| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2070 | 2023 |
| Computational microstructure characterization and reconstruction: Review of the state-of-the-art techniques R Bostanabad, Y Zhang, X Li, T Kearney, LC Brinson, DW Apley, WK Liu, ... Progress in Materials Science 95, 1-41, 2018 | 398 | 2018 |
| A transfer learning approach for microstructure reconstruction and structure-property predictions X Li, Y Zhang, H Zhao, C Burkhart, LC Brinson, W Chen Scientific reports 8 (1), 13461, 2018 | 286 | 2018 |
| Microstructural materials design via deep adversarial learning methodology Z Yang, X Li, L Catherine Brinson, AN Choudhary, W Chen, A Agrawal Journal of Mechanical Design 140 (11), 111416, 2018 | 251 | 2018 |
| A deep adversarial learning methodology for designing microstructural material systems X Li, Z Yang, LC Brinson, A Choudhary, A Agrawal, W Chen International Design Engineering Technical Conferences and Computers and …, 2018 | 73 | 2018 |
| Perspective: NanoMine: A material genome approach for polymer nanocomposites analysis and design H Zhao, X Li, Y Zhang, LS Schadler, W Chen, LC Brinson APL materials 4 (5), 2016 | 71 | 2016 |
| Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions I Hassinger, X Li, H Zhao, H Xu, Y Huang, A Prasad, L Schadler, W Chen, ... Journal of materials science 51, 4238-4249, 2016 | 64 | 2016 |
| Identifying interphase properties in polymer nanocomposites using adaptive optimization Y Wang, Y Zhang, H Zhao, X Li, Y Huang, LS Schadler, W Chen, ... Composites Science and Technology 162, 146-155, 2018 | 61 | 2018 |
| Mining structure–property relationships in polymer nanocomposites using data driven finite element analysis and multi-task convolutional neural networks Y Wang, M Zhang, A Lin, A Iyer, AS Prasad, X Li, Y Zhang, LS Schadler, ... Molecular Systems Design & Engineering 5 (5), 962-975, 2020 | 53 | 2020 |
| Computational analysis of particle reinforced viscoelastic polymer nanocomposites–statistical study of representative volume element A Hu, X Li, A Ajdari, B Jiang, C Burkhart, W Chen, LC Brinson Journal of the Mechanics and Physics of Solids 114, 55-74, 2018 | 29 | 2018 |
| Rethinking interphase representations for modeling viscoelastic properties for polymer nanocomposites X Li, M Zhang, Y Wang, A Prasad, W Chen, L Schadler, LC Brinson Materialia 6, 100277, 2019 | 20 | 2019 |
| Investigating the effect of surface modification on the dispersion process of polymer nanocomposites AS Prasad, Y Wang, X Li, A Iyer, W Chen, LC Brinson, LS Schadler Nanocomposites 6 (3), 111-124, 2020 | 19 | 2020 |
| Materials Informatics and Data System for Polymer Nanocomposites Analysis and Design W Chen, L Schadler, C Brinson, Y Wang, Y Zhang, A Prasad, X Li, A Iyer HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES: Volume 1 …, 2020 | 11 | 2020 |
| Impact of interfacial properties on the viscoelastic relaxation of hard–soft block copolymers using finite element analysis M Zhang, X Li, Y Wang, W Chen, C Brinson Journal of Materials Research, 1-17, 2020 | 4 | 2020 |
| Towards building a structure-properties prediction tool for nanodielectrics AS Prasad, L Schadler, H Zhao, X Li, W Chen, LC Brinson 2017 IEEE Conference on Electrical Insulation and Dielectric Phenomenon …, 2017 | | 2017 |
| Application of finite element modeling and viscoelasticity theory in characterization and prediction of dielectric relaxation process in polymer nanodielectrics H Zhao, Y Li, X Li, LC Brinson, Y Huang, TM Krentz, K Wu, C Breneman, ... | | 2014 |
LC BrinsonDuke UniversityEmail verificata su duke.edu
