NexSolveAI Research Toolkits™

NexSolveAI Research Toolkit 01 Community Edition v1.3: Research-Quality OSC/PSC/DSSC Structure & Energy Band Diagram Builder

By Dr. Muhammad Hassan Sayyad — interactive device templates, editable material parameters, vacuum-referenced energy levels, band offsets, AI-style interpretation, and publication-quality SVG/PNG export.

Interactive Device DesignEdit layer order, materials, thickness, work function, electron affinity, bandgap, and color.
Real-Time Energy AnalysisVisualize Ec/LUMO, Ev/HOMO, Fermi levels, electrode work functions, band bending, and offsets.
Publication-Quality ExportGenerate editable SVG figures and high-resolution PNG images for reports, presentations, and manuscripts.
FREE COMMUNITY EDITION

Guided Learning Path

Follow this sequence to move from semiconductor fundamentals to a complete, publication-ready device and energy-level diagram.

Learning Objectives

ExplainDescribe vacuum level, work function, electron affinity, bandgap, HOMO/LUMO, and Fermi level.
ConstructBuild representative n-i-p PSC, p-i-n PSC, carbon PSC, OSC, and DSSC layer sequences.
EvaluateCompare electron and hole energy offsets at adjacent material interfaces.
InterpretIdentify possible extraction barriers, selective contacts, and energy-alignment limitations.
CustomizeEdit layer thickness, work function, electron affinity, bandgap, type, order, and colour.
CommunicateExport editable SVG and high-resolution PNG figures for teaching, reports, and presentations.

Introduction

Modern photovoltaic devices are multilayer structures in which light absorption, charge generation, carrier selection, transport, and collection are distributed across different functional materials. The sequence of the substrate, transparent conducting electrode, electron-transport layer, absorber, hole-transport layer, interfacial layers, and counter electrode strongly influences charge extraction and recombination.

This Community Edition provides an interactive environment for constructing and comparing representative perovskite solar cells (PSCs), organic solar cells (OSCs/OPVs), and dye-sensitized solar cells (DSSCs). Users can modify layer order and material parameters, then generate a device-structure illustration and a vacuum-referenced energy-level diagram.

Perovskite Solar Cells

PSCs use a metal-halide perovskite absorber between charge-selective contacts. Both conventional n-i-p and inverted p-i-n architectures are widely studied, along with printable carbon-electrode configurations.

Organic Solar Cells

OSCs commonly use donor–acceptor blends. Photoexcitation produces bound electron–hole pairs, and suitable donor–acceptor energy offsets assist charge separation and selective extraction.

Dye-Sensitized Solar Cells

DSSCs combine a dye-sensitized wide-bandgap semiconductor, a redox electrolyte, and a counter electrode. Electron injection and dye regeneration depend on the relative energy levels of these components.

Theory and Scientific Background

1. Vacuum-referenced energy scale

The diagram uses the vacuum level, Evac = 0 eV, as the common reference. Electron energies in a solid are therefore shown as negative values below vacuum. For a semiconductor with electron affinity χ and bandgap Eg, this toolkit estimates:

EC = −χ     and     EV = −(χ + Eg)

Here EC represents the conduction-band minimum for inorganic semiconductors or an approximate LUMO level for organic materials; EV represents the valence-band maximum or an approximate HOMO level.

2. Work function and Fermi level

The work function Φ is the energy needed to move an electron from the Fermi level to vacuum. The toolkit therefore places the approximate Fermi level at:

EF ≈ −Φ

For conductors and electrodes, the displayed horizontal level is based primarily on the work function. Actual values can vary with surface treatment, composition, doping, crystal orientation, contamination, and measurement method.

3. Interfacial band offsets

At an interface between adjacent semiconductor layers 1 and 2, the electron and hole energy discontinuities are represented as:

ΔEC = EC,2EC,1     and     ΔEV = EV,2EV,1

These offsets help users identify possible extraction barriers and carrier-blocking behavior. A favorable contact should facilitate transport of the desired carrier while suppressing the opposite carrier; however, performance cannot be predicted from offsets alone because defects, dipoles, recombination kinetics, mobility, doping, and morphology are also important.

4. Built-in potential and schematic band bending

When contacts with different work functions form a device, charge redistribution can establish an internal electrostatic potential. The toolkit uses the contact work-function difference as a simple estimate:

Vbi ≈ |Φright − Φleft| / q

Because work functions entered in electron-volts have the same numerical difference as volts per elementary charge, the displayed estimate is numerically the work-function difference in volts. The adjustable band-bending factor applies a schematic linear potential shift across the stack for visualization.

5. Interpretation of the three device families

Model limitation: This Community Edition is an educational and preliminary design tool. It does not solve Poisson, continuity, drift–diffusion, exciton-diffusion, ion-migration, or electrochemical transport equations. Material values are representative starting points and should be replaced with experimentally measured or literature-validated values for research use.

Representative Materials Database

The values below are the editable starting values used by this Community Edition. They are representative—not universal—and can vary with composition, fabrication, doping, surface treatment, morphology, and measurement method.

MaterialFunctionTypical thickness (nm)Work function (eV)Electron affinity χ (eV)Bandgap Eg (eV)
FTOTransparent conductor5004.404.003.50
ITOTransparent conductor1504.704.503.70
SnO₂Electron-transport layer354.504.003.60
TiO₂Electron-transport layer50–1804.204.003.20
MAPbI₃Perovskite absorber5004.803.901.55
CsFAMA perovskitePerovskite absorber5504.803.951.58
PM6:Y6Organic donor–acceptor absorber1104.703.901.40
PTAAHole-transport layer205.202.203.00
Spiro-OMeTADHole-transport layer1805.102.203.00
NiOₓHole-transport layer305.201.903.70
CarbonElectrode10,0005.004.800.00
Au / Ag / AlMetal electrode80–1004.30–5.100.00

Use the Layer Stack Editor to replace these defaults with values appropriate to your own materials and cited experimental conditions.

