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Anticipate coating behavior before application

Virtual Coater is an advanced predictive simulation software developed by ICS that allows you to accurately anticipate the behavior of PVD coatings. By simulating your coater with high precision, the software provides a complete view of the deposition process, enabling you to fine-tune parameters and enhance your equipment’s performance.

Beyond predicting deposition distribution, Virtual Coater also forecasts final coating properties such as porosity, roughness, optical and colorimetric features, as well as thermal, electrical, and elastic characteristics.

By identifying the most efficient configurations before physical testing, Virtual Coater helps avoid deposition errors, reduce material waste, and accelerate industrial process validation.

The advantages of Virtual Coater



Production optimization


Complete coating process simulation


Customized user training

Reduce physical testing and optimize your production

With Virtual Coater, you can accurately simulate coating behavior, eliminating the need for lengthy and costly trial-and-error adjustments.

This approach drastically reduces material waste, limits coating defects, and helps optimize production time.

 

A complete simulation of the coating process

Virtual Coater offers a detailed visualization of the entire deposition process — from material selection to final application.

By virtually testing various parameters and scenarios, users can adjust settings in advance, ensuring optimal results right from the start of production.

Personalized training for effective onboarding

We offer tailored in-person training (2 to 3 days), adapted to your team’s specific needs, to help you fully leverage the power of Virtual Coater.

This hands-on support ensures users master the simulation tools, optimize their setup, and successfully integrate the software into industrial processes for efficient and sustainable use.

downloadables

This is the manual

 Modeling and Experimental Investigations of Nanostructured Ag Thin Films Produced by Oblique-Angle Deposition and Its SERS Performance, Coatings 2021, 11, 458. 
https://www.mdpi.com/2079-6412/11/4/458

 The importance of discharge voltage in DC magnetron sputtering for energy of sputtered and backscattered atoms on the substrate: Monte-Carlo simulations, Vacuum, Available online 1 November 2021. 
https://doi.org/10.1016/j.vacuum.2021.110716

 Link between plasma properties with morphological, structural and mechanical properties of thin Ti films deposited by high power impulse magnetron sputtering, Surface and Coatings Technology, 418, (2021) 127235. 
https://doi.org/10.1016/j.surfcoat.2021.127235

 Exploring the effect on the columnar structure and porosity of the synthesized Be films by oblique angle deposition in magnetron sputtering, Physica B 590 (2020) 412221. 
https://doi.org/10.1016/j.physb.2020.412221

 Efecto de la rotación del sustrato sobre los exponentes de escalamiento de la rugosidad en películas crecidas mediante la técnica GLAD, Sebastián Camilo Mendoza Rincón, PhD thesis, Universidad Nacional de Colombia Sede Manizales, 2020. 
https://repositorio.unal.edu.co/handle/unal/78027

 Recent Advances in the Development of Nano-Sculpted Films by Magnetron Sputtering for Energy-Related Applications, A. Panepinto, R. Snyders, Nanomaterials 2020, 10(10), 2039. 
https://www.mdpi.com/2079-4991/10/10/2039

 Study on the area ratio of Nb–Sn target for the preparation of Nb₃Sn films, Shuang-Kai Chen, Yu-Chen Yang & Di-Zhou Guo, Radiation Detection Technology and Methods volume 3, 54 (2019). 
https://doi.org/10.1007/s41605-019-0134-y

 Theoretical and Experimental Investigation of Optical Properties of ZnS Zig-Zag Thin Films, M. Minbashi, R. Zarei Moghadam, M. H. Ehsani, H. R. Dizaji and M. K. Omrani, Iranian Journal of Materials Science & Engineering Vol. 16, No. 3, September 2019. 
https://dx.doi.org/10.22068/ijmse.16.3.67

 Experimental and Modeling Study of the Fabrication of Mg Nano-Sculpted Films by Magnetron Sputtering Combined with Glancing Angle Deposition, Liang, X. Geng, W. Li, A. Panepinto, D. Thiry, M. Chen, R. Snyders, Coatings 2019, 9(6), 361. 
https://doi.org/10.3390/coatings9060361 

 Experiments and modelling for glow discharge plasmas applied to niobium sputter deposition in superconducting radiofrequency cavities, T. Richard, PhD thesis, CERN, 2019. 
https://cds.cern.ch/record/2682123

 Growth simulation oblique layers of cadmium telluride and zinc sulfide and comparison with experimental results, Reza Zarei Moghadam, Journal of Research on Many-body Systems 7 (2017) 9-16. 
https://dx.doi.org/10.22055/jrmbs.2017.19682.1231

 Synthesis of nanostructured Ti thin films by combining glancing angle deposition and magnetron sputtering: A joint experimental and modeling study, J. Dervaux, P.-A. Cormier, P. Moskovkin, O. Douheret, S. Konstantinidis, R. Lazzaroni, S. Lucas, R. Snyders, Thin Solid Films, 636 (2017) 644-657. 
https://doi.org/10.1016/j.tsf.2017.06.006

 Dynamic Atomic Scale Sintering of Nanoparticle Catalysts, Thomas Edward Martin, PhD thesis, University of York, 2015. 
https://etheses.whiterose.ac.uk/id/eprint/9636/

 Morphology control of zinc regeneration for zinc-air fuel cell and battery, Keliang Wang, Pucheng Pei, Ze Ma, Huachi Xu, Pengcheng Li, Xizhong Wang, Journal of Power Sources, 271 (2014) 65-75. 
https://doi.org/10.1016/j.jpowsour.2014.07.182

 Computer simulations of the early-stage growth of Ge clusters at elevated temperatures on patterned Si substrate using the kinetic Monte Carlo method, P. Moskovkin, S. Lucas, Thin Solid Films, 536 (2013) 313-317. 
https://doi.org/10.1016/j.tsf.2013.03.031

 Simulation at high temperature of atomic deposition, islands coalescence, Ostwald and inverse Ostwald ripening with a general simple kinetic Monte Carlo code, S. Lucas, P. Moskovkin, Thin Solid Films, 518 (2010), 5355-5361. 
https://doi.org/10.1016/j.tsf.2010.04.064

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