Gianmarco Terrones

According to our database, Gianmarco Terrones authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

molSimplify 2.0: Improved Structure Generation for Automating Discovery in Inorganic Molecular and Reticular Chemistry.

Gianmarco G. Terrones, Roland G. St. Michel, Jacob W. Toney, Akash K. Ball, Yiran Wang, Aaron G. Garrison, Aditya Nandy, Ralf Meyer, Freya Edholm, Changhwan Oh, Sebastian G. Pujet, Daniel B. K. Chu, Davut Muhammetgulyyev, Heather J. Kulik

J. Chem. Inf. Model., 2026

2023

SESAMI APP: An Accessible Interface for Surface Area Calculation of Materials from Adsorption Isotherms.

Gianmarco G. Terrones, Yu Chen, Archit Datar, Li-Chiang Lin, Heather J. Kulik, Yongchul G. Chung

J. Open Source Softw., July, 2023

SESAMI APP: An Accessible Interface for Surface Area Calculation of Materials from Adsorption Isotherms.

Gianmarco G. Terrones, Yu Chen, Archit Datar, Li-Chiang Lin, Heather J. Kulik, Yongchul G. Chung

Dataset, June, 2023

SESAMI APP: An Accessible Interface for Surface Area Calculation of Materials from Adsorption Isotherms.

Gianmarco G. Terrones, Yu Chen, Archit Datar, Li-Chiang Lin, Heather J. Kulik, Yongchul G. Chung

Dataset, May, 2023

2022

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

Aditya Nandy, Shuwen Yue, Changhwan Oh, Chenru Duan, Gianmarco G. Terrones, Yongchul G. Chung, Heather J. Kulik

CoRR, 2022

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

Gianmarco Terrones, Chenru Duan, Aditya Nandy, Heather J. Kulik

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.

Chenru Duan, Aditya Nandy, Gianmarco Terrones, David W. Kastner, Heather J. Kulik

CoRR, 2022

2021

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

Aditya Nandy, Gianmarco Terrones, Naveen Arunachalam, Chenru Duan, David W. Kastner, Heather J. Kulik

CoRR, 2021