Atomic and electronic structure of tetrahedral amorphous carbon surfaces from density functional theory: Properties and simulation strategies-Reference-Cited by-同舟云学术

Atomic and electronic structure of tetrahedral amorphous carbon surfaces from density functional theory: Properties and simulation strategies

Published:2014-10 Issue: Volume:77 Page:1168-1182
ISSN:0008-6223
Container-title:Carbon
language:en
Short-container-title:Carbon

Author:

Caro Miguel A.,Zoubkoff Rémi,Lopez-Acevedo Olga,Laurila Tomi

Funder

Aalto University

Finnish CSC – IT Center for Science

Finnish National Agency for Technology and Innovation

Academy of Finland

Publisher

Elsevier BV

Subject

General Chemistry,General Materials Science

Reference47 articles.

1. Diamond-like amorphous carbon

2. Ion and electron irradiation-induced effects in nanostructured materials

3. Kaivosoja E, Berg E, Rautiainen A, Palomäki T, Koskinen J, Paulasto-Kröckel M, et al. In: Engineering in Medicine and Biology Society (EMBC) 2013, 35th annual international conference of the IEEE; 2013. p. 632.

4. Empirical Interatomic Potential for Carbon, with Applications to Amorphous Carbon

5. Electronic and atomic structure of amorphous carbon

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Engineering a Hierarchy of Disorder: A New Route to Synthesize High‐Performance 3D Nanoporous All‐Carbon Materials**;Advanced Materials;2024-06-04

2. Experiment-Driven Atomistic Materials Modeling: A Case Study Combining X-Ray Photoelectron Spectroscopy and Machine Learning Potentials to Infer the Structure of Oxygen-Rich Amorphous Carbon;Journal of the American Chemical Society;2024-05-15

3. Ab initio structural dynamics of pure and nitrogen-containing amorphous carbon;Scientific Reports;2023-11-11

4. Machine learning based modeling of disordered elemental semiconductors: understanding the atomic structure of a-Si and a-C;Semiconductor Science and Technology;2023-03-06

5. Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW;Chemistry of Materials;2022-07-13