Results 111 to 120 of about 22,647 (298)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Evaluation of Rapeseed Leave Segmentation Accuracy Using Binocular Stereo Vision 3D Point Clouds

Agronomy
Point cloud segmentation is necessary for obtaining highly precise morphological traits in plant phenotyping. Although a huge development has occurred in point cloud segmentation, the segmentation of point clouds from complex plant leaves still remains ...
Lili Zhang, Shuangyue Shi, Muhammad Zain, Binqian Sun, Dongwei Han, Chengming Sun   +5 more
doaj   +1 more source

Learning Gaussian Instance Segmentation in Point Clouds

CoRR, 2020
This paper presents a novel method for instance segmentation of 3D point clouds. The proposed method is called Gaussian Instance Center Network (GICN), which can approximate the distributions of instance centers scattered in the whole scene as Gaussian center heatmaps.
Shih-Hung Liu, Shang-Yi Yu, Shao-Chi Wu, Hwann-Tzong Chen, Tyng-Luh Liu   +4 more
openaire   +2 more sources

E. coli Extracellular Matrix: A Tunable Composite With Hierarchical Structure

Advanced Materials, EarlyView.
The complex composite‐like mechanical behavior of E. coli biofilm matrix is the result of a synergic contribution of the rigid curli and swelling pEtN‐cellulose, and emerges from specific ratio and assembly conditions. The interactions between the two fibers govern biofilm hydration and characteristic wrinkling patterns, providing crucial insights for ...
Macarena Siri, Agustín Mangiarotti, Anne Seewald, Nikolai Rosenthal, Shahrouz Amini, Emeline Raguin, Peter Fratzl, Cécile M. Bidan   +7 more
wiley   +1 more source

Organic–Inorganic Hybrid Hole‐Selective Layer Interface Engineering for Enhanced Photoelectrochemical Water Oxidation on Bismuth Vanadate Photoanodes

Advanced Materials, EarlyView.
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, Dingyanyan Zhou, Jiafan Zhang, Zhennan Wang, Yujin Ji, Youyong Li, Hui Li, Zhong‐Yong Yuan, Shuit‐Tong Lee, Tianyi Ma, Junqing Yan   +10 more
wiley   +1 more source

Robust segmentation in laser scanning 3D point cloud data [PDF]

, 2012
Segmentation is a most important intermediate step in point cloud data processing and understanding. Covariance statistics based local saliency features from Principal Component Analysis (PCA) are frequently used for point cloud segmentation.
Abdul Nurunnabi, Nurunnabi, Abdul, Belton, David, West, Geoffrey, David Belton, Geoff West   +5 more
core   +1 more source

Fluorinated Deep Eutectic Gel Electrolytes with Simultaneously Enhanced Mechanical Strength and Ionic Conductivity for Solid‐State Lithium Metal Batteries

Advanced Materials, EarlyView.
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, Yuhao Liang, Ting He, Xueming Chen, Zimo Huang, Hao Chen, Shanqing Zhang   +6 more
wiley   +1 more source

MFFTNet: A Novel 3D Point Cloud Segmentation Network Based on Multi-Scale Feature Fusion and Transformer Architecture

IEEE Access
Intelligent analysis of 3D point clouds has become a frontier in emerging fields such as autonomous driving, digital twins, and the metaverse. Precise segmentation of 3D point clouds is particularly important within these domains; however, it faces ...
Hao Bai, Xiongwei Li, Qing Meng, Shulong Zhuo, Lili Yan   +4 more
doaj   +1 more source

Energy Band Alignment and Electro‐Optical Behavior of Nearly Unstrained Monolayer MoS2 Heterostructures With GaN

Advanced Materials Interfaces, EarlyView.
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, Emanuela Schilirò, Giuseppe Greco, Patrick Fiorenza, Fabrizio Roccaforte, Fiorenza Esposito, Igor Píš, Federica Bondino, Antonino Madonia, Marco Cannas, Simonpietro Agnello, Luca Seravalli, Filippo Giannazzo   +12 more
wiley   +1 more source

Nonwoven‐Based Textile Architectures for Energy Storage Applications: Materials, Preparation, Characterization, and Prospects

Advanced Materials Interfaces, EarlyView.
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, Md. Hanif Munshi, Rijon Saha, Shaikh Almoon Hussain, Aqib Adnan Shafin, Shumsul Arefin, Md. Kamruzzaman   +6 more
wiley   +1 more source