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Collaborations and top research areas from the last five years
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Algebraic language models for inverse design of metamaterials via diffusion transformers
Zheng, L., Kumar, S. & Kochmann, D. M., 2026, In: Nature Machine Intelligence. 8, 4, p. 628-640 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
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COMMET: Orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates
Alheit, B. H., Peirlinck, M. & Kumar, S., 2026, In: Computer Methods in Applied Mechanics and Engineering. 452, 29 p., 118728.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)2 Downloads (Pure) -
Discovery of Hyperelastic Constitutive Laws from Experimental Data with EUCLID
Abbasi, A., Ricci, M., Carrara, P., Flaschel, M., Kumar, S., Marfia, S. & De Lorenzis, L., 2026, In: Experimental Mechanics. 32 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Hetero-EUCLID: Interpretable model discovery for heterogeneous hyperelastic materials using stress-unsupervised learning
Chaurasiya, K. L., Dutta, S., Kumar, S. & Joshi, A., 2026, In: Computer Methods in Applied Mechanics and Engineering. 452, 46 p., 118729.Research output: Contribution to journal › Article › Scientific › peer-review
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Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study
Krijnen, R. P., Joshi, A., Kumar, S. & Peirlinck, M., 2026, In: Computer Methods in Applied Mechanics and Engineering. 459, 26 p., 119034.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile
Datasets
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Data and code underlying the publication: Deep learning reveals key predictor of thermal conductivity of covalent organic frameworks
Thakolkaran, P. (Creator), Zheng, Y. (Creator), Guo, Y. (Creator), Vashisth, A. (Creator) & Kumar, S. (Creator), TU Delft - 4TU.ResearchData, 2 Oct 2025
DOI: 10.4121/5866cc9a-78bf-4a0c-9280-ae526da86ac9
Dataset/Software: Dataset
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Source Data for: Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces
Mohseni Armaki, A. (Creator), Guo, Y. (Creator), Ahmadi, M. (Creator), Streefland, R. (Creator), Bäuerlein, P. S. (Creator), Mol, A. (Creator), Kumar, S. (Creator) & Taheri, P. (Creator), TU Delft - 4TU.ResearchData, 21 Aug 2025
DOI: 10.4121/fd5d845a-70aa-452f-b662-e72e1e057f34
Dataset/Software: Dataset
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Data and Code underlying publication: Experiment-informed finite-strain inverse design of spinodal metamaterials
Thakolkaran, P. (Creator), Kumar, S. (Creator), Espinal, M. (Creator), Dhulipala, S. (Creator) & Portela, C. M. (Creator), TU Delft - 4TU.ResearchData, 30 Dec 2024
DOI: 10.4121/bdc2b8d2-d000-4f56-ab0e-e64a147220fd
Dataset/Software: Software
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Code for: Ion Sensing based on Frequency-Dependent Physico-Chemical Processes at Electrode/Electrolyte Interfaces
Mohseni Armaki, A. (Creator), Guo, Y. (Creator), Ahmadi, M. (Creator), Streefland, R. (Creator), Mol, A. (Creator), Bäuerlein, P. (Creator), Kumar, S. (Creator) & Taheri, P. (Creator), TU Delft - 4TU.ResearchData, 21 Aug 2025
DOI: 10.4121/086b2944-01bf-4f7c-ba34-f75d19e154d0
Dataset/Software: Software
Press/Media
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TU Delft-team 3D-print nieuw slim materiaal dat piëzo-elektrische grenzen doorbreekt
Sharma, S., Masania, K., Kumar, S., Jovanova, J., Ammu, S. K. & Thakolkaran, P.
26/02/26
2 items of Media coverage
Press/Media: Public Engagement
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Four new grants awarded for development of ‘AI Augmented Engineering Education’
Jakobi, A., Rossi, K. R., Kumar, S., Vittorietti, M., Niforatos, E. & Abdikivanani, B.
25/03/25
2 items of Media coverage
Press/Media: Public Engagement