enable a deeper understanding of photoresponsive MOFs.
Rui Liu   +3 more
wiley   +1 more source

A metric of influential spreading during contagion dynamics through the air transportation network. [PDF]

open access: yesPLoS ONE, 2012
The spread of infectious diseases at the global scale is mediated by long-range human travel. Our ability to predict the impact of an outbreak on human health requires understanding the spatiotemporal signature of early-time spreading from a specific ...
Christos Nicolaides   +3 more
doaj   +1 more source

Signature functions of knots [PDF]

open access: yesProc. Amer. Math. Soc. 146 (2018) 4513-4520, 2017
The signature function of a knot is an integer-valued step function on the unit circle in the complex plane. Necessary and sufficient conditions for a function to be the signature function of a knot are presented.
arxiv  

Stratum Corneum‐Inspired Zwitterionic Hydrogels with Intrinsic Water Retention and Anti‐Freezing Properties for Intelligent Flexible Sensors

open access: yesAdvanced Functional Materials, EarlyView.
A novel stratum corneum‐inspired zwitterionic hydrogel is developed for intelligent, flexible sensors, featuring intrinsic water retention and anti‐freezing properties. The quasi‐gel, composed of hygroscopic polymers and bound water, maintains its softness across a wide range of humidity.
Meng Wu   +8 more
wiley   +1 more source

The power of Lorentzian wormholes

open access: yesJournal of High Energy Physics, 2023
As shown by Louko and Sorkin in 1995, topology change in Lorentzian signature involves spacetimes with singular points, which they called crotches. We modify their construction to obtain Lorentzian semiclassical wormholes in asymptotically AdS.
Andreas Blommaert   +2 more
doaj   +1 more source

A topological approach to mapping space signatures

open access: yesAdvances in Applied Mathematics
58 pages, comments welcome!
Giusti, C   +3 more
openaire   +3 more sources

Discovery of an Intrinsic Antiferromagnetic Semiconductor EuSc2Te4 With Magnetism‐Driven Nonlinear Transport

open access: yesAdvanced Functional Materials, EarlyView.
EuSc₂Te₄, an antiferromagnetic semiconductor, exhibits a nonlinear Hall effect (NLHE) characterized by quadratic current–voltage behavior. Combined experimental and theoretical studies reveal that this NLHE is linked to its antiferromagnetism and involves contributions from the quantum metric.
Seng Huat Lee   +15 more
wiley   +1 more source

Random Generation Topology Coding Technique in Asymmetric Topology Encryption

open access: yesMathematics
The security of traditional public key cryptography algorithms depends on the difficulty of the underlying mathematical problems. Asymmetric topological encryption is a graph-dependent encryption algorithm produced to resist attacks by quantum computers ...
Jing Su, Bing Yao
doaj   +1 more source

3D Nano‐architected Polymer Shell Enables Reconfigurable Stabilized Blue Phase Soft Crystals

open access: yesAdvanced Functional Materials, EarlyView.
Spherical polymer shells featuring nanostructure of blue phase (BP) disclinations form via in situ photo‐polymerization within BP liquid crystals, providing controlled anchoring for BP nucleation and growth at room temperature and beyond. This architected confinement enhances BP thermal stability over a broad temperature range while enabling dynamic ...
Sepideh Norouzi   +8 more
wiley   +1 more source

Twin neural network regression

open access: yesApplied AI Letters, Volume 3, Issue 4, December 2022., 2022
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel   +3 more
wiley   +1 more source

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