Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …

Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …

A new data-driven computational framework is developed to assist in the design and
modeling of new material systems and structures. The proposed framework integrates three …

Nur wenige Methoden haben eine so langfristige Bedeutung für das Arbeitsleben eines
Ingenieurs wie die statistische Versuchsplanung. CAD-Programme ändern sich schnell, so …

The use of metamodeling techniques in the design and analysis of computer experiments
has progressed remarkably in the past 25 years, but how far has the field really come? This …

Computation-intensive design problems are becoming increasingly common in
manufacturing industries. The computation burden is often caused by expensive analysis …

Efficient sampling strategies that scale with the size of the problem, computational budget,
and users' needs are essential for various sampling-based analyses, such as sensitivity and …

This article reviews Kriging (also called spatial correlation modeling). It presents the basic
Kriging assumptions and formulas—contrasting Kriging and classic linear regression …

Monte Carlo analysis has become nearly ubiquitous since its introduction, now over 65
years ago. It is an important tool in many assessments of the reliability and robustness of …

Any device aiming to harness the abundant clean and renewable energy from ocean and
other water resources must have high energy density, be unobtrusive, have low …