Identity and novelty

Area: definition. Apply the shared measurement protocol.

Estimated progress toward AI-managed materials

15% 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 5 + 5 + 0 + 5 + 0 = 15/100, 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: The corrected evidence demonstrates the need to separate platform novelty from scientific novelty; autonomous identification and prior-art adjudication remain weakly established. 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: Require composition/structure evidence, a dated prior-art search and independent classification before adding each new material to the count. 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

Count materials with measured composition and structure, prior-art search, and independent review distinguishing new phases from known materials or routine substitutions.

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: Corrected claim; substantial novelty not established. 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

January 19, 2026 correction to November 29, 2023 paper: The correction clarifies that A-Lab's materials were new to its prediction platform, not necessarily new to science. A-Lab author correction, Nature.

Interpretation and tracking value

Do not retain the original headline as a count of novel materials. Identity, platform novelty and scientific novelty need separate adjudication.

Next comparable measurement

Require composition/structure evidence, a dated prior-art search and independent classification before adding each new material to the count. Preserve this dated observation; append future results with their model/system version, denominator, budget and evidence level rather than overwriting it.