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Learning Collective Variables with Synthetic Data Augmentation through
  Physics-Inspired Geodesic Interpolation
v1v2v3v4 (latest)

Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation

2 February 2024
Soojung Yang
Juno Nam
Johannes C. B. Dietschreit
Rafael Gómez-Bombarelli
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic Interpolation"

1 / 1 papers shown
Title
A Supervised Machine Learning Framework for Multipactor Breakdown Prediction in High-Power Radio Frequency Devices and Accelerator Components: A Case Study in Planar Geometry
A Supervised Machine Learning Framework for Multipactor Breakdown Prediction in High-Power Radio Frequency Devices and Accelerator Components: A Case Study in Planar Geometry
Asif Iqbal
John Verboncoeur
Peng Zhang
65
0
0
23 Jul 2025
1