Results 81 to 90 of about 61,541 (298)

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

Advanced Functional Materials, EarlyView.
A stochastic model and validation suite were developed to produce the highest fidelity computer‐generated (Digital Twin) microstructures of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively.
Jonathan O'Neill, Tanner Hamann, Huanyu Zhang, Faruk Okur, Annapaola Parrilli, Antonia Neels, Keith Duncan, Kostiantyn V. Kravchyk, Maksym V. Kovalenko, Eric D. Wachsman   +9 more
wiley   +1 more source

Automated Phenotypic Analysis of Mature Soybean Using Multi-View Stereo 3D Reconstruction and Point Cloud Segmentation

Agriculture
Phenotypic analysis of mature soybeans is a critical aspect of soybean breeding. However, manually obtaining phenotypic parameters not only is time-consuming and labor intensive but also lacks objectivity.
Daohan Cui, Pengfei Liu, Yunong Liu, Zhenqing Zhao, Jiang Feng   +4 more
semanticscholar   +1 more source

Mimicking Silent Synapse Recruitment: A SiOx/Cu‐Pancake Memristive Device For Analog Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Electroforming‐free TiN/SiOx/Cu/SiOx/TiN memristive devices exploit pancake‐like Cu nanoparticles embedded in a SiOx double layer to create a heterogeneous Schottky‐barrier landscape. Under bias, oxygen‐vacancy redistribution progressively lowers local barriers and recruits initially inactive Cu‐PC pathways into a parallel conduction ensemble, enabling
Rouven Lamprecht, Ole Gronenberg, Sahitya Yarragolla, Tobias Gergs, Richard Marquardt, Victor Witte, Jürgen Carstensen, George Popkirov, Jan Trieschmann, Lorenz Kienle, Hermann Kohlstedt   +10 more
wiley   +1 more source

An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images

Sensors, 2022
Mobile light detection and ranging (LiDAR) sensor point clouds are used in many fields such as road network management, architecture and urban planning, and 3D High Definition (HD) city maps for autonomous vehicles.
Muhammed Enes Atik, Zaide Duran
doaj   +1 more source

Cross‐Shape Attention for Part Segmentation of 3D Point Clouds

Computer Graphics Forum, 2023
AbstractWe present a deep learning method that propagates point‐wise feature representations across shapes within a collection for the purpose of 3D shape segmentation. We propose a cross‐shape attention mechanism to enable interactions between a shape's point‐wise features and those of other shapes.
Marios Loizou, Siddhant Garg, Dmitry Petrov, Melinos Averkiou, Evangelos Kalogerakis   +4 more
openaire   +3 more sources

Interface Engineering via Sb2Te3 Deposition Enables High‐Performance SWCNT Film Thermoelectrics

Advanced Functional Materials, EarlyView.
SWCNTs are promising for flexible thermoelectrics but suffer from low performance. Here, cold‐pressed SWCNT films combined with deposited Sb2Te3 form engineered interfaces that enhance charge transport and energy filtering. The composite achieves a high power factor (25.82 µW cm−1 K−2) and delivers a power density of 3 mW cm−2 at ΔT = 40 K, with ...
Yuan‐Meng Liu, Xiao‐Lei Shi, Ziyu Wang, Muyang Huang, Meng Li, Xiaolong Sun, Yong Liu, Shanshan Zhou, Yi Zhao, Yineng Gou, Yue Hou, Zhi‐Gang Chen   +11 more
wiley   +1 more source

Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction

Journal of Food Quality, 2021
Fruit three-dimensional (3D) model is crucial to estimating its geometrical and mechanical properties and improving the level of fruit mechanical processing.
Zhiping Xie, Yancheng Lang, Luqi Chen
doaj   +1 more source

Graph based over-segmentation methods for 3D point clouds [PDF]

Computer Vision and Image Understanding, 2018
Over-segmentation, or super-pixel generation, is a common preliminary stage for many computer vision applications. New acquisition technologies enable the capturing of 3D point clouds that contain color and geometrical information. This 3D information introduces a new conceptual change that can be utilized to improve the results of over-segmentation ...
Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer   +3 more
openaire   +2 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 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