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64 Publications
2022 | Published | Journal Article | IST-REx-ID: 11556 | 
A. Kalinov, A. I. Osinskiy, S. A. Matveev, W. Otieno, and N. V. Brilliantov, “Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics,” Journal of Computational Physics, vol. 467. Elsevier, 2022.
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 12431 |
S. Ishida, C. Wojtan, and A. Chern, “Hidden degrees of freedom in implicit vortex filaments,” ACM Transactions on Graphics, vol. 41, no. 6. Association for Computing Machinery, 2022.
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2022 | Published | Thesis | IST-REx-ID: 12358 |
G. Sperl, “Homogenizing yarn simulations: Large-scale mechanics, small-scale detail, and quantitative fitting,” Institute of Science and Technology Austria, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 11736 |
G. Sperl, R. M. Sánchez-Banderas, M. Li, C. Wojtan, and M. A. Otaduy, “Estimation of yarn-level simulation models for production fabrics,” ACM Transactions on Graphics, vol. 41, no. 4. Association for Computing Machinery, 2022.
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2022 | Published | Journal Article | IST-REx-ID: 11432 |
C. Schreck and C. Wojtan, “Coupling 3D liquid simulation with 2D wave propagation for large scale water surface animation using the equivalent sources method,” Computer Graphics Forum, vol. 41, no. 2. Wiley, pp. 343–353, 2022.
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2021 | Published | Journal Article | IST-REx-ID: 9818 |
G. Sperl, R. Narain, and C. Wojtan, “Mechanics-aware deformation of yarn pattern geometry,” ACM Transactions on Graphics, vol. 40, no. 4. Association for Computing Machinery, 2021.
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2021 | Scientific Software | IST-REx-ID: 9327 |
G. Sperl, R. Narain, and C. Wojtan, “Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data).” IST Austria, 2021.
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2020 | Published | Journal Article | IST-REx-ID: 5681 |
I. Hikaru, C. Wojtan, N. Thuerey, T. Igarashi, and R. Ando, “Simulating liquids on dynamically warping grids,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 6. IEEE, pp. 2288–2302, 2020.
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| PubMed | Europe PMC
2020 | Published | Journal Article | IST-REx-ID: 8765 |
C. Schreck and C. Wojtan, “A practical method for animating anisotropic elastoplastic materials,” Computer Graphics Forum, vol. 39, no. 2. Wiley, pp. 89–99, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 8384 |
S. Ishida, P. Synak, F. Narita, T. Hachisuka, and C. Wojtan, “A model for soap film dynamics with evolving thickness,” ACM Transactions on Graphics, vol. 39, no. 4. Association for Computing Machinery, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 8385 |
G. Sperl, R. Narain, and C. Wojtan, “Homogenized yarn-level cloth,” ACM Transactions on Graphics, vol. 39, no. 4. Association for Computing Machinery, 2020.
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2020 | Published | Journal Article | IST-REx-ID: 8535 |
T. Skrivan, A. Soderstrom, J. Johansson, C. Sprenger, K. Museth, and C. Wojtan, “Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces,” ACM Transactions on Graphics, vol. 39, no. 4. Association for Computing Machinery, 2020.
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2019 | Published | Conference Paper | IST-REx-ID: 6642 |
M. Dostalík, V. Pruša, and T. Skrivan, “On diffusive variants of some classical viscoelastic rate-type models,” in AIP Conference Proceedings, Zlin, Czech Republic, 2019, vol. 2107.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6442 |
C. Schreck, C. Hafner, and C. Wojtan, “Fundamental solutions for water wave animation,” ACM Transactions on Graphics, vol. 38, no. 4. ACM, 2019.
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2018 | Published | Journal Article | IST-REx-ID: 134 |
S. Jeschke, T. Skrivan, M. Mueller Fischer, N. Chentanez, M. Macklin, and C. Wojtan, “Water surface wavelets,” ACM Transactions on Graphics, vol. 37, no. 4. ACM, 2018.
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2018 | Published | Journal Article | IST-REx-ID: 135 |
T. Sato, C. Wojtan, N. Thuerey, T. Igarashi, and R. Ando, “Extended narrow band FLIP for liquid simulations,” Computer Graphics Forum, vol. 37, no. 2. Wiley, pp. 169–177, 2018.
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2017 | Published | Conference Paper | IST-REx-ID: 998 |
S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, “iCaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.
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