A scalable metal-organic framework as a durable physisorbent for carbon dioxide capture JB Lin, TTT Nguyen, R Vaidhyanathan, J Burner, JM Taylor, H Durekova, ... Science 374 (6574), 1464-1469, 2021 | 545 | 2021 |
High-Performing Deep Learning Regression Models for Predicting Low-Pressure CO2 Adsorption Properties of Metal–Organic Frameworks J Burner, L Schwiedrzik, M Krykunov, J Luo, PG Boyd, TK Woo The Journal of Physical Chemistry C 124 (51), 27996-28005, 2020 | 72 | 2020 |
ARC–MOF: a diverse database of metal-organic frameworks with DFT-derived partial atomic charges and descriptors for machine learning J Burner, J Luo, A White, A Mirmiran, O Kwon, PG Boyd, S Maley, ... Chemistry of Materials 35 (3), 900-916, 2023 | 70 | 2023 |
The HEALED SBU library of chemically realistic building blocks for construction of hypothetical metal–organic frameworks M Gibaldi, O Kwon, A White, J Burner, TK Woo ACS Applied Materials & Interfaces 14 (38), 43372-43386, 2022 | 14 | 2022 |
What will photo-processing of large, ionized amino-substituted polycyclic aromatic hydrocarbons produce in the interstellar medium? J Burner, BJ West, PM Mayer The Journal of Physical Chemistry A 123 (24), 5027-5034, 2019 | 7 | 2019 |
Structure affecting dissociation energy in polycyclic aromatic hydrocarbon ions M Diedhiou, J Burner, BJ West, PM Mayer Chemical Physics Letters 726, 93-98, 2019 | 6 | 2019 |
Trifluoroacetic acid and trifluoroacetic anhydride radical cations dissociate near the ionization limit L Lesniak, J Salas, J Burner, M Diedhiou, MA Burgos Paci, A Bodi, ... The Journal of Physical Chemistry A 123 (29), 6313-6318, 2019 | 5 | 2019 |
What do we expect from the dissociation of ionized nitro-substituted polycyclic aromatic hydrocarbons in the interstellar medium? J Burner, B West, PM Mayer International Journal of Mass Spectrometry 434, 81-86, 2018 | 4 | 2018 |
MEPO-ML: a robust graph attention network model for rapid generation of partial atomic charges in metal-organic frameworks J Luo, OB Said, P Xie, M Gibaldi, J Burner, C Pereira, TK Woo npj Computational Materials 10 (1), 224, 2024 | 2 | 2024 |
Alarming structural error rates in MOF databases used in data driven workflows identified via a novel metal oxidation state-based method A White, M Gibaldi, J Burner, RA Mayo, T Woo | 1 | 2024 |
MOSAEC-DB: a comprehensive database of experimental metal–organic frameworks with verified chemical accuracy suitable for molecular simulations M Gibaldi, A Kapeliukha, A White, J Luo, RA Mayo, J Burner, TK Woo Chemical Science, 2025 | | 2025 |