Deep learning-based single-shot computational spectrometer using multilayer thin films
Abstract Computational spectrometers hold significant potential for mobile applications, such as on-site detection and self-diagnosis, due to their compact size, fast operation time, high resolution, wide working range, and low-cost production. Although extensively studied, prior demonstrations have...
Saved in:
| Main Authors: | David S. Bhatti, Jioh Lee, Cheolsun Kim, Youngin Choi, Hoon Hahn Yoon, Heung-No Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06691-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A weighted error-minimizer parameter estimation technique for one-inflated positive Poisson distribution
by: Razik Ridzuan Mohd Tajuddin
Published: (2025-06-01) -
Color Simulation of Multilayered Thin Films Using Python
by: Dongik Lee, et al.
Published: (2025-04-01) -
Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities
by: Ali Rahemi karizki, et al.
Published: (2025-03-01) -
Forecasting the Beef Meat Prices in Erbil Using Box-Jenkins Models
by: Feink Mohammed Omer, et al.
Published: (2020-01-01) -
Optimization method for variable fractional delay filters based on gradient descent
by: ZHUANG Ling, et al.
Published: (2025-04-01)