| Measurement of adherent cell mass and growth K Park, LJ Millet, N Kim, H Li, X Jin, G Popescu, NR Aluru, KJ Hsia, ... Proceedings of the National Academy of Sciences 107 (48), 20691-20696, 2010 | 251 | 2010 |
| Resonant MEMS mass sensors for measurement of microdroplet evaporation K Park, N Kim, DT Morisette, NR Aluru, R Bashir Journal of Microelectromechanical Systems 21 (3), 702-711, 2012 | 86 | 2012 |
| Additive manufacturing of high-performance carbon-composites: An integrated multi-axis pressure and temperature monitoring sensor HG Kim, S Hajra, D Oh, N Kim, HJ Kim Composites Part B: Engineering 222, 109079, 2021 | 52 | 2021 |
| Improving surface roughness of additively manufactured parts using a photopolymerization model and multi-objective particle swarm optimization N Kim, I Bhalerao, D Han, C Yang, H Lee Applied Sciences 9 (1), 151, 2019 | 31 | 2019 |
| Accelerated discovery of zeolite structures with superior mechanical properties via active learning N Kim, K Min The Journal of Physical Chemistry Letters 12 (9), 2334-2339, 2021 | 23 | 2021 |
| Quantitative chemical imaging of nonplanar microfluidics MK Gelber, MR Kole, N Kim, NR Aluru, R Bhargava Analytical chemistry 89 (3), 1716-1723, 2017 | 23 | 2017 |
| Artificial intelligence in the design of innovative metamaterials: A comprehensive review JH Song, JH Lee, N Kim, K Min International Journal of Precision Engineering and Manufacturing 25 (1), 225-244, 2024 | 20 | 2024 |
| Unsupervised Legendre–Galerkin neural network for solving partial differential equations J Choi, N Kim, Y Hong IEEE Access 11, 23433-23446, 2023 | 13 | 2023 |
| Additively manufactured mechanical metamaterial‐based pressure sensor with tunable sensing properties for stance and motion analysis HG Kim, S Hajra, H Lee, N Kim, HJ Kim Advanced Engineering Materials 25 (14), 2201499, 2023 | 11 | 2023 |
| Data-efficient deep generative model with discrete latent representation for high-fidelity digital materials N Kim, D Lee, Y Hong ACS Materials Letters 5 (3), 730-737, 2023 | 10 | 2023 |
| Optimal machine learning feature selection for assessing the mechanical properties of a zeolite framework N Kim, K Min Physical Chemistry Chemical Physics 24 (44), 27031-27037, 2022 | 10 | 2022 |
| Spatial uncertainty modeling for surface roughness of additively manufactured microstructures via image segmentation N Kim, C Yang, H Lee, NR Aluru Applied Sciences 9 (6), 1093, 2019 | 9 | 2019 |
| A novel methodology to explore the periodic gait of a biped walker under uncertainty using a machine learning algorithm N Kim, B Jeong, K Park Robotica 40 (1), 120-135, 2022 | 8 | 2022 |
| Spectral operator learning for parametric PDEs without data reliance J Choi, T Yun, N Kim, Y Hong Computer Methods in Applied Mechanics and Engineering 420, 116678, 2024 | 7 | 2024 |
| Effect of intermolecular force on the static/dynamic behaviour of M/NEM devices N Kim, NR Aluru Nanotechnology 25 (48), 485204, 2014 | 6 | 2014 |
| Correlating atomistic characteristics of zeolites to their 3D-Printed Macro structural properties for prediction of mechanical response J Kim, M Hong, J Song, N Kim, K Min Materials & Design 233, 112189, 2023 | 4 | 2023 |
| High Performance Proprioceptive Fiber Actuators Based on Ag Nanoparticles‐Incorporated Hybrid Twisted and Coiled System S Noh, J Kim, H Kim, M Lee, N Kim, H Ryu, J Lee Small, 2309429, 2024 | 3 | 2024 |
| Simulations of die casting with uncertainty quantification S Shahane, S Mujumdar, N Kim, P Priya, NR Aluru, P Ferreira, SG Kapoor, ... Journal of Manufacturing Science and Engineering 141 (4), 041003, 2019 | 3 | 2019 |
| Simple arithmetic operation in latent space can generate a novel three-dimensional graph metamaterials N Kim, D Lee, C Kim, D Lee, Y Hong npj Computational Materials 10 (1), 236, 2024 | 2 | 2024 |
| Surface‐Embedding of Mo Microparticles for Robust and Conductive Biodegradable Fiber Electrodes: Toward 1D Flexible Transient Electronics J Kim, C Yang, T Yun, S Woo, H Kim, M Lee, M Jeong, H Ryu, N Kim, ... Advanced Science 10 (15), 2206186, 2023 | 2 | 2023 |