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

Correction to "Noncovalent Interactions in Density Functional Theory: All the Charge Density We Do Not See"

对“密度泛函理论中的非共价相互作用:我们看不到的所有电荷密度”一文的更正

Khabibrakhmanov, Almaz; Gori, Matteo; Müller, Carolin; Tkatchenko, Alexandre

Accurate density functional theory for noncovalent interactions in charged systems

带电体系中非共价相互作用的精确密度泛函理论

Zhao, Heng; Lőrincz, Balázs D; Henkes, Tobias; Berta, Dénes; Nagy, Péter R; Tkatchenko, Alexandre; Vuckovic, Stefan

Assessing the performance of quantum-mechanical descriptors in physicochemical and biological property prediction

评估量子力学描述符在物理化学和生物学性质预测中的性能

Hinostroza Caldas, Alejandra; Kokorin, Artem; Tkatchenko, Alexandre; Medrano Sandonas, Leonardo

Non-local interactions determine local structure and lithium diffusion in solid electrolytes

非局部相互作用决定固体电解质中的局部结构和锂扩散。

Banerjee, Swastika; Tkatchenko, Alexandre

Extending quantum-mechanical benchmark accuracy to biological ligand-pocket interactions

将量子力学基准精度扩展到生物配体口袋相互作用

Puleva, Mirela; Medrano Sandonas, Leonardo; Lőrincz, Balázs D; Charry, Jorge; Rogers, David M; Nagy, Péter R; Tkatchenko, Alexandre

Noncovalent Interactions in Density Functional Theory: All the Charge Density We Do Not See

密度泛函理论中的非共价相互作用:我们看不见的电荷密度

Khabibrakhmanov, Almaz; Gori, Matteo; Müller, Carolin; Tkatchenko, Alexandre

Molecular Simulations with a Pretrained Neural Network and Universal Pairwise Force Fields

利用预训练神经网络和通用成对力场进行分子模拟

Kabylda, Adil; Frank, J Thorben; Suárez-Dou, Sergio; Khabibrakhmanov, Almaz; Medrano Sandonas, Leonardo; Unke, Oliver T; Chmiela, Stefan; Müller, Klaus-Robert; Tkatchenko, Alexandre

Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023

碰撞测试机器学习力场在分子、材料和界面中的应用:TEA 2023挑战赛中的分子动力学

Poltavsky, Igor; Puleva, Mirela; Charkin-Gorbulin, Anton; Fonseca, Grégory; Batatia, Ilyes; Browning, Nicholas J; Chmiela, Stefan; Cui, Mengnan; Frank, J Thorben; Heinen, Stefan; Huang, Bing; Käser, Silvan; Kabylda, Adil; Khan, Danish; Müller, Carolin; Price, Alastair J A; Riedmiller, Kai; Töpfer, Kai; Ko, Tsz Wai; Meuwly, Markus; Rupp, Matthias; Csányi, Gábor; Anatole von Lilienfeld, O; Margraf, Johannes T; Müller, Klaus-Robert; Tkatchenko, Alexandre

Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023

分子、材料和界面的碰撞测试机器学习力场:TEA Challenge 2023 中的模型分析

Poltavsky, Igor; Charkin-Gorbulin, Anton; Puleva, Mirela; Fonseca, Grégory; Batatia, Ilyes; Browning, Nicholas J; Chmiela, Stefan; Cui, Mengnan; Frank, J Thorben; Heinen, Stefan; Huang, Bing; Käser, Silvan; Kabylda, Adil; Khan, Danish; Müller, Carolin; Price, Alastair J A; Riedmiller, Kai; Töpfer, Kai; Ko, Tsz Wai; Meuwly, Markus; Rupp, Matthias; Csányi, Gábor; von Lilienfeld, O Anatole; Margraf, Johannes T; Müller, Klaus-Robert; Tkatchenko, Alexandre

Analyzing Atomic Interactions in Molecules as Learned by Neural Networks

利用神经网络学习分析分子中的原子相互作用

Esders, Malte; Schnake, Thomas; Lederer, Jonas; Kabylda, Adil; Montavon, Grégoire; Tkatchenko, Alexandre; Müller, Klaus-Robert