This repository contains data for the work "High-refractive index materials' screening from machine learning and ab initio methods":i) results.json: a csv file containing the information (structures, PBE gaps and dielectric constants) used in the manuscriptii) example : a folder containing the machine learning model used in this work.</p
This dataset contains additional data for the publication "A Deep Dive into Machine Learning Density...
Supplementary Information for "Autonomous data extraction from peer reviewed literature for training...
Crystal structures dataset. Available in a Monty Encoder encoded JSON file and CSV. Recommended acce...
Dataset of material properties used to predict dielectric constants. Available as MontyEncoder encod...
Supporting information for the paper "Machine Learning Prediction of Critical Cooling Rate for Metal...
The dataset contains csv. and excel files zipped into a tar.gz file which underpin the Predicted cry...
This dataset is a collection of radiation-tolerant materials for training machine-learning models.TH...
Data and code for the paper "A critical examination of robustness and generalizability of machine le...
The zipfile contains the raw experiment data used in the PhD thesis "Certifying Planning Systems: Wi...
Data used in the paper "Transferring Chemical and Energetic Knowledge Between Molecular Systems With...
This data repository is for the publication "Leveraging Composition-Based Material Descriptors for M...
Here, we provide all training and test data generated in the study "Robust recognition and explorato...
Data related to the publication are provided as a single .zip that contains ascii, .csv, and .json f...
Research data supporting: "Classifying soft self-assembled materials via unsupervised machine learni...
The files contain the data underpinning the research of the PhD thesis with the above title. This is...
This dataset contains additional data for the publication "A Deep Dive into Machine Learning Density...
Supplementary Information for "Autonomous data extraction from peer reviewed literature for training...
Crystal structures dataset. Available in a Monty Encoder encoded JSON file and CSV. Recommended acce...
Dataset of material properties used to predict dielectric constants. Available as MontyEncoder encod...
Supporting information for the paper "Machine Learning Prediction of Critical Cooling Rate for Metal...
The dataset contains csv. and excel files zipped into a tar.gz file which underpin the Predicted cry...
This dataset is a collection of radiation-tolerant materials for training machine-learning models.TH...
Data and code for the paper "A critical examination of robustness and generalizability of machine le...
The zipfile contains the raw experiment data used in the PhD thesis "Certifying Planning Systems: Wi...
Data used in the paper "Transferring Chemical and Energetic Knowledge Between Molecular Systems With...
This data repository is for the publication "Leveraging Composition-Based Material Descriptors for M...
Here, we provide all training and test data generated in the study "Robust recognition and explorato...
Data related to the publication are provided as a single .zip that contains ascii, .csv, and .json f...
Research data supporting: "Classifying soft self-assembled materials via unsupervised machine learni...
The files contain the data underpinning the research of the PhD thesis with the above title. This is...
This dataset contains additional data for the publication "A Deep Dive into Machine Learning Density...
Supplementary Information for "Autonomous data extraction from peer reviewed literature for training...
Crystal structures dataset. Available in a Monty Encoder encoded JSON file and CSV. Recommended acce...
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