Results 101 to 110 of about 55,694 (255)

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

open access: yesAdvanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi   +2 more
wiley   +1 more source

The Failure Probability of Random Linear Network Coding for Networks

open access: yes, 2013
5 pages, submitted to ISIT 2013. And add the interpretation of the notation $CUT_{t,k}^{out}$ to original manuscript (in column 2, page 2 ...
Guang, Xuan, Fu, Fang-Wei
openaire   +2 more sources

Domain Wall Rebounds Driven by Competing Entropic and Spin‐Transfer Torques in Cylindrical Nanowires

open access: yesAdvanced Functional Materials, EarlyView.
Domain‐wall motion in cylindrical magnetic nanowires driven by nanosecond current pulses. Low current densities efficiently displace domain walls, whereas higher currents cause rebound at the wire ends. The effect results from the interplay between spin‐transfer torque and thermally induced processes, highlighting the role of thermal gradients in ...
Elias Saugar   +11 more
wiley   +1 more source

Copper‐Based Crystalline‐Metallic Glass Composite Thin Films: A Novel Material with Enhanced Strength and Thermally Stable Nanotwins

open access: yesAdvanced Functional Materials, EarlyView.
A Cu‐based crystal‐glass composite with high‐density twins is identified by a fast screening technique using combinatorial sputtering together with XRD and nanoindentation mapping. This bamboo‐like structure demonstrates homogenous plastic flow and retains high strength during in situ high temperature tests, up to 1 GPa at 550°C, owing to those ...
Chunhua Tian   +10 more
wiley   +1 more source

2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics

open access: yesAdvanced Functional Materials, EarlyView.
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit   +5 more
wiley   +1 more source

Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s

open access: yesAdvanced Functional Materials, EarlyView.
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu   +6 more
wiley   +1 more source

Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?

open access: yesAdvanced Functional Materials, EarlyView.
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee   +7 more
wiley   +1 more source

Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control

open access: yesAdvanced Functional Materials, EarlyView.
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong   +7 more
wiley   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

open access: yesAdvanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu   +3 more
wiley   +1 more source

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