Benjamin J. Bucior

Chemistry · Physical Sciences

14h-index2.2kcitations28works1.02yr avg
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Research Topics

Metal-Organic Frameworks: Synthesis and Applications(20), Machine Learning in Materials Science(16), X-ray Diffraction in Crystallography(10), Zeolite Catalysis and Synthesis(5), Crystallography and molecular interactions(3)

Publications28 total

Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset
Zenodo (CERN European Organization for Nuclear Research)·2024· 1 citedOpen Access
Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset
2023Open Access
MOFX-DB: An Online Database of Computational Adsorption Data for Nanoporous Materials
Journal of Chemical & Engineering Data·2023· 87 citedOpen Access
MOFX-DB: An online database of computational adsorption data for nanoporous materials.
2022Open Access
Machine learning using host/guest energy histograms to predict adsorption in metal–organic frameworks: Application to short alkanes and Xe/Kr mixtures
The Journal of Chemical Physics·2021· 33 citedOpen Access
Inverse design of nanoporous crystalline reticular materials with deep generative models
Nature Machine Intelligence·2021· 362 citedOpen Access
Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models
2020· 5 citedOpen Access
Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models
2020· 44 citedOpen Access
Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models
2020· 8 citedOpen Access
Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset
Figshare·2020Open Access
Process-level modelling and optimization to evaluate metal–organic frameworks for post-combustion capture of CO<sub>2</sub>
Molecular Systems Design & Engineering·2020· 64 cited
Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset
Figshare·2019· 1 citedOpen Access
Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019
Journal of Chemical & Engineering Data·2019· 818 citedOpen Access
Identification Schemes for Metal–Organic Frameworks To Enable Rapid Search and Cheminformatics Analysis
Crystal Growth & Design·2019· 248 citedOpen Access
Prediction of hydrogen adsorption in nanoporous materials from the energy distribution of adsorption sites
Molecular Physics·2019· 33 citedOpen Access
Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset
Figshare·2019Open Access
Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset
Figshare·2019· 6 citedOpen Access
CCDC 1883496: Experimental Crystal Structure Determination
The Cambridge Structural Database·2019Open Access
CCDC 1883540: Experimental Crystal Structure Determination
The Cambridge Structural Database·2019Open Access
Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset All Solvent Removed
Figshare·2019Open Access
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Frequent Co-authors

Randall Q. Snurr(24), J. Ilja Siepmann(11), Maciej Harańczyk(10), Yongchul G. Chung(8), Emmanuel Haldoupis(8), Seulchan Lee(8), Konstantinos D. Vogiatzis(8), Marija Milisavljevic(8), Sanliang Ling(8), Ben Slater(8), David S. Sholl(8), N. Scott Bobbitt(7), Omar K. Farha(7), Jeff S. Camp(7), Hongda Zhang(6), Zhenpeng Yao(5), Alán Aspuru‐Guzik(5), Benjamín Sánchez-Lengeling(4), Sai Govind Hari Kumar(4), Tom K. Woo(4)