What you get
A comparison matrix of candidates against the conditions you care about. Every populated cell cites a paper and the conditions the value was measured under. Every empty cell is a gap — and those are where your test budget should go.Who it’s for
Materials, process, and reliability engineers choosing between options with incomplete internal data. Semiconductor, automotive, aerospace, and consumer-product R&D groups.The move that makes this work
Express the requirement as conditions, not as a material name. The spec becomes the query: temperature range, cycle count, atmosphere, dimension, contaminant, load. Then hold those conditions constant across every candidate so the results are comparable. A search for a material name returns everything ever written about it. A search for the material under your conditions returns the handful of papers that answer your question.How it works
1
Turn the spec into physical conditions
Write the operating envelope out explicitly before searching. This is the step that determines whether the output is usable.
2
One fan-out per candidate, conditions held constant
Run a query set per material or process, varying only the candidate. Anything else and you are comparing searches, not materials.
3
Set the domain, or drown
Without
domain=mat,eng,phys,chem, technical vocabulary pulls in unrelated biomedical literature. This single parameter is the difference between a usable and an unusable result set.4
Extract values with their conditions attached
Use
include_full_text_chunks=true. A performance number without its test conditions is not comparable to another number, and conditions live in methods sections rather than abstracts.5
Report the gaps as loudly as the data
Say plainly which candidate-condition combinations have no published data. That is the most actionable output of the whole exercise.
The API call
Full-text excerpts require a paid plan or an Enterprise API key and currently cover open-access papers. Engineering and materials literature skews toward closed-access conference proceedings, so expect coverage here to be patchier than in biomedicine — check before treating the matrix as complete.
domain codes for this work: mat (materials), eng (engineering), phys (physics), chem (chemistry), env (environmental).
What to check before you trust it
- Verify conditions on every extracted value. A modulus measured at room temperature says nothing about behaviour at 200°C, and the two look identical in a table.
- Watch for standards mismatch. Values measured under different test standards are not comparable even when units match.
- Empty cells may be a terminology problem. Before reporting a gap, re-run with the alternative names the field uses for the same material or process.
- Published performance is best-case. Laboratory conditions and production conditions differ; treat literature values as an upper bound to validate, not a spec to adopt.
Related
Find published process conditions for a manufacturing step
Once you have chosen the material, find the conditions to run it at.
Extract numbers and formulas from full-text papers
The extraction discipline this depends on.
Best practices
Excerpt-first extraction and the rest of the primitives.
All use cases
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