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Pair-Variational Autoencoders (PairVAE) for Linking and
  Cross-Reconstruction of Characterization Data from Complementary Structural
  Characterization Techniques

Pair-Variational Autoencoders (PairVAE) for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques

25 May 2023
Shizhao Lu
A. Jayaraman
ArXivPDFHTML

Papers citing "Pair-Variational Autoencoders (PairVAE) for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques"

2 / 2 papers shown
Title
Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images
  Generated from Polymer Blends
Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends
Aanish Paruchuri
Yunfei Wang
Xiaodan Gu
Arthi Jayaraman
25
3
0
15 Sep 2024
Neural network based order parameter for phase transitions and its
  applications in high-entropy alloys
Neural network based order parameter for phase transitions and its applications in high-entropy alloys
Junqi Yin
Zongrui Pei
M. Gao
31
27
0
12 Sep 2021
1