GitHub

AirNet-SNL: End-to-End Training of Iterative Reconstruction and Deep Neural Network Regularization for Sparse-Data XPCI CT

AirNet-SNL is a Python package for computed tomography (CT) reconstruction. It implements a machine learning model to reconstruct 2D slices from 1D projections. The AirNet-SNL model is an end-to-end ...
IEEE

High Sensitivity and High Throughput Magnetic Flow CMOS Cytometers With 2D Oscillator Array and Inter-Sensor Spectrogram Cross-Correlation

Abstract: In the paper, we present an integrated flow cytometer with a 2D array of magnetic sensors based on dual-frequency oscillators in a 65-nm CMOS process, with the chip packaged with ...
GitHub

A python library to generate atomistic 2D and 3D representations of peptides

From the publication pyPept: a python library to generate atomistic 2D and 3D representations of peptides Journal of Cheminformatics, 2023, 15:79 Authors: Rodrigo Ochoa, J.B Brown, Thomas Fox Here we ...
IEEE

Modeling of 2D photonic crystals by using the method of lines

Abstract: In our work we examined 2-dimensional photonic crystals. For modeling we used the method of lines (MoL). We analyzed waveguides, filters and concatenation of two bends. Results are in good ...
Phys.org

MRI technology inspires quantum advancement with 2D materials

The same technology behind MRI images of injury or disease also powers nuclear magnetic resonance (NMR) spectroscopy, which is used to analyze biological molecules for research on diseases and ...