Aditya Nandy

Orcid: 0000-0001-7137-5449

According to our database1, Aditya Nandy authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Protein3D: Enabling analysis and extraction of metal-containing sites from the Protein Data Bank with molSimplify.
J. Comput. Chem., 2024

2023
A transferable recommender approach for selecting the best density functional approximations in chemical discovery.
Nat. Comput. Sci., 2023

2022
A Database of Ultrastable MOFs Reassembled from Stable Fragments with Machine Learning Models.
CoRR, 2022

Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties.
CoRR, 2022

Rapid Exploration of a 32.5M Compound Chemical Space with Active Learning to Discover Density Functional Approximation Insensitive and Synthetically Accessible Transitional Metal Chromophores.
CoRR, 2022

Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery.
CoRR, 2022

Machine learning models predict calculation outcomes with the transferability necessary for computational catalysis.
CoRR, 2022

Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy.
CoRR, 2022

2021
Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery.
CoRR, 2021

MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks.
CoRR, 2021

Deciphering Cryptic Behavior in Bimetallic Transition Metal Complexes with Machine Learning.
CoRR, 2021

Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks.
CoRR, 2021

Representations and Strategies for Transferable Machine Learning Models in Chemical Discovery.
CoRR, 2021


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