Leaderboards/Probabilistic and Robust Engineering Design

Probabilistic and Robust Engineering Design

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Sifan Wang
APT Foundation
2
Changqi Luo
University of Electronic Science and Technology of China
3
Moritz Flaschel
ETH Zurich
4
Jan N. Fuhg
The University of Texas at Austin
5
Polihronis-Thomas Dimitrios Spanos
California Institute of Technology
6
Suzana Ereiz
University of Zagreb
7
Maliki Moustapha
ETH Zurich
8
Alexander Berger
Universität Ulm
9
Alan A. Kaptanoglu
Courant Institute of Mathematical Sciences
10
Adolphus Lye
National University of Singapore

Rising Stars Papers

1
Respecting causality for training physics-informed neural networks
Computer Methods in Applied Mechanics and Engineering|2024
269 cit.
2
Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy
Computer Methods in Applied Mechanics and Engineering|2024
103 cit.
3
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics
Computer Methods in Applied Mechanics and Engineering|2024
47 cit.
4
Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis
Reliability Engineering & System Safety|2024
34 cit.
5
Convex neural networks learn generalized standard material models
Journal of the Mechanics and Physics of Solids|2025
34 cit.
6
Linearization Techniques for Non-Linear Dynamical Systems
CaltechAUTHORS (California Institute of Technology)|2024
30 cit.
7
Polyconvex neural network models of thermoelasticity
Journal of the Mechanics and Physics of Solids|2024
24 cit.
8
Automated model discovery of finite strain elastoplasticity from uniaxial experiments
Computer Methods in Applied Mechanics and Engineering|2024
24 cit.
9
Uniform importance sampling with rejection control for structural reliability analysis
Computer Methods in Applied Mechanics and Engineering|2024
18 cit.
10
Inverse design of anisotropic microstructures using physics-augmented neural networks
Journal of the Mechanics and Physics of Solids|2025
18 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Paris Perdikaris
University of Pennsylvania
2
Haitham M. Yousof
Benha University
3
T. Mukhopadhyay
University of Southampton
4
Ehab M. Almetwally
Imam Mohammad ibn Saud Islamic University
5
Lu-Kai Song
University of Science and Technology Beijing
6
Stefano Ubbiali
ETH Zurich
7
Ahmed Z. Afify
Benha University
8
Xiaopeng Niu
University of Electronic Science and Technology of China
9
Cheng Lu
Northwestern Polytechnical University
10
Chengning Zhou
University of Electronic Science and Technology of China

Emerging Leaders Papers

1
Respecting causality for training physics-informed neural networks
Computer Methods in Applied Mechanics and Engineering|2024
269 cit.
2
Programmable multi-physical mechanics of mechanical metamaterials
Materials Science and Engineering R Reports|2023
173 cit.
3
Predicting elemental stiffness matrix of FG nanoplates using Gaussian Process Regression based surrogate model in framework of layerwise model
Engineering Analysis with Boundary Elements|2022
165 cit.
4
Defect tolerant fatigue assessment of AM materials: Size effect and probabilistic prospects
International Journal of Fatigue|2022
156 cit.
5
A foundation model for the Earth system
Nature|2025
132 cit.
6
Improved Architectures and Training Algorithms for Deep Operator Networks
Journal of Scientific Computing|2022
118 cit.
7
EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis
Computer Methods in Applied Mechanics and Engineering|2022
116 cit.
8
Long-time integration of parametric evolution equations with physics-informed DeepONets
Journal of Computational Physics|2022
114 cit.
9
Defect sensitivity and fatigue design: Deterministic and probabilistic aspects in additively manufactured metallic materials
Progress in Materials Science|2024
100 cit.
10
Vibration and Buckling Analyses of Sandwich Plates Containing Functionally Graded Metal Foam Core
Acta Mechanica Solida Sinica|2022
68 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
George Em Karniadakis
John Brown University
2
Marc Lambert
Supélec
3
James L. Beck
California Institute of Technology
4
Sankaran Mahadevan
Vanderbilt University
5
Dan M. Frangopol
Lehigh University
6
Karen Willcox
The University of Texas at Austin
7
Bruno Sudret
Électricité de France (France)
8
Henry P. Wynn
Indiana University – Purdue University Indianapolis
9
Jasbir S. Arora
Panjab University
10
N. Balakrishnan
Atilim University

Current Senior Leaders Papers

1
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Journal of Computational Physics|2018
16.9k cit.
2
Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling
Journal of Physics Conference Series|2014
12.2k cit.
3
Design and Analysis of Computer Experiments
Statistical Science|1989
7k cit.
4
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
SIAM Journal on Scientific Computing|2002
4.7k cit.
5
Survey of multi-objective optimization methods for engineering
Structural and Multidisciplinary Optimization|2004
4.6k cit.
6
Global sensitivity analysis using polynomial chaos expansions
Reliability Engineering & System Safety|2007
2.4k cit.
7
Estimation of small failure probabilities in high dimensions by subset simulation
Probabilistic Engineering Mechanics|2001
2.4k cit.
8
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
Science|2020
2k cit.
9
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
SIAM Review|2015
1.8k cit.
10
The weighted sum method for multi-objective optimization: new insights
Structural and Multidisciplinary Optimization|2009
1.7k cit.

Reagents for Probabilistic and Robust Engineering Design

Citation-validated products used in this field

🔥 Trending

Gaining adoption fast

⭐ Top Rated

Best all-around

🌟 All-Time

Most validated

Cell Signaling TechnologyEvidence 64

Mer (D8W8T) Rabbit Monoclonal Antibody

#38102$161,351
View Evidence →
Cell Signaling TechnologyEvidence 66

Cleaved Caspase-3 (Asp175) (5A1E) Rabbit Monoclonal Antibody (BSA and Azide Free)

#94530$898
View Evidence →