日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Extrapolating Local Coupled Cluster Calculations toward CCSD(T)/CBS Binding Energies of Atmospheric Molecular Clusters

将局部耦合簇计算结果外推至大气分子簇的CCSD(T)/CBS结合能

Knattrup, Yosef; Elm, Jonas

Thermodynamics of Molecular Binding and Clustering in the Atmosphere Revealed through Conventional and ML-Enhanced Umbrella Sampling

通过传统和机器学习增强的伞形采样揭示大气中分子结合和聚集的热力学

Kubečka, Jakub; Knattrup, Yosef; Trolle, Georg Baadsgaard; Reischl, Bernhard; Lykke-Møller, August Smart; Elm, Jonas; Neefjes, Ivo

Reparameterization of GFN1-xTB for atmospheric molecular clusters: applications to multi-acid-multi-base systems

GFN1-xTB 的重新参数化以用于大气分子簇:在多酸多碱体系中的应用

Knattrup, Yosef; Kubečka, Jakub; Wu, Haide; Jensen, Frank; Elm, Jonas

Accurate modeling of the potential energy surface of atmospheric molecular clusters boosted by neural networks

利用神经网络对大气分子簇的势能面进行精确建模

Kubečka, Jakub; Ayoubi, Daniel; Tang, Zeyuan; Knattrup, Yosef; Engsvang, Morten; Wu, Haide; Elm, Jonas

Clusterome: A Comprehensive Data Set of Atmospheric Molecular Clusters for Machine Learning Applications

Clusterome:用于机器学习应用的大气分子簇综合数据集

Knattrup, Yosef; Kubečka, Jakub; Ayoubi, Daniel; Elm, Jonas

Clusteromics V: Organic Enhanced Atmospheric Cluster Formation

簇组学 V:有机物增强的大气簇形成

Ayoubi, Daniel; Knattrup, Yosef; Elm, Jonas

Improved Configurational Sampling Protocol for Large Atmospheric Molecular Clusters

改进的大气大分子簇构型采样方案

Wu, Haide; Engsvang, Morten; Knattrup, Yosef; Kubečka, Jakub; Elm, Jonas

Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning

用于处理分子簇的计算工具:构型采样、存储、分析和机器学习

Kubečka, Jakub; Besel, Vitus; Neefjes, Ivo; Knattrup, Yosef; Kurtén, Theo; Vehkamäki, Hanna; Elm, Jonas