Results 91 to 100 of about 61,541 (298)
Oxygen‐releasing hydrogels are widely used to support cell survival in 3D cultures and to promote wound healing. However, incorporating catalase to convert H2O2 into O2 often generates additional oxygen bubbles, leading to material instability which rarely addressed.
Sukulya Bunuasunthon +3 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Sparse point‐voxel aggregation network for efficient point cloud semantic segmentation
Effective and efficient semantic segmentation of 3D point cloud data is important for many tasks. Many methods for point cloud semantic segmentation rely on computationally expensive sampling and grouping layers to process irregular points, while others ...
Zheng Fang, Binyu Xiong, Fei Liu
doaj +1 more source
In this research the [4‐(3,6‐dimethyl‐9H‐carbazol‐9‐yl)butyl] phosphonic acid (Me‐4PACz) self‐assembled monolayers (SAMs) to bond with NiOx is first designed to be the organic‐inorganic hybrid hole‐selective layers, which promotes the BiVO4 photoanodes photoelectrochemical water splitting performance with 6.9 mA cm−2 photocurrent at 1.23 VRHE and at ...
Kaige Tian +10 more
wiley +1 more source
The synergistic integration of rigid polyacrylamide (PAM) and flexible poly(N,N‐dimethylacrylamide) (PDMA) phases offers exceptional toughness to suppress lithium dendrites, simultaneously enhancing mechanical strength and ionic conductivity. ABSTRACT Gel polymer electrolytes for lithium‐metal batteries face an inherent trade‐off between mechanical ...
Hao Long +6 more
wiley +1 more source
SEMANTIC SEGMENTATION OF INDOOR 3D POINT CLOUD WITH SLENET [PDF]
With the rapid development of new indoor sensors and acquisition techniques, the amount of indoor three dimensional (3D) point cloud models was significantly increased.
Y. Ding, X. Zheng, H. Xiong, Y. Zhang
doaj +1 more source
Large size (∼100 µm) monolayer MoS2 grown by LPI‐CVD on n‐GaN exhibit a high n‐type doping, very low strain, and a type‐I band alignment at MoS2/GaN interface. Photocurrent measurements under illumination with photon energies from ∼2 to ∼5 eV show superior electro‐optical performances of these MoS2/n‐GaN heterojunctions as compared to Ni/n‐GaN devices ...
Salvatore Ethan Panasci +12 more
wiley +1 more source
Point Cloud Segmentation for 3d Clothed Human Layering
3D Cloth modeling and simulation is essential for avatars creation in several fields, such as fashion, entertainment, and animation. Achieving high-quality results is challenging due to the large variability of clothed body especially in the generation of realistic wrinkles. 3D scan acquisitions provide more accuracy in the representation of real-world
Garavaso, Davide +3 more
openaire +2 more sources
Nonwoven textile architectures are emerging as versatile platforms for next‐generation energy storage, demonstrating how tailored materials and fabrication strategies enhance ion transport, conductivity, flexibility, and scalability for high‐performance sustainable devices.
Tarikul Islam +6 more
wiley +1 more source
The Segmentation Method of Target Point Cloud for Polarization-Modulated 3D Imaging
To implement target point cloud segmentation for a polarization-modulated 3D imaging system in practical projects, an efficient segmentation concept of multi-dimensional information fusion is designed.
Shengjie Wang +4 more
doaj +1 more source

