One-sentence conclusion: A high-credibility QFLS presentation is never an isolated single-point value, but rather a self-consistent framework built on “iVOC—measured VOC—PLQY—light-intensity dependence,” using a multi-dimensional data chain to demonstrate consistency between material voltage potential and device performance. This article focuses on manuscript preparation and peer-review strategy as an integrated application piece in the series.

Credibility comes from cross-validation: three things must be demonstrated

Item 1 | Traceability of the derivation chain

The calibration pathway for absolute QFLS values must be explicitly defined, including photon-counting methodology, geometric correction factors, and all assumptions involved in the calculation. Any experiment that cannot be reproduced by reviewers immediately loses credibility.

Item 2 | Physical interpretation of the voltage gap

The discrepancy between internal QFLS-derived VOC (iVOC) and experimentally measured VOC must be physically justified, attributed to interfacial recombination, energy-level misalignment, or charge extraction barriers, rather than treated as an unexplained black box.

Item 3 | Injection-dependent support of recombination mechanisms

Evidence from different excitation intensities must be provided, such as ideality factor or slope evolution, to support claims of reduced non-radiative recombination. Reporting QFLS at only a single 1-sun point will likely be insufficient to convince reviewers of general validity.

Minimal essential figure set

Figure 1 | Comparison of QFLS (iVOC) and measured VOC

Plot iVOC and measured VOC under identical equivalent injection levels and temperature conditions.

Key question: Does QFLS truly reflect device voltage potential? Are discrepancies driven by material limitations or device-level losses?

Figure 2 | Relationship between PLQY and QFLS

Show the logarithmic relationship between photoluminescence quantum yield and quasi-Fermi level splitting under absolute calibration.

Key question: Is the derivation consistent with thermodynamic and radiative recombination models? Is the calculation chain traceable?

Figure 3 | QFLS (iVOC) vs light-intensity dependence

Extract slope evolution to analyze changes in ideality factor with injection level.

Key question: Does the recombination mechanism transition from SRH-dominated to radiative-limited? Does improvement approach n → 1?

Figure 4 | Measured J–V and FF analysis

Combine Suns-VOC or electroluminescence data to present full device output characteristics.

Key question: Are efficiency losses dominated by series resistance, carrier extraction barriers, or bulk recombination?

Four most common reviewer questions

Question 1 | How is “1-sun equivalent injection” defined?

The full conversion pathway must be specified, either via short-circuit current (JSC) matching or photon flux calibration, rather than simply reporting laser power. Carrier generation rate calibration is required.

Question 2 | How is PLQY calibrated and is geometry consistent?

An integrating sphere calibration procedure must be described, along with reference standards and methods ensuring consistent optical collection geometry across different sample structures (thin films vs devices).

Question 3 | Has steady state been reached and is hysteresis present?

Time-resolved traces or up/down scan curves must be provided to confirm convergence of slow processes such as ion migration. A fixed waiting time alone is insufficient.

Question 4 | Are measurements comparable across different device conditions?

All experimental conditions—including light intensity definition, temperature, geometry, and steady-state protocol—must be standardized and cross-calibrated across batches or laboratories.

Common writing pitfalls

Pitfall 1 | Reporting only single-point QFLS values

A full QFLS–light-intensity curve should be provided, allowing extraction of the ideality factor. Otherwise, mechanistic interpretation is not supported.

Pitfall 2 | Incomplete calibration chain description

The definition of 1-sun equivalence and geometric correction parameters must be explicitly stated to ensure reproducibility.

Pitfall 3 | Misuse of Implied J–V

Clearly label Implied or Pseudo J–V and explain that it represents a recombination-limited ideal rather than actual device performance.

Role of measurement tools in manuscript preparation

QFLS-Maper integrates PL/PLQY and QFLS calculations within a unified calibration framework, enabling outputs such as iVOC comparison data, light-intensity dependence curves, and pseudo J–V analysis results, while simultaneously recording key metadata such as injection definitions, optical geometry, and steady-state protocols.

Its primary value lies in improving data-chain transparency, but it does not replace experimental design. Ultimately, manuscript credibility depends on hypothesis traceability and multi-dimensional cross-validation.

Frequently asked questions

Can a paper be published if the QFLS–VOC gap cannot be explained?

Yes, but limitations must be explicitly acknowledged. The discrepancy should be clearly stated as unresolved, with plausible hypotheses provided rather than forced explanations.

What light-intensity range is sufficient?

At least 2–3 orders of magnitude (e.g., 0.01–1 sun or 0.1–10 sun) with ≥8 data points is recommended for robust ideality factor extraction.

Should pseudo J–V be included in the main text or SI?

It depends on its role in the manuscript. If it supports the main claim of reduced recombination losses, it can be included in the main text; otherwise, it is more suitable for supplementary information.

How to ensure QFLS comparability across laboratories?

Standardization is required for (1) 1-sun definition, (2) steady-state criteria, and (3) PLQY calibration method. Cross-validation using reference samples should be performed to ensure system deviations remain within acceptable limits.