uncertaintyx/CITATION.cff at main · bcdev/uncertaintyx · GitHub

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cff-version: 1.2.0
title: >-
  Uncertaintyx: tensor-level uncertainty
  propagation with JAX
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Ralf
    family-names: Quast
    email: ralf.quast@brockmann-consult.de
    affiliation: Brockmann Consult GmbH
    orcid: 'https://orcid.org/0000-0002-6857-6503'
license: MIT
repository-code: >-
  https://github.com/bcdev/uncertaintyx/
abstract: >-
  Uncertaintyx is a lightweight framework for
  tensor‑level uncertainty propagation, fitting
  of empirical or physics‑informed models, and
  metrology‑aware workflows. It produces uncertainty
  tensors by combining tensor‑valued models with
  algorithmic differentiation backends such as JAX.
  Conventional NumPy acts as a bidirectional
  interoperability layer.