Results 71 to 80 of about 163,902 (315)

Full‐Spectrum Solar Harvesting and Desalination Enabled by Supra‐Nano Amorphous Ruthenium Dioxide – Mineral Composites

Advanced Functional Materials, EarlyView.
A mineral‐based supra‐nano amorphous ruthenium dioxide composite (a‐Ru0.5‐AM) was designed, achieving 97% broadband solar absorption. Under one sun, it reaches 87.91 ± 0.32 °C with a distinct thermal buffering effect that favors thermal confinement.
Yunchen Long, Zhengyi Mao, Bowen Li, Xiujuan Hu, Xinxue Tang, Yuanchao Liu, Jia‐Hua Liu, Hongkun Li, Chong Wang, Hong Yue, Weihui Ou, Johnny Chung Yin Ho, Jian Lu, Yang Yang Li   +13 more
wiley   +1 more source

A method for completing coal wall point cloud in fully mechanized working face based on residual optimization

Gong-kuang zidonghua
The digital 3D reconstruction process of coal mine fully mechanized working face roadways requires complete and dense coal wall point cloud data. Due to factors such as occlusion and limited viewing angle, the collected coal wall point cloud data of the ...
WANG Weibing, HOU Xueqian, ZHAO Shuanfeng, HE Haitao, XING Zhizhong, LU Zhengxiong   +5 more
doaj   +1 more source

3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds [PDF]

, 2020
Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, A. S. Krylov, Yong Ding, Ling Shao   +6 more
openalex   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Point Cloud Action Recognition Method Based on Masked Self-Supervised Learning [PDF]

Jisuanji kexue yu tansuo
Point cloud action recognition methods can provide precise 3D motion monitoring and recognition services, with broad application prospects in fields such as intelligent interaction, intelligent security, and medical health. Existing methods typically use
HE Yundong, LI Ping, PING Chenhao
doaj   +1 more source

SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds

, 2022
Lingfei Ma, Jonathan Li
openalex   +1 more source

Point Cloud GAN

, 2018
Generative Adversarial Networks (GAN) can achieve promising performance on learning complex data distributions on different types of data. In this paper, we first show a straightforward extension of existing GAN algorithm is not applicable to point clouds, because the constraint required for discriminators is undefined for set data.
Li, Chun-Liang, Zaheer, Manzil, Zhang, Yang, Poczos, Barnabas, Salakhutdinov, Ruslan   +4 more
openaire   +2 more sources

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Detection and quantitative evaluation of surface defects in wire and arc additive manufacturing based on 3D point cloud

, 2023
Mengru Liu, Xingwang Bai, Shengxuan Xi, Honghui Dong, Runsheng Li, Haiou Zhang, Xiangman Zhou   +6 more
openalex   +1 more source

Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework

Advanced Functional Materials, EarlyView.
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim, Namhee Kwon, Sang Woo Park, Wonsik Kim, Seunghwan Kim, Eunki Yoon, Aelim Ha, Donggyu Lee, Young Yong Kim, Jong‐Cheol Lee, Sungho Lee, Junghan Lee, Kyu Hyoung Lee, Yeonjin Yi, Ki‐Ha Hong, Soohyung Park   +15 more
wiley   +1 more source