Evidence map›Paper›PMID 42009704›Full record

ArticleScientific reports2026

Numerical simulation of thickness-dependent carrier collection efficiency in SnSe absorber layers.

R Ayyappa, Radwa Marzouk, Hatim Dafaalla, Mohammed A AlAqil

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

R AyyappaDepartment of Computer Science and Business Systems, E.G.S. Pillay Engineering College, Nagapattinam, Tamil Nadu, 611002, India. ayyappa@egspec.org.
Radwa MarzoukDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O.Box 84428, 11671, Riyadh, Saudi Arabia.
Hatim DafaallaDepartment of Information Systems, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia.
Mohammed A AlAqilDepartment of Electrical Engineering, College of Engineering, King Faisal University, AlAhsa, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SnSe-based photovoltaic absorbers offer a standard for attaining exceptionally high-performance and comparatively cost-effective solar energy conversion across a wide thickness range. This work investigates a comprehensive numerical assessment of thickness dynamics affecting energy acquisition, carrier acquisition, and recombination mechanisms within SnSe photovoltaic absorbers. The model integrates spatial photogeneration, drift–diffusion transport, and trap-assisted recombination to quantify the interaction between absorption enhancement and carrier-extraction efficiency across the absorber layer. The analysis combines detailed recombination kinetics and foundational diode characteristics to substantial changes in [Formula: see text], [Formula: see text], and fill factor for diverse different film thicknesses. A thorough evaluation of inherent collection probability, fractional recombination fractions, and measured lifetime degradation allows the precise identification of an optimal absorber thickness range that ultimately maximizes conversion efficiency. These observations confirm that increased thickness significantly improves optical absorption but always introduces significant electrical penalties, invariably dictating the maximum achievable power conversion efficiency. Bandgap verification using crucial absorption-edge data verifies the essential direct-gap of the material and the complete thickness of independence of the main optical transition. Parametric extraction across specific thickness points consistently highlights noticeable nonlinear trends in [Formula: see text], [Formula: see text], FF, and ultimate efficiency, closely following complex transport and internal recombination mechanisms. The outcomes demonstrate that appropriate absorber thickness certainly plays a critical role in balancing crucial optical and essential electrical processes within robust SnSe photovoltaic structures. The comprehensive modeling framework provides valuable quantitative insight into perfectly optimizing SnSe absorber layers for premier high-performance thin-film solar-cell applications.

Indexed as

BandgapNumerical simulationPhotovoltaicRenewable energySnSe absorber layer

Identifiers

PMID42009704
PMCPMC13261034

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.