Research output per year
Research output per year
Personal profile
Austrian Fields of Study 2012 (6-stellig)
- 101024 Probability theory
- 102035 Data science
- 103043 Computational physics
- 201132 Computational engineering
- 203037 Computational engineering
- 206001 Biomedical engineering
- 101014 Numerical mathematics
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Dive into the research topics where Sascha Ranftl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A neural network-based material cell for elastoplasticity and its performance in FE analyses of boundary value problems
Guan, S., Zhang, X., Ranftl, S. & Qu, T., Dec 2023, In: International Journal of Plasticity. 171, 103811.Research output: Contribution to journal › Article › peer-review
Open Access -
Physics-Consistency Condition for Infinite Neural Networks and Experimental Characterization
Ranftl, S. & Guan, S., 2023, In: Physical Sciences Forum. 9, 1, 15.Research output: Contribution to journal › Article › peer-review
Open Access -
Physics-consistency of infinite neural networks
Ranftl, S., 2023, NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Robust Bayesian target value optimization
Hoffer, J. G., Ranftl, S. & Geiger, B. C., Jun 2023, In: Computers and Industrial Engineering. 180, 109279.Research output: Contribution to journal › Article › peer-review
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A Bayesian approach to blood rheological uncertainties in aortic hemodynamics
Ranftl, S., Müller, T. S., Windberger, U., Brenn, G. & von der Linden, W., 2022, (E-pub ahead of print) In: International Journal for Numerical Methods in Biomedical Engineering. e3576.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
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Time calibration of a novel phenomenological thrombus formation model through global sensitivity analysis and a Bayesian approach
Gian Marco Melito (Speaker), Alireza Jafarinia (Contributor), Sascha Ranftl (Contributor), Wolfgang von der Linden (Contributor), Thomas Hochrainer (Contributor) & Katrin Ellermann (Contributor)
7 Jun 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Risks (Journal)
Sascha Ranftl (Peer reviewer)
2021 → …Activity: Publication peer-review or editorial work › Peer review of manuscripts
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Mathematics (Journal)
Sascha Ranftl (Peer reviewer)
2021Activity: Publication peer-review or editorial work › Peer review of manuscripts
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Entropy (Journal)
Sascha Ranftl (Peer reviewer)
2021Activity: Publication peer-review or editorial work › Editorial activity
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Applied Sciences (Journal)
Sascha Ranftl (Peer reviewer)
2021Activity: Publication peer-review or editorial work › Peer review of manuscripts
Prizes
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MaxEnt 2018 Young Author Best Paper Award: Bayesian Analysis of Femtosecond Pump-Probe Photoelectron-Photoion Coincidence Spectra
Ranftl, Sascha (Recipient), 2018
Prize: Prizes / Medals / Awards
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VENTUS - Causal, Probabilistic and Physics-Informed Machine Learning for Diagnosis and Predictive Maintenance in Wind Turbines
1/09/24 → 31/08/27
Project: Research project
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BioImpedanceDigiTwin - Intelligent Digital Twins for Arterial Assessment with Bio-Impedance Signals
1/03/23 → 1/05/24
Project: Research project
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Schrödinger-Maschine - New paths to physics-based neural networks
1/01/23 → 31/12/23
Project: Research project
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Aortic Dissection
Egger, J., Pepe, A., Schmalstieg, D., Schussnig, R., von der Linden, W., Melito, G. M., Holzapfel, G., Ramalho Queiroz Pacheco, D., Jafarinia, A., Brenn, G., Ranftl, S., Müller, T. S., Gupta, I., Steinbach, O., Fries, T., Badeli, V., Hochrainer, T., Schanz, M., Rolf-Pissarczyk, M., Biro, O. & Ellermann, K.
1/01/18 → 31/12/20
Project: Research project