3 papers
cond-mat.mtrl-sci2026
PtyRANNOSAUR: Ptychography with Robust Artificial Neural Networks Optimized for Sub-Angstrom Accuracy and Ultrafast Reconstruction
Kieran Loehr, Rahim Raja, Xiaochuan Ding +5
We present PtyRANNOSAUR, a data-driven neural network code that reconstructs atomic resolution electron ptychography data in seconds, 10-100x faster than standard methods. PtyRANNO…
cond-mat.str-el2025
Enhancing Neural Network Backflow
Kieran Loehr, Bryan K. Clark
Accurately describing the ground state of strongly correlated systems is essential for understanding their emergent properties. Neural Network Backflow (NNBF) is a powerful variati…
cond-mat.mes-hall2019
Identifying Higher Order Topology and Fractional Corner Charge Using Entanglement Spectra
Penghao Zhu, Kieran Loehr, Taylor L. Hughes
We study the entanglement spectrum (ES) of two-dimensional -symmetric second-order topological insulators (TIs). We show that some characteristic higher order topological ob…