Search results
Results: 10
Number of items: 10
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Du, Y., van Mastrigt, R., Veenstra, J., & Coulais, C. (2025, March 13). Metamaterials that learn to change shape [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15021063
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van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2024, June 20). Computational Design of Multimodal Combinatorial Mechanical Metamaterials [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12190638
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van Mastrigt, R., Coulais, C., & van Hecke, M. (2023). Emergent nonlocal combinatorial design rules for multimodal metamaterials. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 108(6), Article 065002. https://doi.org/10.1103/PHYSREVE.108.065002 -
van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2022). Convolutional Neural Networks for Classifying Combinatorial Metamaterials [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7071282
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van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2022). Zero Modes and Classification of Combinatorial Metamaterials [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7070963
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van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2022). Convolutional Neural Networks for Classifying Combinatorial Metamaterials [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5992648
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van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2022). Zero Modes and Classification of a Combinatorial Metamaterial [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5879125
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Van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2022). Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials. Physical Review Letters, 129(19), Article 198003. https://doi.org/10.1103/PhysRevLett.129.198003 -
van Mastrigt, R., Coulais, C., van Hecke, M., & Dijkstra, M. (2021). Machine Learning of Mechanisms in Combinatorial Metamaterials. In 15th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials 2021): New York City, New York, USA, 20-25 September 2021 (pp. 442-444). IEEE. https://doi.org/10.1109/Metamaterials52332.2021.9577168
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