Finding symmetry breaking order parameters with Euclidean neural networks

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Residual stresses in hot-rolled wide flange steel cross sections may lead to premature yielding, accelerated corrosion and brittle fracture of steel members. The above phenomena lead to a loss of a steel member's stiffness and resistance under mechanical l ...

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Finding symmetry breaking order parameters with Euclidean neural networks

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Proposed residual stress model for hot‐rolled wide flange steel cross sections

Learning and optimization of anticipatory feedback controllers for robot manipulation

Universal and adaptive methods for robust stochastic optimization

Structural impact of the start-up sequence on Pelton turbines lifetime: Analytical prediction and polynomial optimization

Experimental Evaluation and Modeling of Residual Stress Distributions for Hot-Rolled Wide Flange Steel Members

Multi-agent Learning with Privacy Guarantees

Robust optimization of control parameters for WEC arrays using stochastic methods

Modeling and Design Optimization of Loosely Coupled PCB Spiral Coils in Inductive Power Transfer Systems

HPCache: memory-efficient OLAP through proportional caching revisited

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Search for new physics using effective field theory in 13 TeV pp collision events that contain a top quark pair and a boosted Z or Higgs boson