As researchers, our goal is to communicate what we know and how we arrive at our conclusions. By sharing widely, we create transparent, replicable, and reproducible workflows. And by sharing our educational resources, we can help each other train generations to come.
- Nanyang Asst. Prof. Suzy styles
Welcome to Data Processing!: A Digital Textbook and Practical Guide to Interpreting Materials Characterization Results. I hope this textbook will be useful for your work, and I hope you enjoy learning with me!
And me?. Well, I'm Dinda Gusti Ayu 
In materials science, utilizing innovative characterization tools is essential for understanding physiochemical properties. The present of Data Processing focuses on the used computational and analytical steps for processing and interpreting data from several characterization tools:
- Chemical
- Stuctural mineralogical
- Morphological
- Optical
- Surface and pore size.
The goal is to provide a concise documentation of interpreting characterisation results on both practical and theoritical description of the techniques that are tied to work I have participated in.
Contents will depend on the characterization tools and follow these components:
- Pre-requisite knowledge: What we need to understand before analyse data;
- Technique fundamentals: Reference on how is the working mechanism of the measurement technique;
- Interpretation: Workflows to process data (with software or algorithm experimentations;
- Case study: specific examples from published papers.
You can quickly navigate through the sections using the navigation bar on the left side, and the sub navigation bar on the right side. There is also a search box to help you find any content in this page swiftly.
Please feel free to contact me through email at materials@dindagustiayu.com if you have any questions or suggestions. I'm looking forward to hearing from you!