636
Views
21
CrossRef citations to date
0
Altmetric
Articles

Computational discovery of nanoporous materials for energy- and environment-related applications

, &
Pages 1122-1147 | Received 17 Feb 2019, Accepted 13 May 2019, Published online: 11 Jun 2019

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Arni Sturluson, Melanie T. Huynh, Alec R. Kaija, Caleb Laird, Sunghyun Yoon, Feier Hou, Zhenxing Feng, Christopher E. Wilmer, Yamil J. Colón, Yongchul G. Chung, Daniel W. Siderius & Cory M. Simon. (2019) The role of molecular modelling and simulation in the discovery and deployment of metal-organic frameworks for gas storage and separation. Molecular Simulation 45:14-15, pages 1082-1121.
Read now

Articles from other publishers (20)

Qiang Lyu & Li-Chiang Lin. (2024) Rational design of reverse osmosis membranes for boron removal: A counter-intuitive relationship between boron rejection and pore size. Separation and Purification Technology 331, pages 125699.
Crossref
Min-Hsien Lin & Li-Chiang Lin. (2023) Simultaneously Probing Gaseous Diffusion and Adsorption Properties in Porous Materials Using Molecular Dynamics Simulations. The Journal of Physical Chemistry C 127:35, pages 17497-17507.
Crossref
I-Ting Sung & Li-Chiang Lin. (2023) In Silico Study of Metal–Organic Frameworks for CO 2 /CO Separation: Molecular Simulations and Machine Learning . The Journal of Physical Chemistry C 127:28, pages 13886-13899.
Crossref
Kun Meng, Yutao Niu, Xiaoyang Zhao, Yannan Zhang, Yan Zhao, Xiaohua Yu, Ju Rong & Hongying Hou. (2023) Data-Driven Design of High-Performance Graphene-Based Seawater Desalination Membranes. ACS Applied Nano Materials 6:7, pages 5889-5900.
Crossref
Maciej Haranczyk & Giulia Lo Dico. 2023. AI‐Guided Design and Property Prediction for Zeolites and Nanoporous Materials. AI‐Guided Design and Property Prediction for Zeolites and Nanoporous Materials 319 342 .
Archit Datar, Qiang Lyu & Li‐Chiang Lin. 2023. AI‐Guided Design and Property Prediction for Zeolites and Nanoporous Materials. AI‐Guided Design and Property Prediction for Zeolites and Nanoporous Materials 283 318 .
Simindokht Zarei-Shokat, Mohadeseh Forouzandeh-Malati, Fatemeh Ansari & Reihane Dinmohammadi. 2023. Physicochemical Aspects of Metal-Organic Frameworks. Physicochemical Aspects of Metal-Organic Frameworks 155 179 .
A.K. Priya, Lalitha Gnanasekaran, P. Senthil Kumar, A.A. Jalil, Tuan K.A. Hoang, Saravanan Rajendran, Matias Soto-Moscoso & Deepanraj Balakrishnan. (2022) Recent trends and advancements in nanoporous membranes for water purification. Chemosphere 303, pages 135205.
Crossref
Hakan Demir & Seda Keskin. (2022) Multi-Level Computational Screening of in Silico Designed MOFs for Efficient SO 2 Capture . The Journal of Physical Chemistry C 126:23, pages 9875-9888.
Crossref
Prosun Halder, Prerna & Jayant K. Singh. (2021) Building Unit Extractor for Metal–Organic Frameworks. Journal of Chemical Information and Modeling 61:12, pages 5827-5840.
Crossref
Archit Datar, Matthew Witman & Li‐Chiang Lin. (2021) Monte Carlo simulations for water adsorption in porous materials: Best practices and new insights. AIChE Journal 67:12.
Crossref
Eun Hyun Cho & Li-Chiang Lin. (2021) Nanoporous Material Recognition via 3D Convolutional Neural Networks: Prediction of Adsorption Properties. The Journal of Physical Chemistry Letters 12:9, pages 2279-2285.
Crossref
Archit Datar, Matthew Witman & Li-Chiang Lin. (2021) Improving Computational Assessment of Porous Materials for Water Adsorption Applications via Flat Histogram Methods. The Journal of Physical Chemistry C 125:7, pages 4253-4266.
Crossref
Eun Hyun Cho, Xuepeng Deng, Changlong Zou & Li-Chiang Lin. (2020) Machine Learning-Aided Computational Study of Metal–Organic Frameworks for Sour Gas Sweetening. The Journal of Physical Chemistry C 124:50, pages 27580-27591.
Crossref
Qiang Lyu, Dun-Yen Kang, Songqing Hu & Li-Chiang Lin. (2020) Exploiting interior surface functionalization in reverse osmosis desalination membranes to mitigate permeability–selectivity trade-off: Molecular simulations of nanotube-based membranes. Desalination 491, pages 114537.
Crossref
Ali Raza, Arni Sturluson, Cory M. Simon & Xiaoli Fern. (2020) Message Passing Neural Networks for Partial Charge Assignment to Metal–Organic Frameworks. The Journal of Physical Chemistry C 124:35, pages 19070-19082.
Crossref
Changlong Zou, Drace R. Penley, Eun Hyun Cho & Li-Chiang Lin. (2020) Efficient and Accurate Charge Assignments via a Multilayer Connectivity-Based Atom Contribution (m-CBAC) Approach. The Journal of Physical Chemistry C 124:21, pages 11428-11437.
Crossref
Eun Hyun Cho & Li-Chiang Lin. (2019) Electrostatic Potential Optimized Molecular Models for Molecular Simulations: CO, CO 2 , COS, H 2 S, N 2 , N 2 O, and SO 2 . Journal of Chemical Theory and Computation 15:11, pages 6323-6332.
Crossref
Priya Sinha, Archit Datar, Chungsik JeongXuepeng Deng, Yongchul G. Chung & Li-Chiang Lin. (2019) Surface Area Determination of Porous Materials Using the Brunauer–Emmett–Teller (BET) Method: Limitations and Improvements. The Journal of Physical Chemistry C 123:33, pages 20195-20209.
Crossref
kun meng, Yannan Zhang, Yan Zhao, ju rog, Hongying Hou & Xiao-Hua Yu. (2022) Data-Driven Design of a High-Performance, Two-Dimensional Graphene-Based Seawater Desalination Membrane. SSRN Electronic Journal.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.