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The Journal of Physical Chemistry Letters
|
March 4, 2026
Fine-Tuning Unifies Foundational Machine-Learned Interatomic Potential Architectures at <i>ab initio</i> Accuracy
Jonas Hänseroth, Aaron Flötotto, Muhammad Nawaz Qaisrani, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
February 16, 2026
Large-Scale Cooperative Sulfur Vacancy Dynamics in Two-Dimensional Mos<sub>2</sub> From Machine Learning Interatomic Potentials
Aaron Flötotto, Benjamin Spetzler, Rose von Stackelberg, et al.
Journal of Chemical Theory and Computation
|
May 20, 2026
Bridging Atomistic and Mesoscale Lithium Transport via Machine-Learned Force Fields and Markov State Models
Muhammad Nawaz Qaisrani, Christoph Kirsch, Aaron Flötotto, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 3) with videos related to
Sort By:
Page
of 1
The Journal of Physical Chemistry Letters
|
March 4, 2026
Fine-Tuning Unifies Foundational Machine-Learned Interatomic Potential Architectures at <i>ab initio</i> Accuracy
Jonas Hänseroth, Aaron Flötotto, Muhammad Nawaz Qaisrani, et al.
Small (Weinheim an Der Bergstrasse, Germany)
|
February 16, 2026
Large-Scale Cooperative Sulfur Vacancy Dynamics in Two-Dimensional Mos<sub>2</sub> From Machine Learning Interatomic Potentials
Aaron Flötotto, Benjamin Spetzler, Rose von Stackelberg, et al.
Journal of Chemical Theory and Computation
|
May 20, 2026
Bridging Atomistic and Mesoscale Lithium Transport via Machine-Learned Force Fields and Markov State Models
Muhammad Nawaz Qaisrani, Christoph Kirsch, Aaron Flötotto, et al.
Page
of 1