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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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Researchers

Pravallika Devineni
Prasanna Date
John Mitchell
Mark Coletti
Frank Liu
Addi Thakur Malviya
Jose Borreguero
Pete Peterson
Minsu Kim
Jean Bilheux
Jiaxin Zhang
Pablo Moriano
Konstantin Pieper
Olivera Kotevska
Viktor Reshniak
Guannan Zhang
Ramakrishnan (Ramki) Kannan
Seung-Hwan Lim
Laura Pullum
Travis Johnston
Nicholas Haas
Christopher Stahl
Catherine Schuman
Drahomira Herrmannova
Steven Young
Chelsey Dunivan Stahl
Matt (Sangkeun) Lee
Junghoon Chae
Hoang Tran
James Kress
Jong Youl Choi

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