Emerging strategies for high-performance 3D-printed electrochemical sensors: challenges and AI/ML integration
- DOI
- 10.1016/j.apmate.2026.100473
- Published
- 2027-02
- Container
- Advanced Powder Materials
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.apmate.2026.100473,
title = {Emerging strategies for high-performance 3D-printed electrochemical sensors: challenges and AI/ML integration},
author = {Hafsa Siddiqui and Aakarsh Etar and Jayesh Soni and Fernando Gomes de Souza and Thomas Thundat and Shekhar Bhansali and Himanshu Upadhyay},
year = {2027},
journal = {Advanced Powder Materials},
doi = {10.1016/j.apmate.2026.100473},
url = {https://doi.org/10.1016/j.apmate.2026.100473}
}RIS
TY - JOUR TI - Emerging strategies for high-performance 3D-printed electrochemical sensors: challenges and AI/ML integration AU - Hafsa Siddiqui AU - Aakarsh Etar AU - Jayesh Soni AU - Fernando Gomes de Souza AU - Thomas Thundat AU - Shekhar Bhansali AU - Himanshu Upadhyay PY - 2027 JO - Advanced Powder Materials DO - 10.1016/j.apmate.2026.100473 UR - https://doi.org/10.1016/j.apmate.2026.100473 ER -
APA
Siddiqui, H., Etar, A., Soni, J., Souza, F. G. D., Thundat, T., Bhansali, S., & Upadhyay, H. (2027). Emerging strategies for high-performance 3D-printed electrochemical sensors: challenges and AI/ML integration. Advanced Powder Materials. https://doi.org/10.1016/j.apmate.2026.100473
Source records
- crossref · retrieved 2026-11-05T05:35:01.368Z