Results 121 to 130 of about 1,074,745 (290)

Ideal Molecular Sieving with a Dense MOF for Helium Upgrading with Highly Diffusion Selective Mixed Matrix Membranes

Advanced Functional Materials, EarlyView.
The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal, Laura Calderón‐Rodríguez, Oksana Smirnova, Eren Grossmann, Aparna Binu Varghese, Karen Marlenne Garcia Alvarez, Andreas Schneemann, Thomas Hoyer, Ralf Wyrwa, Felix Helmut Schacher, Alexander Knebel   +10 more
wiley   +1 more source

Adaptive Learning Control for Thermal Error Compensation

, 2020
ISBN:978-3-906916-81 ...
openaire   +3 more sources

Thermal error modeling of servo axis based on optimized LSSVM with gray wolf optimizer algorithm

Case Studies in Thermal Engineering
Thermal error of a CNC machine tool has a serious effect on its machining accuracy. In order to reduce the thermal error, establishing an accurate and robust thermal error model is necessary.
Yang Li, Yue Yang, Jiaqi Wang, Fusheng Liang   +3 more
doaj   +1 more source

A Hybrid Prediction Method of Thermal Extension Error for Boring Machine Based on PCA and LS-SVM

MATEC Web of Conferences, 2017
Thermal extension error of boring bar in z-axis is one of the key factors that have a bad influence on the machining accuracy of boring machine, so how to exactly establish the relationship between the thermal extension length and temperature and predict
Cheng Qiang, Yu Yanwei, Li Guangpeng, Li Weishuo, Sun Bingwei, Cai Ligang   +5 more
doaj   +1 more source

Lipid Nanoparticles for the Delivery of CRISPR/Cas9 Machinery to Enable Site‐Specific Integration of CFTR and Mutation‐Agnostic Disease Rescue

Advanced Functional Materials, EarlyView.
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley, Paul G. Ayoub, Vrishti Sinha, Colin Juett, Alicia Sanoyca, Emily C. Duggan, Lindsay E. Lathrop, Priyanka Bhatt, Kevin Coote, Beate Illek, Brigitte N. Gomperts, Donald B. Kohn, Steven J. Jonas   +12 more
wiley   +1 more source

Application of Machine Tool Thermal Error Compensation in Digital Twin-based System

Journal of Harbin University of Science and Technology
Thermal error significantly affects machining accuracy, demanding careful control. A robust system integrating a highly accurate thermal error model is the key to this control. This can be achieved through deep learning-based models.
MA Chi, LI Minging, LIU Jialan, HE Jialong, HUA Chunlei, WANG Liang   +5 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

Study on new thermal error compensation method for complex surface five-axis machining based on new experimental strategy

Advances in Mechanical Engineering
Five-axis machine tools are well-suited for processing complex surface parts. However, during the machining process, thermal error can have a significant impact on the machining accuracy.
Zheng Zou, Qingdong Zhou, Liang He, Zhengyuan Gao, Yong Yang, Jinghua Ma   +5 more
doaj   +1 more source

Development and Experimental Verification of a Thermal Elongation Prediction Model for Electric Spindles

Machines
Thermal elongation in high-speed motorized spindles constitutes a major source of machining error in five-axis machine tools, critically impacting machining precision.
Xinyu Liu, Lefu Jiang, Han Ye
doaj   +1 more source