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Volume 16, 2026 / Edição 2

DOI: 10.1615/Int.J.UncertaintyQuantification.v16.i2

Table of Contents:

TRACTABLE INVERSE UNCERTAINTY QUANTIFICATION VIA PROBABILISTIC CIRCUITS FOR APPLIED MECHANICS Maternus Herold, Jonas Siegfried Jehle, Matthias Gerdts

Maternus Herold
Research and Innovation Center, BMW Group, Munich, Germany; TransferLab, appliedAI Institute for Europe, Munich, Germany; Institute for Applied Mathematics and Scientific Computing University of the Bundeswehr Munich, Germany

Jonas Siegfried Jehle
Research and Innovation Center, BMW Group, Munich, Germany

Matthias Gerdts
Institute for Applied Mathematics and Scientific Computing University of the Bundeswehr Munich, Germany

1-28 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2025059325

STATISTICAL ANALYSIS OF A COMPLEX PLASMA SYSTEM FROM A SMALL NUMBER OF SIMULATIONS Gabriele La Valle, Tess Bernard, Roger Ghanem

Gabriele La Valle
Universit� Gustave Eiffel

Tess Bernard
General Atomics, San Diego, California, USA

Roger Ghanem
Sony Astani Department of Aerospace and Mechanical Engineering, University of Southern California, 210 KAP Hall, Los Angeles, CA 90089, USA

29-45 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2025060143

INFORMATION-GEOMETRY-BASED ROBUST BAYESIAN ANALYSIS Donatien Rossat

Donatien Rossat
Electricit� de France (EDF-R&D), Palaiseau, France

47-73 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2025061092

OPTIMAL EXPERIMENTAL DESIGN CRITERIA FOR DATA-CONSISTENT INVERSION Troy Butler, John D. Jakeman, Michael Pilosov, Scott Walsh, Timothy Wildey

Troy Butler
University of Colorado Denver

John D. Jakeman
Optimization and Uncertainty Quantification, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87123, USA

Michael Pilosov
Mind the Math, LLC, Denver, Colorado 80203, USA

Scott Walsh
QuantumScape, Denver, Colorado, USA

Timothy Wildey
Optimization and Uncertainty Quantification Department, Center for Computing Research, Sandia National Laboratories, Albuquerque, NM 87185

75-100 páginas
DOI: 10.1615/Int.J.UncertaintyQuantification.2025060023

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