Li-Chiang Lin, Ph.D.
Affiliations: | 2014 | Chemical Engineering | University of California, Berkeley, Berkeley, CA, United States |
Area:
Molecular simulations, multi-scale modeling, catalysts, soft-condensed matter, biological membranes, claysGoogle:
"Li-Chiang Lin"Parents
Sign in to add mentor| Berend Smit | grad student | 2014 | UC Berkeley | |
| (Computational study of porous materials for gas separations.) | ||||
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Publications
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| Kao YC, Wang YM, Yeh JY, et al. (2024) Tailoring parameters for QM/MM simulations: accurate modeling of adsorption and catalysis in zirconium-based metal-organic frameworks. Physical Chemistry Chemical Physics : Pccp |
| Pandey I, Lin LC, Chen CC, et al. (2023) Understanding Carbon Monoxide Binding and Interactions in M-MOF-74 (M = Mg, Mn, Ni, Zn). Langmuir : the Acs Journal of Surfaces and Colloids |
| Chen HC, Lin LC. (2023) Computing Mixture Adsorption in Porous Materials through Flat Histogram Monte Carlo Methods. Langmuir : the Acs Journal of Surfaces and Colloids |
| Lin LC. (2022) Computational Study of Alkane Adsorption in Brønsted Acid Zeolites for More Efficient Alkane Cracking. Langmuir : the Acs Journal of Surfaces and Colloids. 38: 7665-7677 |
| Cho EH, Lin LC. (2021) Nanoporous Material Recognition via 3D Convolutional Neural Networks: Prediction of Adsorption Properties. The Journal of Physical Chemistry Letters. 2279-2285 |
| Datar A, Chung YG, Lin LC. (2020) Beyond the BET Analysis: the Surface Area Prediction of Nanoporous Materials Using a Machine Learning Method. The Journal of Physical Chemistry Letters |
| Zou C, Penley DR, Cho EH, et al. (2020) Efficient and Accurate Charge Assignments via a Multilayer Connectivity-Based Atom Contribution (m-CBAC) Approach The Journal of Physical Chemistry C. 124: 11428-11437 |
| Lyu Q, Kang D, Hu S, et al. (2020) Exploiting interior surface functionalization in reverse osmosis desalination membranes to mitigate permeability–selectivity trade-off: Molecular simulations of nanotube-based membranes Desalination. 491: 114537 |
| Su CY, Lyu Q, Kang DY, et al. (2019) Hexagonal Superalignment of Nano-Objects with Tunable Separation in a Dilute and Spacer-Free Solution. Physical Review Letters. 123: 238002 |
| Cho EH, Lin LC. (2019) Electrostatic Potential Optimized Molecular Models (ESP-MMs) for Molecular Simulations: CO, CO, COS, HS, N, NO, and SO. Journal of Chemical Theory and Computation |