LEARNINGInstructSingleCRYSTALGROWTHFLUXMethodGrowth of high-quality single crystals is of great significance for research of condensed matter physics. The exploration of suitable growing conditions for single crystals is expensive and time-consuming, especially for ternary compounds because of the lack of ...
Here, we report a real-time feedback control method to realize the growth of QDs with arbitrary density, which is fully automated and intelligent. We develop a machine learning (ML) model named 3D ResNet 50 trained using reflection high-energy electron diffraction (RHEED) videos as input ...
“Initially, I was surprised, given it’s the Nobel Prize in Physics, and their work was in AI and machine learning,” says Padhraic Smyth, a distinguished professor at the University of California, Irvine. “But thinking about it a bit more, it was clearer to me why [the Nobel Prize...
We present a machine learning approach for high-throughput crystal orientation mapping, which relies on the optical technique called directional reflectance microscopy. We successfully apply our method on Inconel 718 specimens produced by additive manufacturing, which exhibit complex, spatially-varying ...
Semantic segmentation in crystal growth process using fake micrograph machine learning Takamitsu Ishiyama Takashi Suemasu Kaoru Toko Scientific Reports (2024) Towards the application of machine learning in digital twin technology: a multi-scale review Luigi Nele Giulio Mattera Silvestro Vespoli Discov...
Studies from Shanghai Jiao Tong University Provide New Data on Machine Learning (Exploring high thermal conductivity polymers via interpretable machine learning ... - 《Robotics & Machine Learning Daily News》 被引量: 0发表: 2023年 Oxygen permeability of perovskite-type Sr0.7Ce0.3MnO3-delta The av...
Two kaolinite machine learning potentials (MLPs) were created based on a dataset that consists of the results of the first-principles calculations with the Perdew–Burke–Ernzerhof (PBE) generalized gradient approximation (GGA) and the strongly constrained and appropriately normed (SCAN) mata-GGA ...
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Tamil Nadu, India, by NewsRx correspondents, research stated, "Crop yield prediction is a...
Alloy modelling has a history of machine-learning-like approaches, preceding the tide of data-science-inspired work. The dawn of computational databases has made the integration of analysis, prediction and discovery the key theme in accelerated alloy research. Advances in machine-learning methods and...
Substrate-catalyzed growth offers a highly promising approach for the controlled synthesis of carbon nanostructures. However, the growth mechanisms on dynamic catalytic surfaces and the development of more general design strategies remain ongoing challenges. Here we show how an active machine-learning model...