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Title: Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals

Abstract

We report that experimentally refined crystal structures for metal-organic frameworks (MOFs) often include solvent molecules and partially occupied or disordered atoms. This creates a major impediment to applying high-throughput computational screening to MOFs. To address this problem, we have constructed a database of MOF structures that are derived from experimental data but are immediately suitable for molecular simulations. The Computation-Ready, Experimental (CoRE) MOF database contains over 4,700 porous structures with publically available atomic coordinates. Important physical and chemical properties including the surface area and pore dimensions are reported for these structures. To demonstrate the utility of the database, we performed grand canonical Monte Carlo simulations of methane adsorption on all structures in the CoRE MOF database. Lastly, we investigated the structural properties of the CoRE MOFs that govern methane storage capacity and found that these relationships agree well with those derived recently from a large database of hypothetical MOFs.

Authors:
 [1];  [2];  [3];  [1];  [4];  [5];  [5];  [6];  [2];  [1]
  1. Northwestern Univ., Evanston, IL (United States). Department of Chemical and Biological Engineering
  2. Georgia Inst. of Technology, Atlanta, GA (United States). School of Chemical & Biomolecular Engineering
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division
  4. Northwestern Univ., Evanston, IL (United States). Department of Chemistry; Warsaw University of Technology (Poland). Warsaw University of Technology
  5. National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States). NIST Center for Neutron Research; Univ. of Pennsylvania, Philadelphia, PA (United States). Department of Materials Science and Engineering
  6. Northwestern Univ., Evanston, IL (United States). Department of Chemistry; King Abdulaziz Univ., Jeddah (Saudi Arabia). Department of Chemistry, Faculty of Science
Publication Date:
Research Org.:
Univ. of Minnesota, Minneapolis, MN (United States). Nanoporous Materials Genome Center
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences, and Biosciences Division
Contributing Org.:
Quest high-performance computing facility at Northwestern University; Northwestern University Information Technology
OSTI Identifier:
1477221
Grant/Contract Number:  
FG02-12ER16362; SC0008688
Resource Type:
Accepted Manuscript
Journal Name:
Chemistry of Materials
Additional Journal Information:
Journal Volume: 26; Journal Issue: 21; Related Information: Chung, Y. G., Camp, J., Haranczyk, M., Sikora, B. J., Bury, W., Krungleviciute, V., ... & Snurr, R. Q. (2014). Supplementary Material for Computation-ready, experimental metal–organic frameworks: A tool to enable high-throughput screening of nanoporous crystals Table S1-12. Chemistry of Materials, 26(21), 6185-6192.;Chung, Y. G., Camp, J., Haranczyk, M., Sikora, B. J., Bury, W., Krungleviciute, V., ... & Snurr, R. Q. (2014). Supplementary Material for Computation-ready, experimental metal–organic frameworks: A tool to enable high-throughput screening of nanoporous crystals Section S1-6. Chemistry of Materials, 26(21), 6185-6192.;; Journal ID: ISSN 0897-4756
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Chung, Yongchul G., Camp, Jeffrey, Haranczyk, Maciej, Sikora, Benjamin J., Bury, Wojciech, Krungleviciute, Vaiva, Yildirim, Taner, Farha, Omar K., Sholl, David S., and Snurr, Randall Q. Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals. United States: N. p., 2014. Web. doi:10.1021/cm502594j.
Chung, Yongchul G., Camp, Jeffrey, Haranczyk, Maciej, Sikora, Benjamin J., Bury, Wojciech, Krungleviciute, Vaiva, Yildirim, Taner, Farha, Omar K., Sholl, David S., & Snurr, Randall Q. Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals. United States. https://doi.org/10.1021/cm502594j
Chung, Yongchul G., Camp, Jeffrey, Haranczyk, Maciej, Sikora, Benjamin J., Bury, Wojciech, Krungleviciute, Vaiva, Yildirim, Taner, Farha, Omar K., Sholl, David S., and Snurr, Randall Q. Sat . "Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals". United States. https://doi.org/10.1021/cm502594j. https://www.osti.gov/servlets/purl/1477221.
@article{osti_1477221,
title = {Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals},
author = {Chung, Yongchul G. and Camp, Jeffrey and Haranczyk, Maciej and Sikora, Benjamin J. and Bury, Wojciech and Krungleviciute, Vaiva and Yildirim, Taner and Farha, Omar K. and Sholl, David S. and Snurr, Randall Q.},
abstractNote = {We report that experimentally refined crystal structures for metal-organic frameworks (MOFs) often include solvent molecules and partially occupied or disordered atoms. This creates a major impediment to applying high-throughput computational screening to MOFs. To address this problem, we have constructed a database of MOF structures that are derived from experimental data but are immediately suitable for molecular simulations. The Computation-Ready, Experimental (CoRE) MOF database contains over 4,700 porous structures with publically available atomic coordinates. Important physical and chemical properties including the surface area and pore dimensions are reported for these structures. To demonstrate the utility of the database, we performed grand canonical Monte Carlo simulations of methane adsorption on all structures in the CoRE MOF database. Lastly, we investigated the structural properties of the CoRE MOFs that govern methane storage capacity and found that these relationships agree well with those derived recently from a large database of hypothetical MOFs.},
doi = {10.1021/cm502594j},
journal = {Chemistry of Materials},
number = 21,
volume = 26,
place = {United States},
year = {Sat Oct 04 00:00:00 EDT 2014},
month = {Sat Oct 04 00:00:00 EDT 2014}
}

