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K.K. Maute

University of Colorado at Boulder

256 UCB

Boulder, CO CO 80300-0256

United States

  • University of Colorado at Boulder

SCHOLARLY PAPERS

4

DOWNLOADS

270

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

A Partitioned Flexibility (Partflex) Method for Structural Analysis

Number of pages: 27 Posted: 16 Mar 2024
kwang-chun park, Charbel Farhat, C. A. Felippa, Jin-Gyun Kim, K.K. Maute, Yong-Hwa Park, Sangjoon Shin and J.A. Gonzalez
University of Colorado at Boulder, Stanford University, University of Colorado at Boulder, Kyung Hee University, University of Colorado at Boulder, Korea Advanced Institute of Science and Technology (KAIST), Seoul National University and University of Seville
Downloads 107 (664,543)

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partitioned flexibility (PartFlex) method, flexibility-based equations of motion, partitioned displacement formulation, localized Lagrange multipliers

2.

Solving FEM Models without Assembly: Recent Progress

Number of pages: 42 Posted: 13 Sep 2025
kwang-chun park, José A. González, S. J. Shin, Seung-Hoon Kang, M.M. Hwang, Jin-Gyun Kim, F. Baqir, Jae-Hung Han, R.W. Hagos, Seung-Chan Lee, Yong-Hwa Park, Hyun-Jun Kim, K.K. Maute and C. A. Felippa
University of Colorado at Boulder, University of Seville, Seoul National University, Seoul National University, Seoul National University, Kyung Hee University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea Advanced Institute of Science and Technology (KAIST), Korea Advanced Institute of Science and Technology (KAIST), affiliation not provided to SSRN, University of Colorado at Boulder and University of Colorado at Boulder
Downloads 84 (783,685)

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partitioned stiffness (PartStiff) method, partitioned flexibility (PartFlex) method, partitioned displacement formulation, flexibility-based equations of motion

3.

Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data

Number of pages: 39 Posted: 23 Aug 2024
Grant Norman, Jacqueline Wentz, Hemanth Kola, K.K. Maute and Alireza Doostan
affiliation not provided to SSRN, Sandia National Laboratories, Sandia National Laboratories, University of Colorado at Boulder and University of Colorado at Boulder
Downloads 68 (899,324)

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Equation Discovery, Data-Driven Modeling, Nonlinear Dynamics, Partial Differential Equations, Data-Driven Discovery, Machine Learning

4.

LEARNING GRADIENT FLOW: USING EQUATION DISCOVERY TO ACCELERATE ENGINEERING OPTIMIZATION

Number of pages: 44 Posted: 17 Feb 2026
Grant Norman, Conor Rowan, K.K. Maute and Alireza Doostan
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Colorado at Boulder and University of Colorado at Boulder
Downloads 11 (1,541,665)

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Equation discovery, Data-driven modeling, Gradient flow, Surrogate models, Optimization