ISTHMUS: Interfacing Surface Triangles and voxels for Heterogenous Multiphysics Simulations
ISTHMUS
ISTHMUS provides a bridge between voxelized geometries and their surface representations. While voxels and pixels are commonly used to approximate solid structures in imaging and simulations, voxelized surfaces fail to capture curved interfaces, creating challenges when modeling fluid flow around them. ISTHMUS introduces Marching Windows, a method to generate accurate surface definitions for voxelized structures and consistently transfer fluxes between the surface mesh and voxels. ISTHMUS is an active development project and is available to the public as an open source C++ code repository, hosted on Github.
- Huff, E., & Poovathingal, S. J. (2026). A Consistent Interface Reconstruction and Coupling Method for Multiphysics Simulations. arXiv. https://doi.org/10.48550/arXiv.2603.07396
- Yassin, A. H., Huff, E. H., Mohan Ramu, V. B., Tacchi, B., Américo, C. E., Stoffel, T. D., & Poovathingal, S. J. (2026). ISTHMUS: Interfacing Surface Triangles and voxels for Heterogeneous MUltiphysics Simulations. SoftwareX, 34, 102660. https://doi.org/10.1016/j.softx.2026.102660
HERMES: Heterogeneous Effective Representative Multi-scale property Extraction Software
HERMES
HERMES is a Python framework for extracting geometric and statistical descriptors from three-dimensional volumetric microstructure data. It provides an integrated workflow for segmentation, sub-volume sampling, voxel-to-surface reconstruction, mesh cleanup, feature extraction, and high-throughput property analysis. The code is designed for heterogeneous materials where a single bulk average does not capture the variability present across a reconstructed volume. HERMES can sample many sub-volumes from one or more primary 3D image volumes and compute property distributions for each sampled structure. HERMES is under active development and is available to the public as an open source code repository, hosted on Github.
- Chacon, L. A., Banerjee, A., Stoffel, T. D., & Poovathingal, S. J. (2026). A computational framework for automated microstructure volume generation and property extraction from X-ray computed tomography (XRCT) data. Computational Materials Science. Under review.
