Stephen Lam

Google scholar – Stephen T. Lam

SELECTED PUBLICATIONS (SINCE 2020)

J. Barra, R. Chahal, S. Banerjee, M. L. Pasini, S. Irle, S. Lam, “Inverse mapping of properties to compostion: a generative modeling approach for designing molten salts”, npj Computational Materials, 11, 190 (2025).

A. Wadehra, O. Oraby, R. Chahal, A. Levy, Y. Haoxuan, Q. Ma, U. Pal, S. Lam, K. Ludwig, “Exploring the Local Structure of Molten NaF-ZrF₄ through In Situ XANES/EXAFS and Molecular Dynamics”, Journal of Physical Chemistry B, 129, 4747-4755 (2025).

S. Banerjee, R. Chahal, A. Ivanov, S. Roy, V. Bryantsev, Y. Shinohara, S. Lam, “ab initio simulated Van Hove correlation function for time-resolved local dynamics in molten MgCl₂”, Journal of Molecular Liquids, 412, 125821 (2024).

Y. Zhang, R. Chahal, M. Azeem, S. Lam, K. Ludwig, U. Pal, M. Gao, A. Powell, Y. Zhong, “Atomistic insight into the structural and thermodynamic properties of CaF₂-MgF₂ binary fluoride system at high temperatures”, Computational Materials Science, 245, 113294 (2024).

J. Barra-Otondo, R. Chahal, S. Audesse, J. Zhang, Y. Zhong, J. Kabel, S. Lam, “Chemistry informed machine learning-based heat capacity prediction of solid mixed oxides”, Journal of Physical Chemistry Letters, 15, 17, 4721-4728 (2024).

A. Wadehra, R. Chahal, S. Banerjee, A. Levy, Y. Zhang, H. Yan, D. Olds, Y. Zhong, U. Pal, S. Lam, K. Ludwig, “X-ray and molecular dynamics study of the temperature-dependent structure of molten NaF-ZrF₄”, Physical Review Materials, 8, 075402 (2024).

N. Marcella, S. Lam, V. Bryantsev, S. Roy, A. Frenkel, “Neural network-based analysis of multimodal bond distributions using their EXAFS spectra”, Physical Review B, 109, 104201 (2024).

S. Fayfar, R. Chahal, H. Williams, D. N. Gardner, G. Zheng, D. Sprouster, J. Neuefeind, D. Olds, A. Hwang, J. Mcfarlane, R. C. Gallagher, M. Asta, S. Lam^*, R. O. Scarlat^*, B. Khaykovich^*, “Revealing the complex structure of molten FLiBe (2LiF−BeF2) by experimental x-ray scattering, neutron scattering, and deep neural network-based molecular dynamics”, PRX Energy, 3, 1, 013001 (2024).

R. Chahal, S. Roy, M. Brehm, S. Banerjee, V. Bryantsev, S. Lam, “Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF-NaF-ZrF₄ Molten Salt”, JACS Au, 2, 12, p. 2693-2702 (2022).

Y. Shi, S. Lam, T. Beck, “Deep neural network-based quantum simulations and quasichemical theory for accurate modeling of molten salt thermodynamics”, Chemical Science, 13, 28, p.8265-8273 (2022). Cover Article: https://pubs.rsc.org/en/content/articlepdf/2022/sc/d2sc02227c

R. Chahal, S. Banerjee, S. Lam, “Short to Intermediate-range Structure, Transport, and Thermophysical Properties of LiF-NaF-ZrF4 Molten Salts”, Frontiers in Physics, Physical Chemistry and Chemical Physics, 10, 830468 (2022).

A. Rodriguiez, M. Hu, S. Lam, “Thermodynamic and Transport Properties of LiF and FLiBe Molten Salts with Deep Learning Potentials”, ACS Applied Materials and Interfaces, 13, 46, p.55367-55379 (2021).

S. Lam, Q-J. Li, R. Ballinger, C. Forsberg, J. Li, “Modeling LiF and FLiBe Molten Salts with Robust Neural Network Interatomic Potential”, ACS Applied Materials and Interfaces, 13, 21, p. 24582-24592 (2021).

Q-J. Li, E. Kucukbenli, S. Lam, B. Khaykovich, E. Kaxiras, J. Li, “Development of Robust Neural-Network Interatomic Potential for Molten Salt”, Cell Reports Physical Science, 2, 3, 100359 (2021). Featured in Highly Cited Papers – 2021: https://www.cell.com/cell-reports-physical-science/collections/highly_cited

Q-J. Li, D. Sprouster, G. Zheng, J. Neuefeind, A. Braatz, J. Mcfarlane, D. Olds, S. Lam, J. Li, B. Khaykovich, “Complex structure of molten NaCl-CrCl3 salt: Cr-Cl octahedra network and intermediate-range order”, ACS Applied Energy Materials, 4, 4, p. 3044-3056 (2021).

S. Lam, Q-J. Li, C. Forsberg, R. Ballinger, “The Impact of Hydrogen Valence on Its Bonding and Transport in Molten Fluoride Salts”, Journal of Materials Chemistry A, 9, 1784, (2021).

B. Zohuri, S. Lam, C. Forsberg, “Heat-Pipe Heat Exchangers for Salt-Cooled Fission and Fusion Reactors to Avoid Salt Freezing and Control Tritium: A Review”, Nuclear Technology, 206, p. 1642 -1658 (2020).

C. Forsberg, G. Zheng, R. Ballinger, S. Lam, “Fusion Blankets and Fluoride-Salt-Cooled High-temperature Reactors with Flibe Salt Coolant: Common Challenges, Tritium Control, and Opportunities for Synergistic Development Strategies Between Fission, Fusion and Solar Salt Technologies”, Nuclear Technology, 206, p. 1778-1801 (2020).

H. Wu, R. Gakhar, A. Chen, S. Lam, C. Marshall, R. Scarlat, “Comparative analysis of microstructure and reactive sites for nuclear graphite IG-110 and graphite matrix A3”, Journal of Nuclear Materials, Vol. 528, 151802 (2020).