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Gianmarco Terrones

Gianmarco G. Terrones

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Journal Articles

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2023
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  - journals/jossw/TerronesCDLKC23
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  - https://dblp.org/rec/journals/jossw/TerronesCDLKC23
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)

Informal and Other Publications

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2022
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  - journals/corr/abs-2208-05444
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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)
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  - journals/corr/abs-2209-08595
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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)
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  - journals/corr/abs-2210-14191
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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
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  - journals/corr/abs-2109-08098
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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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