Abstract
Understanding the speciation of metal ions dissolved in molten salts (MS) is critical for enabling a broad range of high-temperature energy applications, including MS nuclear reactors and concentrated solar power plants. However, due to the inherent dynamicity of metal species in the MS environment and the strong temperature dependencies of their multiple coexisting forms, they are difficult to resolve structurally. Herein, we show that combining in situ X-ray absorption spectroscopy (XAS) with ab initio molecular dynamics (AIMD) simulations is necessary to uncover and quantify the coexisting coordination states of Ni(II) in molten MgCl2–KCl mixtures and explain how the temperature and salt composition control their relative populations. Furthermore, from the interionic angle and distance distributions of nickel in different coordination states obtained from AIMD simulations, it is evident that for each coordination state, the width and skewness of their bonding distributions increase with increasing coordination number. The combination of XAS with first-principles modeling to resolve metastable metal species in MS is critical for understanding their behavior over a wide range of temperatures and chemical environments in nuclear and solar applications.
| Original language | English |
|---|---|
| Pages (from-to) | 169-178 |
| Number of pages | 10 |
| Journal | ACS Applied Energy Materials |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 12 2026 |
Funding
This work was supported as part of the Molten Salts in Extreme Environments Energy Frontier Research Center, funded by the U.S. Department of Energy (DOE), Office of Science. Brookhaven National Laboratory (BNL) and Oak Ridge National Laboratory (ORNL) are operated under DOE Contract Nos. DE-SC0012704 and DE-AC05-00OR22725, respectively. Work at the University of Tennessee was performed under subcontract to BNL. This research used resources of the ISS (8-ID) beamline at the NSLS-II, operated by BNL under Contract No. DE-SC0012704, a DOE Office of Science User Facility. The authors thank Dr. Akhil Tayal for helping with the XAS data collection at the ISS beamline. The authors thank Dr. Ruchi Gakhar and Dr. Alejandro Ramos-Ballesteros for valuable discussions on the UV–vis data. This research used resources of the Compute and Data Environment for Science (CADES) at the ORNL and the National Energy Research Scientific Computing Center (NERSC), which are supported by the Office of Science of the DOE under Contract Nos. DE-AC05-00OR22725 and DE-AC02-05CH11231, respectively.
Keywords
- AIMD
- EXAFS
- heterogeneity
- speciation
- XANES