Analysis and Prediction of Dark Current Mechanisms in Si:P Blocked Impurity Band (BIB) Infrared Detectors
Mengyang Cui, Hongxing Qi, Chengduo Hu, Qing Li
TL;DR
This work addresses nonlinear dark current phenomena in Si:P BIB detectors, including negative differential resistance (NDR) and current oscillations. It develops a hybrid physical model combining hopping conduction and current-path clustering due to dopant nonuniformity with space-charge limited current (SCLC) theory, capturing field-dependent transport via $\sigma(E) \approx \sigma(0) \exp(- e E L_0 /(2 k T))$ and related trapping dynamics under $ e E L_0 \gg k T$. A six-feature TransformerRegressor is trained on tens of thousands of dark-current measurements to predict log current, achieving RMSE 2.11, MAE 1.36, and R^2 0.60 on a held-out test set, with BT and LA identified as key design levers. The study demonstrates a principled path to rapid detector optimization by integrating physics-based understanding with data-driven prediction, offering design guidance for reducing dark current while maintaining high quantum efficiency.
Abstract
We investigated the nonlinear phenomena observed in the dark current of BIB (blocked-impurity-band) infrared detectors, including negative differential resistance (NDR) and current oscillations. Our analysis systematically elucidated the intrinsic transport mechanisms in optimized devices, revealing that these anomalies arise from current path clustering induced by structural disorder and impurity band conduction dynamics. Notably, the simulated current-voltage (I-V) characteristics demonstrated strong agreement with experimental measurements across a wide bias range, confirming the validity of our proposed physical model.Furthermore, we developed a transformer-based predictive model using experimental dark current datasets. The model achieved robust performance metrics and this framework enables rapid prediction of dark current trends under varying operational conditions, providing actionable insights for detector optimization.
