Results 101 to 110 of about 832,460 (272)

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

Domain-Specific Languages for Algorithmic Graph Processing: A Systematic Literature Review

open access: yesAlgorithms
Graph analytics has grown increasingly popular as a model for data analytics across a variety of domains. This has prompted an emergence of solutions for large-scale graph analytics, many of which integrate user-facing domain-specific languages (DSLs) to
Houda Boukham   +2 more
doaj   +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

High‐Resolution and Real‐Time In Situ Generation of Cellular Spheroids by Laser‐Assisted Bioprinting for Guided Microvascularization

open access: yesAdvanced Functional Materials, EarlyView.
Micro‐injection laser‐assisted bioprinting enables ultrafast and precise patterning of small endothelial cell spheroids by injecting a highly concentrated single‐cell suspension into GelMA/ColMA hydrogels. In co‐culture with fibroblasts, controlled pre‐vasculogenic network formation is obtained at microscale resolution.
Charles Handschin   +9 more
wiley   +1 more source

Faster and Simpler Distributed Algorithms for Testing and Correcting Graph Properties in the CONGEST-Model

open access: yes, 2017
In this paper we present distributed testing algorithms of graph properties in the CONGEST-model [Censor-Hillel et al. 2016]. We present one-sided error testing algorithms in the general graph model. We first describe a general procedure for converting
Even, Guy, Levi, Reut, Medina, Moti
core  

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

Computing 2-twinless blocks [PDF]

open access: yesDiscrete Mathematics Letters, 2021
Raed Jaberi
doaj   +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

Multi-channel depth segmentation network based on 3D graph convolution algorithm and its application in point cloud segmentation

open access: yesAlexandria Engineering Journal
At the current stage, 3D graph convolutional algorithms face the following issues: (1) The problem of determining the neighborhood in graph convolution. (2) The issue of fusing features at different depths in deep graph convolutional algorithms.
Yanming Zhao
doaj   +1 more source

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