First Principles Global Optimization Method From Parallel Tempering Molecular Dynamics.

• Tác giả: Gerald Geudtner, Andreas M Köster
• Ngôn ngữ: eng
• Ký hiệu phân loại: 171.8 Systems based on altruism
• Thông tin xuất bản: United States : Journal of computational chemistry , 2025
• Bộ sưu tập: NCBI
• ID: 239332

Tóm tắt

Global optimization techniques are often based on a stochastic method to explore the potential energy surface of the investigated system. The here-described global optimization is based on a temperature-driven potential energy surface exploration via Parallel Tempering Born-Oppenheimer Molecular Dynamics (PT-BOMD) simulations. Additionally, structure selection from the lowest temperature PT-BOMD trajectory for further optimization is performed with a scheme based on the Discrete Cosine Transformation (DCT). This step can be done automatically and therefore removes a human bias. The influence of parameters for the DCT and the length of the PT-BOMD simulations is investigated with regard to their impact on the result of the global optimization.