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Top 3 Jupyter Notebook materials-informatic Projects
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BestPractices
Things that you should (and should not) do in your Materials Informatics research. (by anthony-wang)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Quantum_Espresso_Colab
This repository includes a notebook to run the open-source materials modeling package Quantum Espresso on Google Colab.
A chemical engineering professor of mine wrote an open-sourse online book that I really enjoyed. dmol.pub
I'd like to share an example Colab notebook to show how to use atomistic modeling software Quantum Espresso (QE) on Google Colaboratory.
Jupyter Notebook materials-informatics related posts
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Best machine learning course for academic research?
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[Deep Learning] deep learning for molecules & materials
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If you believe like Eliezer Yudkowsky that superintelligent AI is threatening to kill us all, why aren't you evangelizing harder than Christians, why isn't it the main topic talked about in this subreddit or in Scott's blog, why aren't you focusing working only on it?
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Deep neural networks and autoencoders
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How to get started with molecular discovery?
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Ideas for Materials Science / Data Science projects
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 May 2024
Index
What are some of the best open-source materials-informatic projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | dmol-book | 579 |
2 | BestPractices | 155 |
3 | Quantum_Espresso_Colab | 6 |
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