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Using AFM and Machine Learning to Classify Bulk Mechan
Using AFM and Machine Learning to Classify Bulk Mechan
Using AFM and Machine Learning to Classify Bulk Mechanical Properties of Impact CoPolymers
This article outlines the use of deep learning technology to measure the impact of copolymers and polymers.
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Seungyoonb Yu ,
Kyle Kastner ,
Emily Robertson ,
T Nathan Mundhenk ,
Yoshiyuki Kubota ,
Mr Brian Gallagher ,
Alaa Abdel Latif ,
Rz Ruoqian Lin ,
Jeremy Howard ,
Carar Schiavon ,
Annam Hiszpanski ,
Bruker Nano Surfacesmar ,
Brock Beauchamp ,
Gulcin Pekkurnaz ,
Lyndsey Kirk ,
Zhao Zhang ,
T Young Jin Han ,
Sammy Weiser Novak ,
Fm Linjing Fang ,
Chunyang Wang ,
Zijun Lin ,
Huolinl Xin ,
T Yong Jin Han ,
Melissa Wu ,
Golamg Jaman ,
Xiao Qing Yang ,
Donald Loveland ,
Kristen Harris ,
John Mendenhall ,
Andrew Shaw ,
Young ,
Cnn ,
Jin Han ,
Image Credit ,
Bruker Nano ,
Bruker Nano Surfaces ,
Tong Zhang ,
Compressive Strength ,
Deep Learning ,
Scanning Probe Microscopy ,
Machine Learning ,
Rectangular Scans ,
Compressed Sensing ,
Gaussian Process Optimization ,
Operating Systems Design ,
Polymers ,
Copolymers ,