| Surface area determination of porous materials using the Brunauer–Emmett–Teller (BET) method: limitations and improvements P Sinha, A Datar, C Jeong, X Deng, YG Chung, LC Lin The Journal of Physical Chemistry C 123 (33), 20195-20209, 2019 | 181 | 2019 |
| Beyond the BET analysis: the surface area prediction of nanoporous materials using a machine learning method A Datar, YG Chung, LC Lin The Journal of Physical Chemistry Letters 11 (14), 5412-5417, 2020 | 42 | 2020 |
| Monte Carlo simulations for water adsorption in porous materials: Best practices and new insights A Datar, M Witman, LC Lin AIChE Journal 67 (12), e17447, 2021 | 20 | 2021 |
| Improving computational assessment of porous materials for water adsorption applications via flat histogram methods A Datar, M Witman, LC Lin The Journal of Physical Chemistry C 125 (7), 4253-4266, 2021 | 18 | 2021 |
| Brunauer–Emmett–Teller Areas from Nitrogen and Argon Isotherms Are Similar A Datar, S Yoon, LC Lin, YG Chung Langmuir 38 (38), 11631-11640, 2022 | 5 | 2022 |
| Responses to the comments on" Monte Carlo simulations for water adsorption in porous materials: Best practices and new insights". A Datar, M Witman, LC Lin AIChE Journal 68 (8), 2022 | 4 | 2022 |
| Machine Learning‐Aided Discovery of Nanoporous Materials for Energy‐and Environmental‐Related Applications A Datar, Q Lyu, LC Lin AI‐Guided Design and Property Prediction for Zeolites and Nanoporous …, 2023 | 2 | 2023 |
| SESAMI APP: An Accessible Interface for Surface Area Calculation of Materials from Adsorption Isotherms GG Terrones, Y Chen, A Datar, LC Lin, HJ Kulik, YG Chung Journal of Open Source Software 8 (86), 5429, 2023 | 1 | 2023 |
| In Silico Screening of Metal–organic Frameworks for Water Harvesting YM Wang, A Datar, ZX Xu, LC Lin The Journal of Physical Chemistry C 128 (1), 384-395, 2024 | | 2024 |
| Improving Computational Assessment of Water Adsorption to Enable Large-Scale Screening of Porous Materials for Water Harvesting A Datar, M Witman, LC Lin 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Statistics, Data Science, and Molecular Modeling A Datar 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Deep Learning Molecular Force Field for Gaseous Adsorption in Metal-Organic Frameworks with Open-Metal Sites CT Yang, I Pandey, A Datar, CC Chen, J Howe, LC Lin 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Characterization of Nanoporous Materials and Computational Study for Water Adsorption-Related Applications A Datar The Ohio State University, 2021 | | 2021 |
| Surface Area Prediction of Nanoporous Materials Using Machine Learning Methods A Datar, YG Chung, LC Lin 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
Li-Chiang LinChemical Engineering, National Taiwan University and the Ohio State UniversityVerified email at ntu.edu.tw
