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Data Science & Machine Learning
Robust learning with implicit residual networks
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials
Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics
Monte Carlo Methods for UQ: A Survey
A data-driven approach to study the thermodynamics of high entropy alloys
Robust machine learning modeling of high entropy alloy
Uncertainty quantification with copula dependence modeling
IGSA: Imprecise global sensitivity analysis
Probabilistic modeling of composite materials with sparse data
A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics
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