3 papers
physics.chem-ph2025
Bridging Atomistic and Mesoscale Lithium Transport via Machine-Learned Force Fields and Markov State Models
Muhammad Nawaz Qaisrani, Christoph Kirsch, Aaron Flötotto +4
Lithium diffusion in solid-state battery anodes occurs through thermally activated hops between metastable sites often separated by large energy barriers, making such events rare o…
physics.chem-ph2025
Fine-Tuning Unifies Foundational Machine-learned Interatomic Potential Architectures at ab initio Accuracy
Jonas Hänseroth, Aaron Flötotto, Muhammad Nawaz Qaisrani +1
This work demonstrates that fine-tuning transforms foundational machine-learned interatomic potentials (MLIPs) to achieve consistent, near-ab initio accuracy across diverse archite…
physics.chem-ph2025
Acid Base Chemistry of Short Hydrogen Bonds: A Tale of Schrödinger's Cat in Glutamine-Derived Crystals
Muhammad Nawaz Qaisrani, Nandha Kumar, Christian Dreßler +2
Short hydrogen bonds (SHBs), defined by donor-acceptor distances below 2.5 Angstrom, represent a distinct regime in acid-base chemistry where conventional models of hydrogen bondin…