3 papers
physics.ins-det2026
A Kalman Filter Based Approach to NV Diamond Data Fusion For Improved Temperature Sensing
Shraddha Rajpal, Qiaochu Guo, Brendon A. McCullian +2
Nitrogen-vacancy (NV) centers in diamond have been demonstrated to enable highly sensitive temperature measurements using multiple modalities. Standalone optically detected magneti…
cs.LG2026
Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces
Jeanie Schreiber, Tyrus Berry, Zeeshan Ahmed
Principal Component Analysis or PCA-like properties (orthogonality, variance ranking) are seldom realized in deep autoencoder architectures. In this work, we present ODIN (Orthogon…
physics.comp-ph2025
Dependence of Microstructure Classification Accuracy on Crystallographic Data Representation
Shrunal Pothagoni, Dylan Miley, Tyrus Berry +2
Convolutional neural networks are increasingly being used to analyze and classify material microstructures, motivated by the possibility that they will be able to identify relevant…