2021
DOI: 10.1016/j.mseb.2021.115260
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High-sensitivity and broadband PEDOT:PSS–silicon heterojunction photodetector

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Cited by 18 publications
(4 citation statements)
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“…Moreover, the achieved values of R λ and D λ are comparable to that of state‐of‐the‐art heterojunction‐based Si detectors (Table S1, Supporting Information). [ 17,19,49–57 ]…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Moreover, the achieved values of R λ and D λ are comparable to that of state‐of‐the‐art heterojunction‐based Si detectors (Table S1, Supporting Information). [ 17,19,49–57 ]…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, the achieved values of R λ and D λ are comparable to that of state-of-the-art heterojunction-based Si detectors (Table S1, Supporting Information). [17,19,[49][50][51][52][53][54][55][56][57] The detection speed was tested under a 1000 Hz light pulse. The rise time was estimated as a required time for the current to reach 90% of the stabilizing level under light injection; the decay time was defined as the time required to fall to 10% of the saturation level after turning off the light source.…”
Section: Optoelectronic Properties Of Ocvd Pedot-covered Black-si Det...mentioning
confidence: 99%
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“…[7] Despite the significance of photodetectors and the progress made in machine learning (ML) techniques, a research gap exists in the comprehensive ML modeling of photodetector performance prediction. Existing experimental studies have predominantly focused on specific aspects of photodetector optimization, such as material characterization, [8,9] device architecture, [10][11][12] or fabrication process refinement. [13,14] However, there is a noticeable lack of research dedicated to predicting photodetector responsivity using ML models.…”
Section: Introductionmentioning
confidence: 99%