Search Results for author: Mani Valleti

Found 4 papers, 2 papers with code

Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders

1 code implementation30 Mar 2023 Mani Valleti, Yongtao Liu, Sergei Kalinin

Electron, optical, and scanning probe microscopy methods are generating ever increasing volume of image data containing information on atomic and mesoscale structures and functionalities.

Deep Kernel Methods Learn Better: From Cards to Process Optimization

no code implementations25 Mar 2023 Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin

The ability of deep learning methods to perform classification and regression tasks relies heavily on their capacity to uncover manifolds in high-dimensional data spaces and project them into low-dimensional representation spaces.

Active Learning

Exploring particle dynamics during self-organization processes via rotationally invariant latent representations

no code implementations2 Sep 2020 Sergei V. Kalinin, Shuai Zhang, Mani Valleti, Harley Pyles, David Baker, James J. De Yoreo, Maxim Ziatdinov

The dynamic of complex ordering systems with active rotational degrees of freedom exemplified by protein self-assembly is explored using a machine learning workflow that combines deep learning-based semantic segmentation and rotationally invariant variational autoencoder-based analysis of orientation and shape evolution.

Soft Condensed Matter

Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian Process-based Exploration-Exploitation

1 code implementation9 Apr 2020 Sergei V. Kalinin, Mani Valleti, Rama K. Vasudevan, Maxim Ziatdinov

Statistical physics models ranging from simple lattice to complex quantum Hamiltonians are one of the mainstays of modern physics, that have allowed both decades of scientific discovery and provided a universal framework to understand a broad range of phenomena from alloying to frustrated and phase-separated materials to quantum systems.

Materials Science Computational Physics

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