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2020 – today
- 2023
[j1]Gianmarco G. Terrones
, Yu Chen, Archit Datar, Li-Chiang Lin, Heather J. Kulik, Yongchul G. Chung:
SESAMI APP: An Accessible Interface for Surface Area Calculation of Materials from Adsorption Isotherms. J. Open Source Softw. 8(87): 5429 (2023)- 2022
- [i4]Chenru Duan, Aditya Nandy, Gianmarco Terrones, David W. Kastner, Heather J. Kulik:
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 abs/2208.05444 (2022) - [i3]Gianmarco Terrones, Chenru Duan, Aditya Nandy, Heather J. Kulik:
Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties. CoRR abs/2209.08595 (2022) - [i2]Aditya Nandy, Shuwen Yue, Changhwan Oh, Chenru Duan, Gianmarco G. Terrones, Yongchul G. Chung, Heather J. Kulik:
A Database of Ultrastable MOFs Reassembled from Stable Fragments with Machine Learning Models. CoRR abs/2210.14191 (2022) - 2021
- [i1]Aditya Nandy, Gianmarco Terrones, Naveen Arunachalam, Chenru Duan, David W. Kastner, Heather J. Kulik:
MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks. CoRR abs/2109.08098 (2021)
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