| Autor: |
Trugilho, L. F., Auer, S., Rizzi, L. G. |
| Předmět: |
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| Zdroj: |
Journal of Chemical Physics; 8/7/2024, Vol. 161 Issue 5, p1-5, 5p |
| Abstrakt: |
Here, we establish an approach to determine temperature-dependent aggregation rates in terms of thermostatistical quantities, which can be obtained directly from flat-histogram and statistical temperature algorithms considering the density of states of the system. Our approach is validated through simulations of an Ising-like model with anisotropically interacting particles at temperatures close to its first-order phase transition. Quantitative comparisons between the numerically obtained forward and reverse rates to approximate analytical expressions corroborate its use as a model-independent approach. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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