Key questions that scientists and engineers typically want to address can be formulated in
terms of predictive science. Questions such as:" How well does my computational model …

The present work is concerned with the verification and validation of a variant of the
eigenfracture scheme of Schmidt et al.(2009) based on element erosion, which we refer to …

We propose a rigorous framework for uncertainty quantification (UQ) in which the UQ
objectives and its assumptions/information set are brought to the forefront. This framework …

The design and development of cutting-edge light materials for extreme conditions including
high-speed impact remains a continuing and significant challenge in spite of steady …

We evaluate the performance of the Optimal Transportation Meshfree (OTM) method of Li et
al.[21], suitably extended to account for seizing contact and fracture, in applications involving …

Computational models of the heart have reached a maturity level that render them useful for
in silico studies of arrhythmia and other cardiac diseases. However, the translation to the …

We present a monolithic incremental Lagrangian framework based on meshfree methods,
the Hot Optimal Transportation Meshfree (HOTM) method, for a robust and efficient solution …

For every dynamic problem an ad hoc model can be developed to reproduce the damage
levels in materials. This work provides a unified model to capture low to high strain rate and …

This paper introduces a conceptual framework for the robust optimization under uncertainty
in the directed energy deposition (DED) of M4 High-Speed Steel. The goal is to identify …

A novel surrogate model based on the Local Maximum-Entropy (LME) approximation is
proposed in this paper. By varying the degrees of locality, the LME-based surrogate model is …