Functional improvement

Area: definition. Apply the shared measurement protocol.

Estimated progress toward AI-managed materials

40% complete — judgment-based estimate as of November 7, 2026. Confidence: low. The scale starts at 0% before ChatGPT's public release in 2022 and ends at 100% when AI manages the field's continuing advancement without human participation. This rates the outcome's contribution to that transition, not the percentage of tasks solved, a measured fraction of the field, or time remaining.

The shared scoring rubric uses five equally weighted dimensions: execution, breadth, agenda-setting, validation, and sustained autonomous improvement. Points for this outcome are 15 + 5 + 5 + 10 + 5 = 40/100, in that order; each dimension has a maximum of 20. These component judgments make the estimate inspectable, but are not independently measured scores.

Reason for the estimate: Measured and certified device efficiency supports strong bounded optimization. The result is application-specific and does not establish autonomous development across material classes. The dated baseline below supplies the findings and source links used for this assessment. Unmeasured components receive no demonstrated-progress credit; missing evidence does not prove a missing capability.

What would move the score: Retest equivalent device area, illumination and stabilization protocol; report certified efficiency, device counts and distribution rather than only the best device. Higher autonomy scores additionally require AI to select worthwhile work, validate results and improve the process over repeated cycles without human research management, repair or adjudication. Lower the score if replication fails, quality regresses or previously hidden human assistance is found. Preserve this dated estimate when adding future assessments.

Measurement and acceptance rule

Application-specific measurements such as battery Wh/kg and cycle life, conductivity at specified temperature, or strength at specified density. Fix test conditions before selection.

Evidence requirements

Provide raw characterization data, uncertainty, synthesis records, impurity analysis, and application tests. Require an independent laboratory to reproduce synthesis and functional performance. Count novelty and usefulness separately: a new phase can have no practical advantage, and a useful processing improvement can involve a known material.

Related milestones

See the area's proposed milestones. Proposed targets are distinct from the dated evidence below.

Baseline as of November 7 2026

Status: Measured photovoltaic performance. Sources accessed November 7, 2026. This is a documentary baseline, not an independent replication or an assertion of the worldwide best result. An unknown measurement is not zero.

Dated findings

April 14, 2026: AI-guided perovskite passivation achieved 27.22% efficiency on a 0.05 cm² cell, with certified maximum-power-point tracking efficiency of 27.18%. Autonomous perovskite optimization, Nature.

Interpretation and tracking value

This is an application-specific device result, not a generic material-improvement percentage. Certification of one result does not establish mass-production yield.

Next comparable measurement

Retest equivalent device area, illumination and stabilization protocol; report certified efficiency, device counts and distribution rather than only the best device. Preserve this dated observation; append future results with their model/system version, denominator, budget and evidence level rather than overwriting it.