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Ab Initio Evaluation of Henry Coefficients Using Importance Sampling
journal, October 2018

  • Vandenbrande, Steven; Waroquier, Michel; Van Speybroeck, Veronique
  • Journal of Chemical Theory and Computation, Vol. 14, Issue 12
  • DOI: 10.1021/acs.jctc.8b00892

Automated Multiscale Approach To Predict Self-Diffusion from a Potential Energy Field
journal, February 2019

  • Mace, Amber; Barthel, Senja; Smit, Berend
  • Journal of Chemical Theory and Computation, Vol. 15, Issue 4
  • DOI: 10.1021/acs.jctc.8b01255

Origin of the Strong Interaction between Polar Molecules and Copper(II) Paddle-Wheels in Metal Organic Frameworks
journal, July 2017

  • Ongari, Daniele; Tiana, Davide; Stoneburner, Samuel J.
  • The Journal of Physical Chemistry C, Vol. 121, Issue 28
  • DOI: 10.1021/acs.jpcc.7b02302

Force-Field Prediction of Materials Properties in Metal-Organic Frameworks
journal, January 2017

  • Boyd, Peter G.; Moosavi, Seyed Mohamad; Witman, Matthew
  • The Journal of Physical Chemistry Letters, Vol. 8, Issue 2
  • DOI: 10.1021/acs.jpclett.6b02532

Accurate Characterization of the Pore Volume in Microporous Crystalline Materials
journal, July 2017


Database for CO 2 Separation Performances of MOFs Based on Computational Materials Screening
journal, May 2018

  • Altintas, Cigdem; Avci, Gokay; Daglar, Hilal
  • ACS Applied Materials & Interfaces, Vol. 10, Issue 20
  • DOI: 10.1021/acsami.8b04600

In Silico Screening of Metal–Organic Frameworks for Adsorption-Driven Heat Pumps and Chillers
journal, July 2018

  • Erdős, Máté; de Lange, Martijn F.; Kapteijn, Freek
  • ACS Applied Materials & Interfaces, Vol. 10, Issue 32
  • DOI: 10.1021/acsami.8b09343

Building a Consistent and Reproducible Database for Adsorption Evaluation in Covalent–Organic Frameworks
journal, September 2019

  • Ongari, Daniele; Yakutovich, Aliaksandr V.; Talirz, Leopold
  • ACS Central Science, Vol. 5, Issue 10
  • DOI: 10.1021/acscentsci.9b00619

Excavating hidden adsorption sites in metal-organic frameworks using rational defect engineering
journal, November 2017


Materials genomics methods for high-throughput construction of COFs and targeted synthesis
journal, December 2018


Exceptional hydrogen storage achieved by screening nearly half a million metal-organic frameworks
journal, April 2019


Retrofitting metal-organic frameworks
journal, October 2019


Computational Screening of MOFs for Acetylene Separation
journal, February 2018


Genetic Algorithm Design of MOF-based Gas Sensor Arrays for CO2-in-Air Sensing
journal, February 2020

  • Day, Brian A.; Wilmer, Christopher E.
  • Sensors, Vol. 20, Issue 3
  • DOI: 10.3390/s20030924