Additive Manufacturing (AM) is a manufacturing paradigm that builds three-dimensional
objects from a computer-aided design model by successively adding material layer by layer …

Fatigue strength is one of the most important mechanical properties of steel. Here we
describe the development and deployment of data-driven ensemble predictive models for …

Materials design aims to identify the material features that provide optimal properties for
various engineering applications, such as aerospace, automotive, and naval. One of the …

Microstructure sensitive design has a critical impact on the performance of engineering
materials. The safety and performance requirements of critical components, as well as the …

Organic solar cells are an inexpensive, flexible alternative to traditional silicon‐based solar
cells but disadvantaged by low power conversion efficiency due to empirical design and …

The paper demonstrates graphical representation of a large database containing process–
microstructure relationships using an unsupervised machine learning algorithm. Correlating …

The present work addresses gradient-based and machine learning (ML)-driven design
optimization methods to enhance homogenized linear and nonlinear properties of cubic …

This paper presents a de-novo computational design method driven by deep reinforcement
learning to achieve reliable predictions and optimum properties for periodic microstructures …

THE main goal of the present study is to understand the effects of two-dimensional (2D)
microstructures on mechanical components. Recent advancement in the three-dimensional …

In recent years, the field of materials engineering has undergone a significant shift towards
data-driven discovery, fueled by the increasing availability of experimental, theoretical, and …