| Orchestration of materials science workflows for heterogeneous resources at large scale N Zhou, G Scorzelli, J Luettgau, RR Kancharla, JJ Kane, R Wheeler, ... The International Journal of High Performance Computing Applications 37 (3-4 …, 2023 | 4 | 2023 |
| Seeing the whole picture: Methods for getting the most from micro X-ray computed tomography of TRISO nuclear fuel particles WC Chuirazzi, JJ Kane, NL Cordes, JD Stempien, RR Kancharla, F Xu Tomography of Materials and Structures 2, 100005, 2023 | 3 | 2023 |
| Anatomical fraction segmentation in the biomass bales RR Kancharla, WA Smith, JL Klinger, EB Smith Idaho National Lab.(INL), Idaho Falls, ID (United States), 2020 | 1 | 2020 |
| Analysis of Porosity Defects and Their Impact on Tensile Behavior in LPBF Stainless Steel 316 L Utilizing X-ray Computed Tomography TUI Anwar, P Merighe, RR Kancharla, B Kombaiah, N Kouraytem Materials in Nuclear Energy Systems (MiNES 2023), 2023 | | 2023 |
| Insights into the 3D permeable pore structure within novel monodisperse mesoporous silica nanoparticles by cryogenic electron tomography Y Xia, J Liu, R Kancharla, J Li, SM Hatamlee, G Ren, V Semeykina, ... Nanoscale advances 5 (11), 2879-2886, 2023 | | 2023 |
| X-ray Computed Tomography of Deconsolidated TRISO Particles from the AGR-5/6/7 Irradiation Experiment JJ Kane, WC Chuirazzi, RR Kancharla, JD Stempien Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2022 | | 2022 |
| Rapid, Reliable Tissue Fractionation Algorithm for Commerical Scale Biorefineries RR Kancharla Boise State University, 2022 | | 2022 |
| X-Ray Imaging for Biomass Analysis RR Kancharla, E Barney Smith | | 2019 |
| A Software Framework for the Orchestration of Materials Science Workflows at Large Scale N Zhou, G Scorzelli, J Luettgau, RR Kancharla, J Kane, R Wheeler, ... | | |
