Opening book details…
About this book
Evaluating different deep learning models for efficient extraction of Raman signals from CARS spectra by Rajendhar Junjuri & Ali Saghi & Lasse Lensu & Erik M. Vartiainen is a book available to read on EtoBox.
- Author
- Rajendhar Junjuri & Ali Saghi & Lasse Lensu & Erik M. Vartiainen
- Publisher
- Royal Society of Chemistry
- Language
- EN
More by Rajendhar Junjuri & Ali Saghi & Lasse Lensu & Erik M. Vartiainen
Browse all works by Rajendhar Junjuri & Ali Saghi & Lasse Lensu & Erik M. Vartiainen
Similar books
- Effect of Non-resonant Background on the Extraction of Raman Signals from CARS Spectra Using Deep Neural Networks — Rajendhar Junjuri & Ali Saghi & Lasse Lensu & Erik M. Vartiainen
- Vibrational Infrared and Raman Spectra of HCOOH from Variational Computations — Gustavo Avila & Alberto Mart & #xED; n Santa Dar & #xED; a & Edit M & #xE1; tyus
- Developing Efficient Deep Learning Model for Predicting Copolymer Properties — Himanshu & Kaushik Chakraborty & Tarak K. Patra
- Pre-resonance Effects in Deep UV Raman Spectra of Normal and Deuterated Water — B. Rossi & M. Tommasini & P. M. Ossi & M. Paolantoni
- Theoretical Assessment of Raman Spectra on MXene Ti2C: from Monolayer to Bilayer — Haiming Huang & Weiliang Wang & Shaolin Zhang
- Insights Into the Deviation from Piecewise Linearity in Transition Metal Complexes from Supervised Machine Learning Models — Yael Cytter & Aditya Nandy & Chenru Duan & Heather J. Kulik