Liam N. White

Liam White is an R&D Assistant Staff member in the Manufacturing Science Division at Oak Ridge National Laboratory and a Ph.D. candidate in Computational Science at Florida State University. His research focuses on developing field-driven slicing and toolpath planning strategies for additive manufacturing (AM). By integrating physics-informed fields and geometric complexity directly into the slicing process, his algorithms create toolpaths that inherently address material deposition behavior, structural performance, and downstream manufacturing constraints. This approach results in a more robust, efficient, and adaptive AM framework—enhancing part quality, minimizing defects, enabling the use of diverse materials and geometries, and demonstrating the transformative role of computational science in advancing intelligent and efficient manufacturing systems.