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Computer Vision Tools for Automatic Animal Behavioral Classification in Complex Environments

Computer Vision Tools for Automatic Animal Behavioral Classification in Complex Environments

by Eszter Haseli | Aug 17, 2023

Our research team will develop an accessible computer vision toolbox to automatically track multiple animals and classify their behaviors in complex social environments. We will harness state-of-the-art developments in machine learning and computer vision as well as a...
Probability Mechanisms Map of Dislocation-obstacle Interaction as an Enabler of Physics-based Multiscale Modeling on Precipitation Hardening

Probability Mechanisms Map of Dislocation-obstacle Interaction as an Enabler of Physics-based Multiscale Modeling on Precipitation Hardening

by Eszter Haseli | Aug 17, 2023

Structural materials’ mechanical properties are largely controlled by the evolutions and interactions of their inside microstructural features called defects. In particular, the interaction between line defects (known as dislocations) and other obstacles (e.g....
Multi-scale Continuous Tensor Networks for Quantum Simulations

Multi-scale Continuous Tensor Networks for Quantum Simulations

by Eszter Haseli | Aug 17, 2023

Methods for efficient simulations of quantum many-body problems are essential for theoretical studies of physical and chemical systems where quantum effects are important. These simulations either take the form of solving the high-dimensional Schrodinger Equation for...
Evidential Crystal-Graph Convolutional Neural Networks for Efficient Global Optimization of Electrocatalysts

Evidential Crystal-Graph Convolutional Neural Networks for Efficient Global Optimization of Electrocatalysts

by Eszter Haseli | Aug 17, 2023

Trial-and-error experimental approaches to catalyst discovery are time consuming and expensive. Computational screening of catalysts using quantum mechanical methods such as density functional theory (DFT) modeling are highly useful, but these approaches are still...

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