Parametric optimization of CVD process for DLC Thin film coatings: a comparative analysis

Kalita, Kanak; Ghadai, Ranjan Kumar; Chakraborty, Shankar

doi:10.1007/s12046-022-01842-1

Cited by 7 publications

(3 citation statements)

References 34 publications

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“…Metaheuristics find wide usage in almost all aspects of optimization problems. For example, metaheuristics have been used in design optimization [56][57][58][59], process optimization [60][61][62][63], structural optimization [64,65], knapsack problems [66,67], workflow scheduling [68], image segmentation [69][70][71], etc.…”

Section: Metaheuristic Algorithms For Movie Recommendation Systemsmentioning

confidence: 99%

Movie Recommender Systems: Concepts, Methods, Challenges, and Future Directions

Jayalakshmi

Ganesh

Čep

et al. 2022

Sensors

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Movie recommender systems are meant to give suggestions to the users based on the features they love the most. A highly performing movie recommendation will suggest movies that match the similarities with the highest degree of performance. This study conducts a systematic literature review on movie recommender systems. It highlights the filtering criteria in the recommender systems, algorithms implemented in movie recommender systems, the performance measurement criteria, the challenges in implementation, and recommendations for future research. Some of the most popular machine learning algorithms used in movie recommender systems such as K-means clustering, principal component analysis, and self-organizing maps with principal component analysis are discussed in detail. Special emphasis is given to research works performed using metaheuristic-based recommendation systems. The research aims to bring to light the advances made in developing the movie recommender systems, and what needs to be performed to reduce the current challenges in implementing the feasible solutions. The article will be helpful to researchers in the broad area of recommender systems as well as practicing data scientists involved in the implementation of such systems.

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Section: Metaheuristic Algorithms For Movie Recommendation Systemsmentioning

confidence: 99%

Movie Recommender Systems: Concepts, Methods, Challenges, and Future Directions

Jayalakshmi

Ganesh

Čep

et al. 2022

Sensors

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“…Therefore, depositing DLC films on silicon as hard protective layers can effectively enhance the surface properties of materials and prolong the service life of materials, as suggested by systematically studying the law of depositing DLC films on silicon. [26,27] This study aimed to explore the influence of different silicon substrates on the structure of DLC films by selecting different types of silicon substrates during the deposition of DLC films through PECVD. The chemical structure and microstructure of the films were investigated using spectroscopy and microscopy.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of Different Silicon Substrates on the Structure and Properties of Deposited Diamond‐like Carbon Films

Zhang

2023

Physica Status Solidi (a)

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Diamond‐like carbon (DLC) has attracted much attention due to its unique properties such as excellent physicochemical and biological properties. Herein, DLC coatings are deposited on four different silicon substrates using a radio frequency plasma‐assisted chemical vapor deposition (RF‐PECVD) technique. The structure and mechanical properties of DLC coatings deposited on different types of silicon substrates under different powers are compared. The surface morphology of the samples is characterized by scanning electron microscopy. The surface roughness of DLC films deposited on different silicon substrates is measured by scanning probe microscopy (SPM). The structural changes of the coatings are investigated by visible Raman spectroscopy. The analysis of DLC films deposited on different silicon substrates reveals that the structure of DLC films deposited on silicon is affected by different crystal directions of silicon substrates (different atomic densities in different crystal directions) and different conduction modes (electronic conduction and hole conduction). Regarding the DLC films deposited on the same substrate, the overall performance of P‐type silicon is better at 150 W, and the overall performance of N‐type silicon is better when the deposition power is 100 W.

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