相关实验视频

Updated: Sep 18, 2025

Scalable Syntheses of Graphene Oxide and Reduced Graphene Oxide using Cascade Design Oxidation and Highly Basic Reduction Reactions
08:57

Scalable Syntheses of Graphene Oxide and Reduced Graphene Oxide using Cascade Design Oxidation and Highly Basic Reduction Reactions

Published on: July 3, 2025

678

来自机器学习驱动模拟的石墨烯氧化物的机械性能

Zakariya El-Machachi1, Bowen Cheng1, Volker L Deringer1

  • 1Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QR, UK. volker.deringer@chem.ox.ac.uk.

Chemical communications (Cambridge, England)
|June 26, 2025
PubMed
概括

机器学习准确地预测了氧化石墨烯 (GO) 的机械性能. 这种方法为材料应变和断裂提供了原子学的洞察力,促进了对基于碳的材料的理解.

更多相关视频

Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding14:52

Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding

Published on: September 23, 2018

9.1K
Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities11:42

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Published on: July 24, 2015

15.6K

相关概念视频

Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
14.6K