Uncertainty quantification of microstructures: a perspective on forward and inverse problems for mechanical properties of aerospace materials

MM Billah, M Elleithy, W Khan, S Yıldız… - Advanced …, 2025 - Wiley Online Library
In this review, state‐of‐the‐art studies on the uncertainty quantification (UQ) of
microstructures in aerospace materials is examined, addressing both forward and inverse …

Multi-fidelity uncertainty quantification for homogenization problems in structure-property relationships from crystal plasticity finite elements

A Tran, P Robbe, T Rodgers, H Lim - JOM, 2024 - Springer
Crystal plasticity finite element method (CPFEM) has been an integrated computational
materials engineering (ICME) workhorse to study materials behaviors and structure-property …

A parametric study into the influence of Taylor-type scale-bridging artifacts on accuracy of multi-level crystal plasticity finite element models for Mg alloys

J Weiss, DJ Savage, M Knezevic - Computational Materials Science, 2024 - Elsevier
Meshing grain structures explicitly to incorporate microstructure dependent material
behavior in modeling tools for metal forming processes and structural components is …

Uncertainty quantification of phase transitions in magnetic materials lattices

ZE Eğer, P Acar - Applied Physics Letters, 2024 - pubs.aip.org
This Perspective article aims to emphasize the crucial role of uncertainty quantification (UQ)
in understanding magnetic phase transitions, which are pivotal in various applications …

Design of polycrystalline metallic alloys under multi-scale uncertainty by connecting atomistic to meso‑scale properties

MM Billah, P Acar - Acta Materialia, 2024 - Elsevier
Uncertainty quantification plays a pivotal role in advancing the development of reliable and
high-performance material designs via multiscale materials modeling. This study focuses on …

Multi-model Monte Carlo estimation for crystal plasticity structure–property simulations of additively manufactured metals

JD Pribe, PE Leser, SR Yeratapally… - Computational Materials …, 2025 - Elsevier
Significant uncertainty in the mechanical behavior of additively manufactured metals can
arise from complex, stochastic microstructures. Using experiments alone to quantify this …

Anomaly Detection in Materials Digital Twins with Multiscale ICME for Additive Manufacturing

A Tran, M Carlson, P Eisenlohr, H Kolla… - Integrating Materials and …, 2024 - Springer
Detecting anomaly in fatigue and fracture experimental materials science is an interesting
yet challenging topic. The reasons are threefold. First, the anomalous microstructure feature …

Understanding microstructure-property relationships of HPDC Al-Si alloy based on machine learning and crystal plasticity simulation

QQ Zhai, Z Liu, P Zhu - Advances in Manufacturing, 2024 - Springer
Al-Si alloys manufactured via high-pressure die casting (HPDC) are suitable for a wide
range of applications. However, the heterogeneous microstructure and unpredictable pore …

[HTML][HTML] Simulation-free determination of microstructure representative volume element size via Fisher scores

W Liu, S Mojumder, WK Liu, W Chen… - APL Machine Learning, 2024 - pubs.aip.org
A representative volume element (RVE) is a reasonably small unit of microstructure that can
be simulated to obtain the same effective properties as the entire microstructure sample …

[HTML][HTML] Risk Modeling in the Oil and Gas Industry.

D Rodionov, M Gataullin, I Smirnova… - International Journal …, 2023 - ijtech.eng.ui.ac.id
The oil and gas industry is a sector that is prone to risks that can have severe consequences
for both the environment and the economy. In this study. the aim is to develop an effective …