Results 81 to 90 of about 6,825,217 (303)

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Investigation of Data Formats for the Integration of 3D Sensed and 3D CAD data for Improved Equipment Operation Safety [PDF]

, 2006
Use of automation in construction is increasing at a rapid pace because it provides ways of dealing with skilled labour shortages, and of improving safety, quality and productivity.
Bosche, Frederic Nicolas, Haas, Carl T.
core  

DENSE 3D POINT CLOUD GENERATION FROM UAV IMAGES FROM IMAGE MATCHING AND GLOBAL OPTIMAZATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
3D spatial information from unmanned aerial vehicles (UAV) images is usually provided in the form of 3D point clouds. For various UAV applications, it is important to generate dense 3D point clouds automatically from over the entire extent of UAV images.
S. Rhee, T. Kim
doaj   +1 more source

Increasing Lipid Nanoparticle mRNA Copy Number Improves Transfection Potency

Advanced Materials, EarlyView.
As lipid nanoparticle (LNP) systems are the leading platform for in vivo nucleic acid delivery, improving transfection potency of these systems is of considerable interest. In this work, we explored a post‐mixing formulation method involving a two‐step buffer exchange that increased the number of mRNA copies within each LNP while reducing the number of
Yao Zhang, Jerry Leung, Judy Cheng, Arash Momeni, Albert Kamanzi, Ariadne Tuckmantel Bido, Suiyang Liao, Emma Kang, Colton Strong, Christian J. Kastrup, Sabrina Leslie, Miffy Hok Yan Cheng, Pieter R. Cullis   +12 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

The 3D Point Clouds Registration for Human Foot [PDF]

, 2018
For personalized design it is important to be able to collect, measure and evaluate individual properties of human beings. This paper proposes registration for the point clouds during foot 3D scanning. In the experiment, we get the point clouds of the human foot from the Artec 3D scanner and complete the registration of the point clouds from different ...
Yi Xie, Xiuqin Shang, Yuqing Li, Xiwei Liu, Fenghua Zhu, Gang Xiong 0001, Susanna Pirttikangas, Jiehan Zhou   +7 more
openaire   +2 more sources

A 3D Point Cloud Classification Method Based on Adaptive Graph Convolution and Global Attention

Sensors
In recent years, there has been significant growth in the ubiquity and popularity of three-dimensional (3D) point clouds, with an increasing focus on the classification of 3D point clouds.
Yaowei Yue, Xiaonan Li, Yun Peng
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

3D Point Clouds in Forest Remote Sensing [PDF]

[EN] 3D Point Clouds in Forest Remote ...
Díaz Varela, Ramón Alberto, González Ferreiro, Eduardo Manuel   +1 more
core   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source