| Diffusion and directionality of charged nanoparticles on lipid bilayer membrane P Chen, Z Huang, J Liang, T Cui, X Zhang, B Miao, LT Yan ACS nano 10 (12), 11541-11547, 2016 | 92 | 2016 |
| Optimal Reactivity and Improved Self‐Healing Capability of Structurally Dynamic Polymers Grafted on Janus Nanoparticles Governed by Chain Stiffness and Spatial Organization G Xu, Z Huang, P Chen, T Cui, X Zhang, B Miao, LT Yan Small 13 (13), 1603155, 2017 | 38 | 2017 |
| Initializing LSTM internal states via manifold learning FP Kemeth, T Bertalan, N Evangelou, T Cui, S Malani, IG Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (9), 2021 | 7 | 2021 |
| Tasks makyth models: Machine learning assisted surrogates for tipping points G Fabiani, N Evangelou, T Cui, JM Bello-Rivas, CP Martin-Linares, ... arXiv preprint arXiv:2309.14334, 2023 | 4 | 2023 |
| Data-driven and physics informed modeling of Chinese Hamster Ovary cell bioreactors T Cui, T Bertalan, N Ndahiro, P Khare, M Betenbaugh, C Maranas, ... Computers & Chemical Engineering 183, 108594, 2024 | 3 | 2024 |
| Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information S Malani, TS Bertalan, T Cui, JL Avalos, M Betenbaugh, IG Kevrekidis Computers & Chemical Engineering 178, 108343, 2023 | 2 | 2023 |
| Task-oriented machine learning surrogates for tipping points of agent-based models G Fabiani, N Evangelou, T Cui, JM Bello-Rivas, CP Martin-Linares, ... Nature communications 15 (1), 4117, 2024 | 1 | 2024 |
| Certified Invertibility in Neural Networks via Mixed-Integer Programming T Cui, T Bertalan, GJ Pappas, M Morari, Y Kevrekidis, M Fazlyab Learning for Dynamics and Control Conference, 483-496, 2023 | 1 | 2023 |
| Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modeling N Evangelou, T Cui, JM Bello-Rivas, A Makeev, IG Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (6), 2024 | | 2024 |
| Data-Driven Bifurcation Diagrams for Neural (Integro-) Differential Equations G Fabiani, N Evangelou, T Cui, DG Giovanis, IG Kevrekidis 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Pathologies of Neural Networks As Models of Discrete-Time Dynamical Systems T Cui, G Psarellis, T Bertalan, S Reich, IG Kevrekidis 2021 AIChE Annual Meeting, 2021 | | 2021 |
| PDE+ Pinn: Neural Identification and Solution of Partial Differential Equations on Partial Data T Bertalan, F Kemeth, T Cui, IG Kevrekidis 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
Nikolaos EvangelouJohns Hopkins University在 jhu.edu 的电子邮件经过验证
