| FitSNAP: Atomistic machine learning with LAMMPS A Rohskopf, C Sievers, N Lubbers, MA Cusentino, J Goff, J Janssen, ... Journal of Open Source Software 8 (84), 5118, 2023 | 34 | 2023 |
| Excited states of light-harvesting systems based on fullerene/graphene oxide and porphyrin/smaragdyrin G Cardenas-Jiron, M Borges-Martinez, E Sikorski, T Baruah The Journal of Physical Chemistry C 121 (9), 4859-4872, 2017 | 27 | 2017 |
| Machine learned interatomic potential for dispersion strengthened plasma facing components EL Sikorski, MA Cusentino, MJ McCarthy, J Tranchida, MA Wood, ... The Journal of Chemical Physics 158 (11), 2023 | 13 | 2023 |
| Pt-Assisted Carbon Remediation of Mo2C Materials for CO Disproportionation Z Fang, LC Wang, Y Wang, E Sikorski, S Tan, KD Li-Oakey, L Li, ... ACS Catalysis 10 (3), 1894-1911, 2020 | 8 | 2020 |
| Summary of high temperature irradiation resistant thermocouple standarization tests RS Skifton, J Palmer, KL Davis, P Calderoni, D Corbett, E Sikorski Idaho National Lab.(INL), Idaho Falls, ID (United States), 2019 | 8 | 2019 |
| Improved hydrothermal corrosion resistance of UN fuel forms via addition of metallic constituents JK Watkins, E Sikorski, L Li, BJ Jaques 14th International Nuclear Fuel Cycle Conference, GLOBAL 2019 and Light …, 2020 | 5 | 2020 |
| Dynamic formation of preferentially lattice oriented, self trapped hydrogen clusters MA Cusentino, EL Sikorski, MJ McCarthy, AP Thompson, MA Wood Materials Research Express 10 (10), 106513, 2023 | 2 | 2023 |
| First-principles magnetic treatment of the uranium nitride (100) surface and effect on corrosion initiation EL Sikorski, BJ Jaques, L Li Journal of Applied Physics 130 (9), 2021 | 2 | 2021 |
| First-principles comparative study of UN and Zr corrosion EL Sikorski, TH da Silva, LK Aagesen, BJ Jaques, L Li Journal of Nuclear Materials 523, 402-412, 2019 | 2 | 2019 |
| Out-of-pile performance of high temperature irradiation resistant and cladding thermocouples RS Skifton, LA Hone, J Palmer, E Sikorski, S Riley, B Jaques, L Li Idaho National Lab.(INL), Idaho Falls, ID (United States); Boise State Univ …, 2019 | 2 | 2019 |
| Combined Experimental and Computational Study of Molybdenum and Niobium for Nuclear Sensor Application EL Sikorski, RS Skifton, L Li JOM 74 (7), 2676-2685, 2022 | 1 | 2022 |
| Predicting Vapor-Liquid Equilibria and Phase Transitions with Machine-Learned Interatomic Potentials M Wood, N Modine, D Sema, E Sikorski, S Moore, N Hadjiconstantinou APS March Meeting Abstracts 2023, N60. 004, 2023 | | 2023 |
| Molecular Dynamics Modeling of Hydrogen and Nitrogen Implantation in Tungsten Using Machine Learned Interatomic Potentials. MA Cusentino, M McCarthy, E Sikorski, M Wood, A Thompson Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Machine Learned Interatomic Potential Development of W-ZrC for Fusion Divertor Microstructure and Thermomechanical Properties. E Sikorski, MA Cusentino, M McCarthy, J Tranchida, M Wood, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| FitSNAP: Machine Learned Potentials for LAMMPS. A Rohskopf, C Sievers, M McCarthy, J Goff, E Sikorski, A Thompson, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Development of SNAP potential for ZrC strengthened W. E Sikorski, J Tranchida, MA Cusentino, M Wood, A Thompson Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Computational Studies of Amorphous UO2 for Grain Boundary Behavior EL Sikorski, EB Nelson, SC Middleburgh, L Li | | 2020 |
| First Principles Calculations on Grain Boundary and Corrosion Effects in Nuclear Materials E Sikorski, E Nelson, S Middleburgh, B Jaques, L Li APS March Meeting Abstracts 2018, V31. 010, 2018 | | 2018 |
