Artificial Neural Networks for Diamond Like Carbon deposition: process modelling and prediction of optimal conditions

AMATO, Filippo, Vilma BURŠÍKOVÁ, Jan JANČA, Peña-Méndez ELADIA MARIA and Josef HAVEL. Artificial Neural Networks for Diamond Like Carbon deposition: process modelling and prediction of optimal conditions. In PASNPG 2011. 2011.

Basic information

• Original name: Artificial Neural Networks for Diamond Like Carbon deposition: process modelling and prediction of optimal conditions
• Authors: AMATO, Filippo (380 Italy), Vilma BURŠÍKOVÁ (724 Spain, belonging to the institution), Jan JANČA (203 Czech Republic, belonging to the institution), Peña-Méndez ELADIA MARIA (724 Spain) and Josef HAVEL (203 Czech Republic, guarantor, belonging to the institution).
• Edition: PASNPG 2011, 2011.

Other information

• Original language: English
• Type of outcome: Presentations at conferences
• Field of Study: 10406 Analytical chemistry
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• RIV identification code: RIV/00216224:14310/11:00059298
• Organization unit: Faculty of Science
• Keywords in English: diamond like carbon nanolayers; plasma deposition; artificial neural networks
• Tags: International impact, Reviewed

Abstract

Artificial Neural Networks (ANNs) allow to model complicated processes such as the deposition of diamond-like carbon (DLC) nano-layers, without a priori knowledge of the physics and chemistry involved. Moreover, it is possible to predict the experimental conditions in order to obtain nano-layers with required properties.

Links

• MSM0021622411, plan (intention): Name: Studium a aplikace plazmochemických reakcí v neizotermickém nízkoteplotním plazmatu a jeho interakcí s povrchem pevných látek

Investor: Ministry of Education, Youth and Sports of the CR, Study and application of plasma chemical reactions in non-isothermic low temperature plasma and its interaction with solid surface