Computational Surface Chemistry of Tetrahedral Amorphous Carbon by Combining Machine Learning and DFT

Chemistry of Materials - United States
doi 10.1021/acs.chemmater.8b02410
Full Text
Abstract

Available in full text

Date
Authors
Publisher

American Chemical Society (ACS)

Related search

Electron Field Emission Properties of Tetrahedral Amorphous Carbon Films

Journal of Applied Physics
AstronomyPhysics
1999English

Micro-Raman Spectroscopic Analysis of Tetrahedral Amorphous Carbon Films Deposited Under Varying Conditions

Journal of Applied Physics
AstronomyPhysics
1999English

Word Translation by Combining an Example-Based Method and Machine Learning Models.

Journal of Natural Language Processing
2003English

Combining Linguistic and Machine Learning Techniques for Email Summarization

2001English

The Effect of Chemistry Learning With PjBL and PBL Model Based on Tetrahedral Chemistry Representation in Term of Student’s Creativity

JKPK (Jurnal Kimia dan Pendidikan Kimia)
2018English

Ultralow Friction of a Tetrahedral Amorphous Carbon Film Lubricated With an Environmentally Friendly Ester-Based Oil

Tribology Online
SurfacesFilmsCoatings
2016English

Machine Learning Methods in the Computational Biology of Cancer

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
MathematicsEngineeringAstronomyPhysics
2015English

ML4Chem: A Machine Learning Package for Chemistry and Materials Science

2020English

Computational Materials Synthesis. III. Synthesis of Hydrogenated Amorphous Carbon From Molecular Precursors

Physical Review B
1996English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy