3 releases (breaking)
0.3.0 | Aug 31, 2022 |
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0.2.0 | Aug 13, 2022 |
0.1.0 | Aug 13, 2022 |
#2 in #csl
Used in citeworks-cli
25KB
546 lines
Citeworks
- CSL types/serde: https://docs.rs/citeworks-csl
- CFF types/serde: https://docs.rs/citeworks-cff
- CLI tools:
- install with
cargo binstall citeworks-cli
csl2cff
: converts CSL-JSON to CFF references
- install with
Install cargo binstall citeworks-cli
.
csl2cff
$ csl2cff bibli.json
- type: article
authors:
- family-names: Vaidya
given-names: Nina
- family-names: Solgaard
given-names: Olav
abstract: Complex optical devices including aspherical focusing mirrors, solar concentrator
arrays, and immersion lenses were 3D printed using commercial technology and experimentally
demonstrated by evaluating surface roughness and shape. The as-printed surfaces
had surface roughness on the order of tens of microns. To improve this unacceptable
surface quality for creating optics, a polymer smoothing technique was developed.
Atomic force microscopy and optical profilometry showed that the smoothing technique
reduced the surface roughness to a few nanometers, consistent with the requirements
of high-quality optics, while tests of optical functionality demonstrated that
the overall shapes were maintained so that near theoretically predicted operation
was achieved. The optical surface smoothing technique is a promising approach
towards using 3D printing as a flexible tool for prototyping and fabrication of
miniaturized high-quality optics.
collection-title: Microsystems & Nanoengineering
copyright: 2018 The Author(s)
database: www.nature.com
date-accessed: 2022-08-12
doi: 10.1038/s41378-018-0015-4
start: 1
end: 8
issn: 2055-7434
issue: '1'
issue-date: 2018-07-16
journal: Microsyst Nanoeng
languages:
- en
title: 3D printed optics with nanometer scale surface roughness
url: https://www.nature.com/articles/s41378-018-0015-4
volume: 4
Append to CITATION.cff
's references
:
$ csl2cff bibli.json --insert CITATION.cff
Replace the whole references
list:
$ csl2cff bibli.json --replace CITATION.cff
Copyright
Félix Saparelli (:passcod)
License: Apache 2.0.
Dependencies
~1–1.8MB
~39K SLoC