Classification of platinum nanoparticle catalysts using machine learning
نویسندگان
چکیده
منابع مشابه
Dendrimer-encapsulated nanoparticle precursors to supported platinum catalysts.
In this contribution, we report the successful preparation of supported metal catalysts using dendrimer-encapsulated Pt nanoparticles as metal precursors. Polyamidoamine (PAMAM) dendrimers were first used to template and stabilize Pt nanoparticles prepared in solution. These dendrimer-encapsulated nanoparticles were then deposited onto a commercial high surface area silica support and thermally...
متن کاملZwitterionic amidinates as effective ligands for platinum nanoparticle hydrogenation catalysts.
Ligand control of metal nanoparticles (MNPs) is rapidly gaining importance as ligands can stabilize the MNPs and regulate their catalytic properties. Herein we report the first example of Pt NPs ligated by imidazolium-amidinate ligands that bind strongly through the amidinate anion to the platinum surface atoms. The binding was established by 15N NMR spectroscopy, a precedent for nitrogen ligan...
متن کاملComparison of Machine Learning Algorithms for Broad Leaf Species Classification Using UAV-RGB Images
Abstract: Knowing the tree species combination of forests provides valuable information for studying the forest’s economic value, fire risk assessment, biodiversity monitoring, and wildlife habitat improvement. Fieldwork is often time-consuming and labor-required, free satellite data are available in coarse resolution and the use of manned aircraft is relatively costly. Recently, unmanned aeria...
متن کاملClassification of Scientific Papers Using Machine Learning
The project aims to develop a domain-independent and adaptive approach for scientific document classification using both information fromdocument contents and citation links. We evaluate several content-based classification methods including K-nearest neighbours, nearest centroid, naive Bayes and decision trees and find that the naive Bayes outperform other when training set is sufficiently lar...
متن کاملClassification of Percussive Sounds using Machine Learning
In this master thesis the focus have been on machine learning using convolutional neural networks and more specifically multi-class classification of percussive instruments. Recent advances in the CNN domain makes this a competitive field of research compared with other machine learning algorithms. I present a modified CNN based on work from different past and present research. Different archit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Physics
سال: 2020
ISSN: 0021-8979,1089-7550
DOI: 10.1063/5.0009129