Publications
Showing 25 results for Author: Sam T. Reeve
Jul, 2026
Journal
Establishing model credibility for process-microstructure-property relationships in additive manufacturing using exascale computing
Additive Manufacturing (AM) of alloys holds significant promise as a disruptive technology in various industries, yet its adoption is often hindered by challenges in achieving consistent part quality. These issues are primarily due to the complex process-microstructure-property (PSP) relationships inherent to AM. Computational models can greatly aid in understanding these…
Jan, 2026
Journal
Metal additive manufacturing simulation across length, time, and computing scales
Metal additive manufacturing (AM) offers a unique opportunity for production of advanced materials and complex geometries. However, variability in microstructure and properties challenges conventional approaches to design, process optimization, qualification, and materials selection. Modeling and simulation can improve understanding of AM processing and materials, but also…
Jul, 2025
Journal
Myna: Connecting Powder Bed Fusion Build Data to Simulation Tools for Digital Twin Applications
Additive manufacturing (AM), as a digital process, can generate a detailed digital thread linking a part’s design and manufacturing to its operational performance. As AM systems advance, an increasing amount of process data is stored in manufacturing databases. In principle, this data can be utilized by simulation-based digital twin approaches, such as real-time process co…
Jun, 2025
Journal
AdditiveFOAM: A Continuum Multiphysics Code for Additive Manufacturing
AdditiveFOAM is a computational framework that simulates transport phenomena in Additive Manufacturing (AM) processes. It is built on OpenFOAM (Weller et al., 1998), the leading free, open-source software package for computational fluid dynamics (CFD). OpenFOAM offers an extensible platform for solving complex multiphysics problems using state-of-the-art finite volume meth…
Feb, 2025
Journal
Co-design for Particle Applications at Exascale
Co-design across the Exascale Computing Project has been critical for both enabling science applications and bringing disparate communities together. Developing and porting applications to the various high-performance computing architectures on pre-exascale and exascale computers has been quite challenging due to the diversity of hardware features and software stacks. The…
Feb, 2025
Journal
Toucan: A Performance Portable, Scalable Implementation of the DECA Algorithm
In the field of additive manufacturing (AM), cellular automata (CA) is extensively used to simulate microstructural evolution during solidification. However, while traditional CA approaches are relatively fast, they still require a substantial number of time steps, are limited to moderate volumes, and are relatively difficult to improve through parallelism due to the highl…
Feb, 2025
Journal
ExaCA v2.0: A versatile, scalable, and performance portable cellular automata application for additive manufacturing solidification
The previously established ExaCA software for performance portable alloy grain structure simulation has been updated to better represent the solidification behavior during complex alloy processing conditions, such as those encountered during metal additive manufacturing (AM), and for improved performance and scalability. An extension to the time–temperature history input d…