Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework without Data
Journal of Chemical Theory and Computation
2025
Efficient Bayesian multi-fidelity inverse analysis for expensive and non-differentiable physics-based simulations in high stochastic dimensions
Computer Methods in Applied Mechanics and Engineering
2026
448
118442
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework without Data
Journal of Chemical Theory and Computation
2025
Stochastic Black-Box Optimization using Multi-Fidelity Score Function Estimator
Machine Learning: Science and Technology
2024
Weak neural variational inference for solving Bayesian inverse problems without forward models: Applications in elastography
Computer Methods in Applied Mechanics and Engineering
2025
433
117493
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media
Computer Methods in Applied Mechanics and Engineering
2024
432
117342
Stochastic Black-Box Optimization using Multi-Fidelity Score Function Estimator
Machine Learning: Science and Technology
2024
PSP-GEN: Stochastic inversion of the Process-Structure-Property chain in materials design through deep, generative probabilistic modeling
Acta Materialia
2024
120600
Model Bias Identification for Bayesian Calibration of Stochastic Digital Twins of Bridges
Applied Stochastic Models in Business and Industry
2024
From concrete mixture to structural design—a holistic optimization procedure in the presence of uncertainties
Data-Centric Engineering
2024
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