Community Edition · MF-01 of 30

Carbon-Based Perovskite Solar Cell Microfactory

An interactive browser-based learning and production-planning environment for the fabrication of carbon-electrode, mesoscopic perovskite solar cells using printable TiO₂, ZrO₂, and carbon layers.

Platform Overview

Learn the complete microfactory workflow

MF-01 Community Edition introduces the device architecture, materials, production stations, process sequence, operating conditions, quality checks, and basic yield optimization required for pilot manufacturing.

10

Interactive Process Steps

Follow the workflow from FTO preparation and oxide printing to infiltration, annealing, testing, and yield review.

6

Functional Device Layers

Explore the printable monolithic stack and understand the role of every material and interface.

1

Integrated Digital Twin

Run a simplified production simulation and observe cycle time, temperature, quality, and estimated output.

Device Architecture

Monolithic carbon-based perovskite solar cell stack

The Community Edition uses the representative stack: FTO | compact TiO₂ | mesoporous TiO₂ | ZrO₂ | Carbon | Perovskite | Encapsulation.

FTOTransparent conductive substrate
c-TiO₂Compact electron-selective layer
m-TiO₂Mesoporous electron-transport scaffold
ZrO₂Insulating spacer and pore structure
CarbonPrintable counter electrode
PerovskiteLight absorber infiltrated through the porous stack

Why a monolithic stack?

The mesoporous oxide and carbon layers can be deposited sequentially before the absorber is infiltrated, enabling a printable architecture that avoids vacuum-deposited noble-metal electrodes.

Community Edition focus

Parameters and outputs are educational estimates. They support process understanding, comparison, and planning rather than certified manufacturing or device qualification.

Digital Process Simulation

Run the MF-01 production line

Select any step for details or start the automated simulation to follow the complete sequence.

Microfactory Digital Twin
Educational production-flow simulation
1/10Current step
25 °CProcess temperature
0 sElapsed cycle time
96.0%Estimated quality yield
Basic Process Optimizer

Explore how operating conditions affect production

Adjust representative conditions to estimate relative process quality, cycle time, and output.

Estimated Community-Edition Results

87.6%Process quality score
150 sSimulated cycle time
24.0Units/hour equivalent
ModerateProcess-risk level
Learning Studio

What users can learn from MF-01

Learning outcomes

  • Identify the function of FTO, compact TiO₂, mesoporous TiO₂, ZrO₂, carbon, and perovskite.
  • Explain the sequence of printing, annealing, infiltration, encapsulation, and testing.
  • Recognize how temperature stability and coating quality influence yield.
  • Estimate production rate from cycle time and process availability.
  • Distinguish laboratory fabrication from pilot-scale microfactory planning.

Suggested activities

  • Run the full process simulation and record the temperature of each station.
  • Compare high and low printing-quality settings in the optimizer.
  • Identify the three highest-risk production steps.
  • Prepare a proposed quality-control checklist for a pilot line.
  • Develop a scale-up plan for adding parallel printing or annealing stations.
Edition Pathway

Start with learning and progress toward deployment

Community Edition

Interactive device stack, guided process sequence, simplified digital twin, basic optimizer, and learning activities.

Research Edition

Expanded materials, experimental datasets, process windows, parameter sweeps, device-performance correlations, and publication-quality reports.

Professional Edition

Facility planning, equipment specifications, production costing, quality systems, maintenance, automation, traceability, workforce planning, and commercialization support.

NexSolveAI Microfactory™ MF-01 is designed as part of the broader NexSolveAI ecosystem connecting Research Toolkits™, Virtual Laboratories™, Digital Twins™, AI Assistants™, Training Hub™, Expert Services™, and Microfactory Commercialization™.