Structural identifiability of constitutive relations from indirect field observations.

Abstract read

In one paragraph

Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Y Sungtaek JuDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA.ORCID https://orcid.org/0000-0003-1238-8674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constitutive relations-functions linking a local state variable to a material or system property such as thermal conductivity, hydraulic permeability, or reaction rate constant-appear across the physical, engineering, and life sciences. They must often be inferred from sparse, indirect observations of the field they govern rather than from direct assays. Unlike the well-studied spatially varying parameter

Indexed as

Bayesian inverse problemsconstitutive relationsoptimal experimental designPDE-constrained identificationsparse Gaussian processes

Identifiers

PMID42703618

DOI10.1093/pnasnexus/pgag281

PMCPMC13546793

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.