31 citations · 47 across the 8 of their papers we have counts for
9 papers
Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms
Mani Valleti, Aditya Raghavan, Sergei V. Kalinin
Exploration of complex high-dimensional spaces presents significant challenges in fields such as molecular discovery, process optimization, and supply chain management. Genetic Alg…
Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
Aditya Raghavan, Utkarsh Pratiush, Mani Valleti +6
Physical imaging is a foundational characterization method in areas from condensed matter physics and chemistry to astronomy and spans length scales from atomic to universe. Images…
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
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 functiona…
Deep Kernel Methods Learn Better: From Cards to Process Optimization
Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov +1
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 projec…
Bayesian Optimization in Continuous Spaces via Virtual Process Embeddings
Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov +1
Automated chemical synthesis, materials fabrication, and spectroscopic physical measurements often bring forth the challenge of process trajectory optimization, i.e., discovering t…
Deep Bayesian Local Crystallography
Sergei V. Kalinin, Mark P. Oxley, Mani Valleti +7
The advent of high-resolution electron and scanning probe microscopy imaging has opened the floodgates for acquiring atomically resolved images of bulk materials, 2D materials, and…
Latent mechanisms of polarization switching from in situ electron microscopy observations
Reinis Ignatans, Maxim Ziatdinov, Rama Vasudevan +3
In situ scanning transmission electron microscopy enables observation of the domain dynamics in ferroelectric materials as a function of externally applied bias and temperature. Th…
Exploring particle dynamics during self-organization processes via rotationally invariant latent representations
Sergei V. Kalinin, Shuai Zhang, Mani Valleti +4
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 d…
Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian Process-based Exploration-Exploitation
Sergei V. Kalinin, Mani Valleti, Rama K. Vasudevan +1
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 disc…