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Found 4 papers, 1 papers with code
Weak-signal extraction enabled by deep-neural-network denoising of diffraction data
Here, we show how data can be denoised via a deep convolutional neural network such that weak signals appear with quantitative accuracy.
Symmetry Indicators for Inversion-Symmetric Non-Hermitian Topological Band Structures
We characterize non-Hermitian band structures by symmetry indicator topological invariants.
Mesoscale and Nanoscale Physics
Introduction to Machine Learning for the Sciences
This is an introductory machine-learning course specifically developed with STEM students in mind.
Discovery of unconventional chiral charge order in kagome superconductor KV3Sb5
Here we use high-resolution scanning tunnelling microscopy (STM) to discover an unconventional charge order in a kagome material KV3Sb5, with both a topological band structure and a superconducting ground state.
Superconductivity Materials Science Strongly Correlated Electrons
