恒温器
纳米晶
切断
计算
统计物理学
理论(学习稳定性)
噪音(视频)
趋同(经济学)
能量(信号处理)
物理
计算机科学
材料科学
计算物理学
纳米技术
算法
量子力学
热力学
机器学习
人工智能
经济增长
经济
图像(数学)
作者
Alex Upah,Andrew Thomas,Jonas Hallstrom,Alex Travesset
标识
DOI:10.1021/acs.jctc.3c00749
摘要
Thermodynamic stability assessment of nanocrystal systems requires precise free energy calculations. This study highlights the importance of meticulous control over various factors, including the thermostat, time step, potential cutoff, initial configuration, sampling method, and overall simulation duration. Free energy computations in dry (solvent-free) systems are on the order of several hundred kBT but can be obtained with consistent accuracy. However, calculation of internal energies becomes challenging, as they are typically much larger in magnitude than free energies and exhibit significant noise and reduced reliability. To address this limitation, we propose a new internal energy estimate that drastically reduces the noise. We also present formulas that enable the optimization of the parameters of the harmonic bias potential for optimal convergence. Finally, we discuss the implications of these findings for the computation of free energies in nanocrystal clusters and superlattices.
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