2021
DOI: 10.1016/j.solener.2021.03.017
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Defects signature in VOC characterization of thin-film solar cells

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Cited by 31 publications
(17 citation statements)
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“…across heterojunctions’ optoelectrical solar cell device using appropriate conditions, defect models, script files, recorder setup, etc. [ 49–58 ] It is a Poisson–Schrodinger solver in one dimension which iteratively solves coupled electrostatic Poisson's and continuity equations, drift‐diffusion equation and generation–recombination profiles, using the Gummel iteration method with Newton–Ralphson substeps alongside the length of the device, at the junction under various illumination and biasing conditions. Applying relevant boundary conditions at the interfaces and different contacts, SCAPS solves the coupled differential equations in (Ψ, n , p ) or (Ψ, E Fn , E Fp ).Jnormaln=μnormalnnqdEFndxJnormalp=μnormalppqdEFpdxdJnormalndxUnormaln+G=dndtdJnormalpdxUnormalp+G=dpdtddx(ε0εnormalrdx)=q(pn+NnormalD+NnormalA+ρdefq)where Ψ is the electrostatic potential, ε 0 and ε r is the permittivity of vacuum and semiconductor, n and p are the respective carrier densities, N D + are N...…”
Section: Methodsmentioning
confidence: 99%
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“…across heterojunctions’ optoelectrical solar cell device using appropriate conditions, defect models, script files, recorder setup, etc. [ 49–58 ] It is a Poisson–Schrodinger solver in one dimension which iteratively solves coupled electrostatic Poisson's and continuity equations, drift‐diffusion equation and generation–recombination profiles, using the Gummel iteration method with Newton–Ralphson substeps alongside the length of the device, at the junction under various illumination and biasing conditions. Applying relevant boundary conditions at the interfaces and different contacts, SCAPS solves the coupled differential equations in (Ψ, n , p ) or (Ψ, E Fn , E Fp ).Jnormaln=μnormalnnqdEFndxJnormalp=μnormalppqdEFpdxdJnormalndxUnormaln+G=dndtdJnormalpdxUnormalp+G=dpdtddx(ε0εnormalrdx)=q(pn+NnormalD+NnormalA+ρdefq)where Ψ is the electrostatic potential, ε 0 and ε r is the permittivity of vacuum and semiconductor, n and p are the respective carrier densities, N D + are N...…”
Section: Methodsmentioning
confidence: 99%
“…[40][41][42][43][44][45][46][47][48] setup, etc. [49][50][51][52][53][54][55][56][57][58] It is a Poisson-Schrodinger solver in one dimension which iteratively solves coupled electrostatic Poisson's and continuity equations, drift-diffusion equation and generationrecombination profiles, using the Gummel iteration method with Newton-Ralphson substeps alongside the length of the device, at the junction under various illumination and biasing conditions. Applying relevant boundary conditions at the interfaces and different contacts, SCAPS solves the coupled differential equations in (Ψ, n, p) or (Ψ, E Fn , E Fp ).…”
Section: Simulation Detailsmentioning
confidence: 99%
“…It is well established that 1) intrinsic defect‐assisted recombination resulted from deep‐level carrier traps in the bulk and 2) interface‐induced recombination resulted from unfavorable band alignment, small‐sized gain boundary, and mismatched lattice at interface and surface are main causes for large V OC ‐deficit characteristics in inorganic‐based TFSCs. [ 70 ] According to the previous defect study for GeSe‐based TFSCs, the deep‐level defect densities for Se Ge (at 0.35 eV) and Ge Se (at 0.51 eV) were estimated to be ≈10 12 cm −3 , while bulk defect density of GeSe was ≈10 15 cm −3 dominated by V Ge [14a] . This study suggested that the abundant intrinsic defect with low formation energies can form only shallow levels, while high formation energy of deep‐level defects is low concentrations.…”
Section: Optoelectronic Applicationsmentioning
confidence: 99%
“…Graphene has revolutionized materials science and engineering. Applications spanning over electronic chips, electron tunneling devices, LEDs, solar cells, energy sector, laser shields, light combat aircraft, night vision cameras, advanced electronic gadgets, SERS based molecular detection, gas sensing prompt disease (viral/cancer/diabetic) diagnosis [ 2 19 ], etc. have rendered it a wonder material.…”
Section: Introduction To 2d Materialsmentioning
confidence: 99%