Phaedon‐Stelios Koutsourelakis

3.4k citations

56 papers · 2.5k indexed · 1 hit paper · h-index 21

Statistics, Probability and Uncertainty top 0.1%
- Probabilistic and Robust Engineering Design 32
Statistical and Nonlinear Physics top 1%
- Model Reduction and Neural Networks 16
Civil and Structural Engineering top 1%
- Structural Health Monitoring Techniques 12
Safety, Risk, Reliability and Quality top 2%
Computational Theory and Mathematics top 1%
- Advanced Multi-Objective Optimization Algorithms 9
- Advanced Mathematical Modeling in Engineering 4
Artificial Intelligence
- Gaussian Processes and Bayesian Inference 8
Materials Chemistry
- Machine Learning in Materials Science 7
Molecular Biology
- Protein Structure and Dynamics 5

Co-authors: H.J. Pradlwarter G.I. Schuëller Nicholas Zabaras Paris Perdikaris Yinhao Zhu Dimos C. Charmpis George Deodatis Jean H. Prévost
Cited by: Statistics, Probability and Uncertainty Statistical and Nonlinear Physics Civil and Structural Engineering
Journals: The Journal of Chemical Physics (1 paper)SHILAP Revista de lepidopterología (2 papers)Acta Materialia (1 paper)
Partner nations: Germany United States Austria

In The Last Decade

Phaedon‐Stelios Koutsourelakis

54 papers receiving 2.4k citations

Hit Papers

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Peers

Countries citing papers authored by Phaedon‐Stelios Koutsourelakis

Since Specialization

Citations

This map shows the geographic impact of Phaedon‐Stelios Koutsourelakis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phaedon‐Stelios Koutsourelakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phaedon‐Stelios Koutsourelakis more than expected).

Fields of papers citing papers by Phaedon‐Stelios Koutsourelakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phaedon‐Stelios Koutsourelakis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phaedon‐Stelios Koutsourelakis. The network helps show where Phaedon‐Stelios Koutsourelakis may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Phaedon‐Stelios Koutsourelakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phaedon‐Stelios Koutsourelakis Line = papers co-authored together Phaedon‐Stelios Koutsourelakis links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Efficient Bayesian multi-fidelity inverse analysis for expensive and non-differentiable physics-based simulations in high stochastic dimensions mediaTUM (Technical University of Munich) ·Jonas Nitzler,Buğrahan Z. Temür,Phaedon‐Stelios Koutsourelakis,Wolfgang A. Wall	2025	0
2	DGenNO: a novel physics-aware neural operator for solving forward and inverse PDE problems based on deep, generative probabilistic modeling Journal of Computational Physics ·Yaohua Zang,Phaedon‐Stelios Koutsourelakis	2025	1
3	Weak neural variational inference for solving Bayesian inverse problems without forward models: Applications in elastography Computer Methods in Applied Mechanics and Engineering ·Vincent C. Scholz,Yaohua Zang,Phaedon‐Stelios Koutsourelakis	2024	2
4	Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Computer Methods in Applied Mechanics and Engineering ·Matthaios Chatzopoulos,Phaedon‐Stelios Koutsourelakis	2024	3
5	PSP-GEN: Stochastic inversion of the Process–Structure–Property chain in materials design through deep, generative probabilistic modeling Acta Materialia ·Yaohua Zang,Phaedon‐Stelios Koutsourelakis	2024	3
6	From concrete mixture to structural design—a holistic optimization procedure in the presence of uncertainties SHILAP Revista de lepidopterología ·Atul Agrawal,Erik Tamsen,Jörg F. Unger,Phaedon‐Stelios Koutsourelakis	2024	2
7	A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty Journal of Computational Physics ·Atul Agrawal,Phaedon‐Stelios Koutsourelakis	2024	9
8	Application of Machine Learning Algorithms to Metadynamics for the Elucidation of the Binding Modes and Free Energy Landscape of Drug/Target Interactions: a Case Study Chemistry - A European Journal ·Gohar A. Siddiqui,Julia A. Stebani,Darren Wragg,Phaedon‐Stelios Koutsourelakis,Angela Casini,Alessio Gagliardi	2023	7
9	Self-supervised optimization of random material microstructures in the small-data regime npj Computational Materials ·Maximilian Rixner,Phaedon‐Stelios Koutsourelakis	2022	14
10	A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations Computer Methods in Applied Mechanics and Engineering ·Jonas Nitzler,Jonas Biehler,Niklas Fehn,Phaedon‐Stelios Koutsourelakis,Wolfgang A. Wall	2022	14
11	Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems Journal of Computational Physics ·Sebastian Kaltenbach,Phaedon‐Stelios Koutsourelakis	2020	19
12	A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime Journal of Computational Physics ·Constantin Grigo,Phaedon‐Stelios Koutsourelakis	2019	25
13	Predictive collective variable discovery with deep Bayesian models The Journal of Chemical Physics ·Markus Schöberl,Nicholas Zabaras,Phaedon‐Stelios Koutsourelakis	2019	27
14	Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled databreakdown → Journal of Computational Physics ·Yinhao Zhu,Nicholas Zabaras,Phaedon‐Stelios Koutsourelakis,Paris Perdikaris	2019	672
15	Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media SIAM/ASA Journal on Uncertainty Quantification ·Constantin Grigo,Phaedon‐Stelios Koutsourelakis	2019	19
16	Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics Journal of Computational Physics ·Isabell M. Franck,Phaedon‐Stelios Koutsourelakis	2016	12
17	Special Issue: Big data and predictive computational modeling Journal of Computational Physics ·Phaedon‐Stelios Koutsourelakis,Nicholas Zabaras,Mark Girolami	2016	10
18	Predictive coarse-graining Journal of Computational Physics ·Markus Schöberl,Nicholas Zabaras,Phaedon‐Stelios Koutsourelakis	2016	25
19	Variational Bayesian strategies for high-dimensional, stochastic design problems Journal of Computational Physics ·Phaedon‐Stelios Koutsourelakis	2015	7
20	Sparse Variational Bayesian approximations for nonlinear inverse problems: Applications in nonlinear elastography Computer Methods in Applied Mechanics and Engineering ·Isabell M. Franck,Phaedon‐Stelios Koutsourelakis	2015	19

About Phaedon‐Stelios Koutsourelakis

Phaedon‐Stelios Koutsourelakis is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (32 papers), Model Reduction and Neural Networks (16 papers), Structural Health Monitoring Techniques (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Gaussian Processes and Bayesian Inference (8 papers), Machine Learning in Materials Science (7 papers), Protein Structure and Dynamics (5 papers) and Advanced Mathematical Modeling in Engineering (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Statistical and Nonlinear Physics (583 citations) and Civil and Structural Engineering (961 citations). Phaedon‐Stelios Koutsourelakis has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include H.J. Pradlwarter, G.I. Schuëller, Nicholas Zabaras, Paris Perdikaris, Yinhao Zhu, Dimos C. Charmpis, George Deodatis, Jean H. Prévost, Ilias Bilionis and Manolis Papadrakakis. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Acta Materialia.

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