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

Bridging classical and quantum interpretation of chemical state analysis by XPS/HAXPES to resolve short-range order in amorphous alumina films

利用XPS/HAXPES技术,将经典和量子化学状态分析方法相结合,以解析非晶氧化铝薄膜中的短程有序结构。

Gramatte, Simon; Wang, Xing; Hernández Bertrán, Michael Alejandro; Cancellieri, Claudia; Pizzi, Giovanni; Prezzi, Deborah; Timrov, Iurii; Politano, Olivier; Utke, Ivo; Jeurgens, Lars P H; Turlo, Vladyslav

Getting the Manifold Right: The Crucial Role of Orbital Resolution in DFT+U for Mixed d-f Electron Compounds

正确处理流形:轨道分辨率在DFT+U方法中对混合df电子化合物的关键作用

Warda, Kinga; Macke, Eric; Timrov, Iurii; Colombi Ciacchi, Lucio; Kowalski, Piotr M

Making atomistic materials calculations accessible with the AiiDAlab Quantum ESPRESSO app

借助 AiiDAlab Quantum ESPRESSO 应用程序,原子材料计算变得触手可及。

Wang, Xing; Bainglass, Edan; Bonacci, Miki; Ortega-Guerrero, Andres; Bastonero, Lorenzo; Bercx, Marnik; Bonfà, Pietro; De Renzi, Roberto; Du, Dou; Gillespie, Peter N O; Hernández-Bertrán, Michael A; Hollas, Daniel; Huber, Sebastiaan P; Molinari, Elisa; Onuorah, Ifeanyi J; Paulish, Nataliya; Prezzi, Deborah; Qiao, Junfeng; Reents, Timo; Sewell, Christopher J; Timrov, Iurii; Yakutovich, Aliaksandr V; Yu, Jusong; Marzari, Nicola; Pignedoli, Carlo A; Pizzi, Giovanni

Magnons from time-dependent density-functional perturbation theory and nonempirical Hubbard functionals

基于时变密度泛函微扰理论和非经验哈伯德泛函的磁振子

Binci, Luca; Marzari, Nicola; Timrov, Iurii

Machine learning Hubbard parameters with equivariant neural networks

利用等变神经网络进行机器学习 Hubbard 参数分析

Uhrin, Martin; Zadoks, Austin; Binci, Luca; Marzari, Nicola; Timrov, Iurii

First-principles Hubbard parameters with automated and reproducible workflows

基于第一性原理的哈伯德参数及其自动化和可复现的工作流程

Bastonero, Lorenzo; Malica, Cristiano; Macke, Eric; Bercx, Marnik; Huber, Sebastiaan; Timrov, Iurii; Marzari, Nicola

Orbital-Resolved DFT+U for Molecules and Solids

分子和固体的轨道分辨DFT+U

Macke, Eric; Timrov, Iurii; Marzari, Nicola; Ciacchi, Lucio Colombi