Current Year

Volume 7, 2026 / Issue 2

DOI: 10.1615/JMachLearnModelComput.v7.i2

Table of Contents:

DATA-DRIVEN MODELING AND CORRECTION OF VEHICLE DYNAMICS Nguyen Ly, Caroline Tatsuoka, Jai Nagaraj, Jacob Levy, Fernando Palafox, David Fridovich-Keil, Hannah Lu

Nguyen Ly
Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA

Caroline Tatsuoka
The Ohio State University

Jai Nagaraj
Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, USA

Jacob Levy
Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA

Fernando Palafox
Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA

David Fridovich-Keil
Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA

Hannah Lu
The University of Texas at Austin

1-30 pages
DOI: 10.1615/JMachLearnModelComput.2026062908

SCORE-BASED DIFFUSION MODELS IN INFINITE DIMENSIONS: A MALLIAVIN CALCULUS PERSPECTIVE Ehsan Mirafzali, Frank Proske, Daniele Venturi, Razvan Marinescu

Ehsan Mirafzali
Department of Computer Science, University of California Santa Cruz, Santa Cruz, California, USA

Frank Proske
Department of Mathematics, University of Oslo, Oslo, Norway

Daniele Venturi
Department of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA 95064, USA

Razvan Marinescu
Department of Computer Science, University of California Santa Cruz, Santa Cruz, California, USA

31-60 pages
DOI: 10.1615/JMachLearnModelComput.2026063274

PREDICTABILITY OF OBSERVABLES OF DYNAMICAL SYSTEMS Xinyu Liu, Dongbin Xiu

Xinyu Liu
The Ohio State University

Dongbin Xiu
Department of Mathematics, The Ohio State University, Columbus, 43210 Ohio, USA

61-72 pages
DOI: 10.1615/JMachLearnModelComput.2026064194

CODE: A GLOBAL APPROACH TO ODE DYNAMICS LEARNING Nils Wildt, Daniel M. Tartakovsky, Sergey Oladyshkin, Wolfgang Nowak

Nils Wildt
University of Stuttgart

Daniel M. Tartakovsky
Department of Energy Science & Engineering, Engineering, Stanford University, 367 Panama St., Stanford, CA 94305, USA

Sergey Oladyshkin
University of Stuttgart

Wolfgang Nowak
Institute for Modelling Hydraulic and Environmental Systems/LS3, Stuttgart Center for Simulation Science, University of Stuttgart, Stuttgart, Germany

73-105 pages
DOI: 10.1615/JMachLearnModelComput.2026062518

ON THE DEFINITION AND IMPORTANCE OF INTERPRETABILITY IN SCIENTIFIC MACHINE LEARNING Conor Rowan, Alireza Doostan

Conor Rowan
Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA

Alireza Doostan
Aerospace Mechanics Research Center, College of Engineering and Applied Science, University of Colorado, Boulder, CO 80309-0429, USA

107-131 pages
DOI: 10.1615/JMachLearnModelComput.2026062841

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