Research

By Dr Surya Kalidindi – CTO, Multiscale Technologies | Papers & Citations. Introduction Engineering and scientific computing have long relied on forward solvers to simulate physical processes. These solvers predict […]

Molecular Dynamics (MD) simulations are essential for accurately predicting the physical and chemical properties of large molecular systems across various pressure and temperature ensembles. However, the high computational costs associated

High mix, low volume processes such as additive manufacturing (AM) offer tremendous promise for increasing the customization in manufacturing but are hindered by the lack of efficient methods for identifying

This article introduces systematically the foundational concepts undergirding the recently formulated AI (artificial intelligence)-based materials knowledge system (AI-MKS) framework. More specifically, these concepts deal with features engineering the heterogeneous material

This prospective offers a new Bayesian framework that could guide the systematic application of the emerging toolsets of machine learning in the efforts to address two of the central bottlenecks

This paper lays the foundations to develop automated segmentation workflows. It systematically identifies the various steps and the sequence in which they should be applied to obtain good segmentation results.