Library

[Slon]

Nina Andrejevic - Machine Learning-Augmented Spectroscopies for Intelligent Materials Design

English | 2022 | Springer | ISBN: 978-3-031-14807-1 | 106 pages | PDF | 10 MB

This book integrates machine learning with neutron and photon scattering and spectroscopies to enhance information extraction and materials characterization. It identifies elusive spectral signatures and features of the proximity effect at topological material interfaces, and proposes novel data-efficient machine learning architectures utilizing system symmetries for scarce data.


Download from RapidGator

Code:

https://rapidgator.net/file/4286e19ea9aa6b303c4a95c95a6291a5/ce662f910e4a111432601fa0b01faff1.pdf.html

Download from NitroFlare

Code:

https://nitroflare.com/view/A6AEDE4898BC1B0/