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cond-mat.soft2026
Colloidal gel morphology and phase behavior differs based on the electrostatic interaction model in concentrated electrolytes
Hwigwang Lim, Caleb Youngwerth, Lisa Je +2
Predicting how nanoparticles interact in concentrated electrolytes remains a central challenge in nanoscience, with implications spanning energy storage, catalysis, and soft materi…
cond-mat.soft2025★ 1 cited
Extrapolation of Machine-Learning Interatomic Potentials for Organic and Polymeric Systems
Natalie E. Hooven, Arthur Y. Lin, Charles H. Carroll +1
Machine-Learning Interatomic Potentials (MLIPs) have surged in popularity due to their promise of expanding the spatiotemporal scales possible for simulating molecules with high fi…