Seeking Open Datasets for Machine Learning Applications in Nanomaterials

  • Thread starter Thread starter proteo
  • Start date Start date
  • Tags Tags
    Machine learning
AI Thread Summary
Open datasets for machine learning applications in nanomaterials are sought after, with Kaggle proving insufficient for some users. Recommendations include resources like Nanohub, Matminer, Citrine Informatics, EMDAT, and the UCI Machine Learning Repository. These platforms provide various datasets that can be beneficial for research in nanomaterials. Users are encouraged to explore these options to enhance their machine learning projects. Accessing diverse datasets is crucial for advancing research in this field.
proteo
Messages
12
Reaction score
2
Hi! I am currently working on a machine learning project involving nanomaterials and looking for relevant datasets. I have come across some datasets on Kaggle, but they are not sufficient for my needs.

Could you please recommend websites or platforms where I can find open datasets related to nanomaterials
 
Engineering news on Phys.org

Similar threads

Introduction: Manuel, working at the intersection of physics and AI
Replies
5
Views
208
Processing plastic for recycling
Replies
4
Views
3K
Python Forecasting Bitcoin (BTC) with Machine Learning
Replies
13
Views
2K
Python Good books to learn machine learning using Python
Replies
4
Views
3K
Higgs boson re-discovery from a CERN dataset (for a project)
Replies
2
Views
2K
A theoretical nuclear physicist is on board!
Replies
2
Views
627
Courses Which of these Machine Learning courses should I attend?
Replies
5
Views
2K
Research Student in Mechatronics Engineering
Replies
1
Views
458
Which Deep Learning Package is Best for Computational Physics?
Replies
1
Views
2K
A Applications of analysis in signal processing/machine learning?
Replies
5
Views
2K

Hot Threads

Recent Insights

Back
Top