Device Templates

Layer order is from bottom/substrate side to top electrode. Drag rows to reorder.

Layer Stack Editor

TypeMaterialt nmWFχEgColor

Figure Settings

Calculated Metrics

AI-Style Interpretation

Research-Quality Layer Structure

Research-Quality Energy Band Diagram

1. Choose a template

Review the Introduction and Theory, then select an n-i-p PSC, p-i-n PSC, carbon PSC, OSC, or DSSC architecture to load a complete starting structure.

2. Edit the device stack

Change layer order, material, thickness, work function, electron affinity, bandgap, and display colour. Drag rows to reorder layers.

3. Generate and export

Update the structure and energy-band diagrams, review calculated metrics and interpretation, then export SVG, PNG, JSON, or PDF.

Interactive Concept Explorer

Select a term to review its role in the diagram and in photovoltaic device operation.

Choose a term above.
The explanation will appear here without leaving the simulation.

Upgrade beyond the Community Edition

Access expanded materials, advanced analysis, project management, enhanced AI interpretation, and professional licensing.

Searchable Glossary

Release Notes

Version 1.3 — Related Toolkits Expansion

Added User Guide to the primary navigation and expanded the Related NexSolveAI Research Toolkits™ section with Toolkits 02–06 for electrical, transient, optical, and photoluminescence characterization.

Version 1.2 — Learning Platform Update

Added guided learning path, learning objectives, materials database, concept explorer, searchable glossary, related-toolkit cards, suggested citation, expanded About information, and clearer model limitations.

Version 1.1 — Navigation and Theory Update

Added professional navigation, introduction, scientific theory, selected references, user guide, responsive layout, and edition-upgrade section.

Selected References and Further Reading

  1. M. A. Green, A. Ho-Baillie, and H. J. Snaith, “The emergence of perovskite solar cells,” Nature Photonics, 8, 506–514 (2014). DOI
  2. A. Kojima, K. Teshima, Y. Shirai, and T. Miyasaka, “Organometal halide perovskites as visible-light sensitizers for photovoltaic cells,” Journal of the American Chemical Society, 131, 6050–6051 (2009). DOI
  3. B. O’Regan and M. Grätzel, “A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO₂ films,” Nature, 353, 737–740 (1991). DOI
  4. C. Deibel and V. Dyakonov, “Polymer–fullerene bulk heterojunction solar cells,” Reports on Progress in Physics, 73, 096401 (2010). DOI
  5. B. A. Gregg, “Excitonic solar cells,” Journal of Physical Chemistry B, 107, 4688–4698 (2003). DOI
  6. U.S. Department of Energy, “Perovskite Solar Cells” and “Perovskite Research Directions.” DOE overview
  7. National Renewable Energy Laboratory, “Organic Photovoltaic Solar Cells.” NREL overview
  8. S. M. Sze and K. K. Ng, Physics of Semiconductor Devices, 3rd ed., Wiley (2007), for work functions, energy bands, junction electrostatics, and carrier transport.

References provide foundational background. The material parameters embedded in the toolkit are representative values and are not claimed to reproduce a single measurement condition or publication.

About, License, and Citation

Toolkit Scope

Browser-based structure design and vacuum-referenced energy-level visualization for organic, perovskite, carbon-based, and dye-sensitized solar cells.

Community License

Designed for personal learning, classroom demonstrations, preliminary research visualization, and evaluation of the NexSolveAI platform. Confirm licensing before commercial use.

Version and Author

NexSolveAI Research Toolkit™ 01 Community Edition v1.2, developed by Dr. Muhammad Hassan Sayyad.

Suggested Citation

Sayyad, M. H. (2026). NexSolveAI Research Toolkit™ 01: Research-Quality OSC/PSC/DSSC Structure & Energy Band Diagram Builder, Community Edition v1.2. NexSolveAI.

Scientific-use notice

The generated band diagrams are schematic, vacuum-referenced design aids. They do not replace experimentally measured energy levels, interface-specific characterization, or full semiconductor/electrochemical device simulation. Cite the source of any parameter values used in scholarly work.

Edition Comparison

Compare Community, Research and Professional Editions of NexSolveAI Research Toolkit™ 01

Feature Community Edition
FREE
Research Edition
Request Quote
Professional Edition
Request Quote
01
Device Structure Builder
02
Pre-built Device Templates
5 TemplatesUnlimitedUnlimited
03
Material Database
Basic (~40 materials)Comprehensive (100+ materials)Comprehensive (100+ materials)
04
Custom Material Entry
05
Energy Band Diagram
06
Interface Analysis
07
Contact & Barrier Analysis
08
Carrier Flow Visualization
09
Device Comparison
(Up to 10 devices) (Unlimited)
10
Parameter Sweeps
11
Design Validation & Scoring
BasicAdvancedAdvanced + AI Insights
12
AI-Powered Research Reports
BasicAdvancedExpert with Explanations
13
Export (SVG, PNG, CSV, JSON)
SVG, PNGSVG, PNG, CSV, JSONSVG, PNG, CSV, JSON + Report (PDF)
14
Optical Simulation
15
Drift–Diffusion Simulation
16
J–V & EQE Simulation
17
Optimization & AI Design Assistant
18
Experimental Data Fitting
19
Priority Support
Community ForumEmail SupportPriority Email + Live Support
20
Commercial / Research Use
Non-commercial only Allowed Allowed
21
License
Personal / EducationalCommercial Research LicenseCommercial / Enterprise License