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Ember L. Sikorski
Ember L. Sikorski
Verified email at sandia.gov
Title
Cited by
Cited by
Year
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
262017
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
192023
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
82023
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
82019
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
72020
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
42020
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
22021
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
22019
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
22019
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
12023
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
12022
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
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Articles 1–18