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.ins-det2023
Effect of inelastic ion collisions on low-gain avalanche detectors explained by an A_Si-Si_i-defect mode
Kevin Lauer, Stephanie Reiß, Aaron Flötotto +8
The acceptor removal phenomenon (ARP), which hampers the functionality of low-gain avalanche detectors (LGAD), is discussed in frame of the A_Si-Si_i-defect model. The assumption o…