Cross-sector deep learning scales life cycle assessment using unified textual descriptions.
- DOI
- 10.1016/j.ese.2026.100724
- Published
- 2026 Jul
- Container
- Environmental science and ecotechnology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ese.2026.100724,
title = {Cross-sector deep learning scales life cycle assessment using unified textual descriptions.},
author = {Zhao K and Luo B and Peng X and Deng Z and Zhang P and Li C and Liu T and Wang X and Gui Z and Hu S},
year = {2026},
journal = {Environmental science and ecotechnology},
doi = {10.1016/j.ese.2026.100724},
url = {https://doi.org/10.1016/j.ese.2026.100724}
}RIS
TY - JOUR TI - Cross-sector deep learning scales life cycle assessment using unified textual descriptions. AU - Zhao K AU - Luo B AU - Peng X AU - Deng Z AU - Zhang P AU - Li C AU - Liu T AU - Wang X AU - Gui Z AU - Hu S PY - 2026 JO - Environmental science and ecotechnology DO - 10.1016/j.ese.2026.100724 UR - https://doi.org/10.1016/j.ese.2026.100724 ER -
APA
K, Z., B, L., X, P., Z, D., P, Z., C, L., T, L., X, W., Z, G., & S, H. (2026). Cross-sector deep learning scales life cycle assessment using unified textual descriptions.. Environmental science and ecotechnology. https://doi.org/10.1016/j.ese.2026.100724
Source records
- pubmed · retrieved 2026-09-25T05:20:51.508Z