Machine learning for nanomaterial-based optical wavelength estimation.data.zip (6.39 MB)

Machine learning for nanomaterial-based optical wavelength estimation.data.zip

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dataset
posted on 06.04.2020 by Davoud Hejazi, shuangjun liu, Amirreza Farnoosh, Sarah Ostadabbas, Swastik Kar

This is the training/testing pipeline used for:

Davoud Hejazi, Shuangjun Liu, Amirreza Farnoosh, Sarah Ostadabbas, Swastik Kar, "Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms," 2019. arXiv.1907.02161

Contact: Davoud Hejazi, Sarah Ostadabbas, Swastik Kar

This project is collection of several codes, for the purpose of testing the efficacy of various machine learning algorithms in estimating optical wavelength using optical transmittance data of nanomaterials-based thin-film filters. More details can be found in "READEME.md" file included with the codes.

Funding

DH and SK acknowledges financial support from NSF ECCS 1351424, and a Northeastern University Provost's Tier 1 Interdisciplinary seed grant.

History

Manuscript ID

MLST-100060

Licence

Exports