| The effect of alignment on the rate-dependent behavior of a main-chain liquid crystal elastomers CP Martin-Linares, NA Traugutt, MO Saed, C Yackaki, TD Nguyen Soft Matter, 2020 | 17 | 2020 |
| Material testing apparatus and procedures for evaluating freeze-thaw resistance of asphalt concrete mixtures CH Ho, CP Martin-Linares, J Shan, A Almonnieay Advances in Civil Engineering Materials 6 (1), 429-443, 2017 | 10 | 2017 |
| Physics-agnostic and physics-infused machine learning for thin films flows: modelling, and predictions from small data CP Martin-Linares, YM Psarellis, G Karapetsas, ED Koronaki, ... Journal of Fluid Mechanics 975, A41, 2023 | 8 | 2023 |
| Determining number of specimen replicates in support of pavement construction using AASHTO TP 125 CH Ho, CP Martin-Linares Journal of Transportation Engineering, Part B: Pavements 145 (2), 04019009, 2019 | 7 | 2019 |
| Representation functions to predict relaxation modulus of asphalt mixtures subject to the action of freeze-thaw cycles CH Ho, CP Martin-Linares Journal of Transportation Engineering, Part B: Pavements 144 (2), 04018013, 2018 | 7 | 2018 |
| Effect of asphalt thin beams mixed with three nominal maximum aggregate sizes in the bending beam rheometer on the prediction of thermal properties of bituminous material CH Ho, MF Martínez González, CP Martin-Linares Frontiers of Structural and Civil Engineering 11 (1), 1-7, 2017 | 5 | 2017 |
| 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 |
| Impact of multi-scale asphalt thin beams in the bending beam rheometer on the prediction of thermal cracking of bituminous material CP Martin-Linares, CH Ho, MF Martinez Gonzalez Procedia engineering 161, 235-240, 2016 | 4 | 2016 |
| 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 |
| Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era ED Koronaki, N Evangelou, CP Martin-Linares, ES Titi, IG Kevrekidis Journal of Computational Physics 506, 112910, 2024 | | 2024 |
| From Navier-Stokes simulations for thin films to amplitude equations and back via physics-assisted machine-learning CP Martin-Linares, E Koronaki, Y Psarellis, G Karapetsas, I Kevrekidis Bulletin of the American Physical Society, 2022 | | 2022 |
| A Machine Learning Approach to Bridge the Gap between the Kuramoto-Sivashinsky and the Navier-Stokes Equations for Thin Film Flow CP Martin-Linares, E Koronaki, Y Psarellis, G Karapetsas, I Kevrekidis 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Manifold Learning Post-Processing Galerkin Algorithms for Dissipative PDEs on Their Approximate Inertial Manifolds CP Martin-Linares, T Bertalan, N Evangelou, ES Titi, IG Kevrekidis 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Modeling Tipping Points in the Reduced-Order Stochastic Dynamics of a Population of Interacting Agents CP Martin-Linares, T Cui, G Fabiani, N Evangelou, C Siettos, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Development of closures for coarse-scale modeling of multiphase and free surface flows using machine learning. CP Martin-Linares, T Bertalan, E Koronaki, J Lu, G Tryggvason, ... Bulletin of the American Physical Society, 2021 | | 2021 |
| Data-Driven Development of Approximate Inertial Forms and Closures for Coarse-Scale Modeling of Multiphase Flows CP Martin-Linares, T Bertalan, S Lee, J Lu, G Tryggvason, ... 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Artwork for the Main Front Cover of the Journal Soft Matter Issue 38 CP Martin-Linares Soft Matter, 2020 | | 2020 |
| Neural Network approach to reduced order modeling of multiphase flows CP Martin-Linares, T Bertalan, J Lu, S Lee, Y Kevrekidis, G Tryggvason APS Division of Fluid Dynamics Meeting Abstracts, K09. 021, 2020 | | 2020 |
| Liquid crystal elastomer based mechanical metamaterials for lightweight extreme impact energy absorption SY Jeon, Z Zhu, N Traugutt, CP Martin-Linares, C Yakacki, T Nguyen, ... APS Meeting Abstracts, 2019 | | 2019 |
| Enhanced Dissipation Behavior of Main-Chain LCE Networks CP Martin-Linares, N Traugutt, T Nguyen, C Yakacki APS Meeting Abstracts, 2019 | | 2019 |
Chun-Hsing HoAssociate professor of University of Nebraska at Lincoln在 unl.edu 的电子邮件经过验证
