Synthesis of CdZnTeSe single crystals for room temperature radiation detector fabrication: mitigation of hole trapping effects using a convolutional neural network

Signal Discrimination in CZTS Gamma Detectors Using Self-Supervised Deep Learning Models

“…• The CNN was trained on the equivalent of 90% of the simulated data and validated on 10% simulated data. The predictions of the CNN were within 0.2% of the actual energy [6].…”

“…• In our previous work, machine learning (ML) models based on pattern recognition convolutional neural network (CNN) was successfully employed to identify incident gamma energies with high efficiency in CZTS detectors [5,6].…”