| Self-Assembled Protein Nanofilter for Trapping Polysulfides and Promoting Li+ Transport in Lithium–Sulfur Batteries X Fu, C Li, Y Wang, L Scudiero, J Liu, WH Zhong The journal of physical chemistry letters 9 (10), 2450-2459, 2018 | 39 | 2018 |
| Let It Catch: A Short‐Branched Protein for Efficiently Capturing Polysulfides in Lithium–Sulfur Batteries M Chen, C Li, X Fu, W Wei, X Fan, A Hattori, Z Chen, J Liu, WH Zhong Advanced Energy Materials 10 (9), 1903642, 2020 | 38 | 2020 |
| Building ion-conduction highways in polymeric electrolytes by manipulating protein configuration X Fu, C Li, Y Wang, LP Kovatch, L Scudiero, J Liu, W Zhong ACS applied materials & interfaces 10 (5), 4726-4736, 2018 | 34 | 2018 |
| Unseeded, spontaneous nucleation of spherulitic magnesium calcite M Prus, C Li, K Kędra-Królik, W Piasecki, K Lament, T Begović, P Zarzycki Journal of colloid and interface science 593, 359-369, 2021 | 15 | 2021 |
| Dissipative particle dynamics simulations of a protein-directed self-assembly of nanoparticles C Li, X Fu, W Zhong, J Liu ACS omega 4 (6), 10216-10224, 2019 | 15 | 2019 |
| Machine learning in heterogeneous porous materials M D'Elia, H Deng, C Fraces, K Garikipati, L Graham-Brady, A Howard, ... arXiv preprint arXiv:2202.04137, 2022 | 7 | 2022 |
| A computational pipeline to generate a synthetic dataset of metal ion sorption to oxides for AI/ML exploration C Li, P Zarzycki Frontiers in Nuclear Engineering 1, 977743, 2022 | 5 | 2022 |
| Experimental research on surface roughness of ultrasonic assisted grinding in face grinding process FH Zhang, LF Liu, CH Li Advanced Materials Research 565, 154-159, 2012 | 4 | 2012 |
| Rapid Prediction of a Liquid Structure from a Single Molecular Configuration Using Deep Learning C Li, B Gilbert, S Farrell, P Zarzycki Journal of chemical information and modeling 63 (12), 3742-3750, 2023 | 2 | 2023 |
| Experimental research on grinding technology for SiC aspherical surface [J] C LI, D LUAN, L LIU Diamond & Abrasives Engineering 5, 35-38, 2012 | 2 | 2012 |
| Deep neural network surrogate for surface complexation model of metal oxide/electrolyte interface C Li, S Farrell, B Gilbert, P Zarzycki Computational Materials Science 238, 112932, 2024 | | 2024 |
| Machine learning surrogates for surface complexation model of uranium sorption to oxides C Li, EO Adeniyi, P Zarzycki Scientific Reports 14 (1), 6603, 2024 | | 2024 |
| Molecular dynamics and kinetic modeling of rough calcite surface dissolution P Zarzycki, C Li, B Gilbert 2022 Goldschmidt Conference, 2022 | | 2022 |
| Rapid Prediction of Liquid Properties from Molecular Dynamics Simulations using Deep Learning C Li, S Farrell, B Gilbert, P Zarzycki 2022 Goldschmidt Conference, 2022 | | 2022 |
| Deep neural network-based surrogates for Surface Complexation Models of oxide/electrolyte interfaces C Li, S Farrell, B Gilbert, P Zarzycki Goldschmidt2021• Virtual• 4-9 July, 2021 | | 2021 |
| Modeling and Simulations of Particulate Flows through Functionalized Porous Media C Li, P Dutta, J Liu APS Division of Fluid Dynamics Meeting Abstracts, D40. 008, 2016 | | 2016 |
| Simulation analysis of grinding wheel motion trajectory on SiC ceramics aspheric surface grinding F Zhang, L Liu, C Li 7th International Symposium on Advanced Optical Manufacturing and Testing …, 2014 | | 2014 |
Jin LiuProfessor of School of Mechanical and Materials Engineering, Washington State UniversityVerified email at wsu.edu
