Deep-Learning Inversion Maps Arbitrary Design Images to Low-Cost, Efficient Nanofabrication.

Zhang J, Chen X, Ngo AT, Cheng M, Zhao Y, Yang S, Wong Z, Ai B

DOI: 10.1021/acsnano.6c06350
Published: 2026 May 26
Container: ACS nano
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acsnano.6c06350,
  title = {Deep-Learning Inversion Maps Arbitrary Design Images to Low-Cost, Efficient Nanofabrication.},
  author = {Zhang J and Chen X and Ngo AT and Cheng M and Zhao Y and Yang S and Wong Z and Ai B},
  year = {2026},
  journal = {ACS nano},
  doi = {10.1021/acsnano.6c06350},
  url = {https://doi.org/10.1021/acsnano.6c06350}
}

RIS

TY  - JOUR
TI  - Deep-Learning Inversion Maps Arbitrary Design Images to Low-Cost, Efficient Nanofabrication.
AU  - Zhang J
AU  - Chen X
AU  - Ngo AT
AU  - Cheng M
AU  - Zhao Y
AU  - Yang S
AU  - Wong Z
AU  - Ai B
PY  - 2026
JO  - ACS nano
DO  - 10.1021/acsnano.6c06350
UR  - https://doi.org/10.1021/acsnano.6c06350
ER  -

APA

J, Z., X, C., AT, N., M, C., Y, Z., S, Y., Z, W., & B, A. (2026). Deep-Learning Inversion Maps Arbitrary Design Images to Low-Cost, Efficient Nanofabrication.. ACS nano. https://doi.org/10.1021/acsnano.6c06350

Source records

pubmed · retrieved 2026-09-26T17:37:28.380Z