Computational visualization of semi-transparent metallic thin films with roughness
We model the visual appearance of thin, semi-transparent metallic films coated on arbitrary three-dimensional substrates, incorporating effects including nanoscale film roughness, microscale substrate roughness, and source of light. Film reflectance is modeled by combining electrodynamic simulations...
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Veröffentlicht in: | Applied optics (2004) 2023-06, Vol.62 (18), p.4913-4920 |
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creator | Loi, Wei Sen Chau, Kenneth J. |
description | We model the visual appearance of thin, semi-transparent metallic films coated on arbitrary three-dimensional substrates, incorporating effects including nanoscale film roughness, microscale substrate roughness, and source of light. Film reflectance is modeled by combining electrodynamic simulations with the Schlick approximation, which is adapted and validated to describe the color appearance of thin semi-transparent metallic films with nanoscale, subwavelength roughness. Diffuse scattering originating from microscale roughness of the substrate and partial reflectance is described by a microfacet model. Photorealistic rendered images generated by our approach are qualitatively compared to photographs of fabricated thin-film samples under similar lighting conditions. We render images of semi-transparent metallic films as a function of film thickness, multilayer composition, substrate type, nanoscale film roughness, microscale substrate roughness, and environmental lighting, yielding physically plausible results consistent with previously reported observations. |
doi_str_mv | 10.1364/AO.488480 |
format | Article |
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Film reflectance is modeled by combining electrodynamic simulations with the Schlick approximation, which is adapted and validated to describe the color appearance of thin semi-transparent metallic films with nanoscale, subwavelength roughness. Diffuse scattering originating from microscale roughness of the substrate and partial reflectance is described by a microfacet model. Photorealistic rendered images generated by our approach are qualitatively compared to photographs of fabricated thin-film samples under similar lighting conditions. 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We render images of semi-transparent metallic films as a function of film thickness, multilayer composition, substrate type, nanoscale film roughness, microscale substrate roughness, and environmental lighting, yielding physically plausible results consistent with previously reported observations.</description><subject>Film thickness</subject><subject>Lighting</subject><subject>Multilayers</subject><subject>Reflectance</subject><subject>Roughness</subject><subject>Substrates</subject><subject>Thin films</subject><issn>1559-128X</issn><issn>2155-3165</issn><issn>1539-4522</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpd0MtKxDAUBuAgCo6jC98g4EYXHXNt0-UweIOBAVFwV9JcnAxpU5NU0ae3Oq5cnXPg44fzA3CO0QLTkl0vNwsmBBPoAMwI5ryguOSHYDatdYGJeDkGJyntEKKc1dUMPK5CN4xZZhd66eG7S6P07uv3hsHCZDpX5Cj7NMho-gw7k6X3TsG8dT20zncJfri8hTGMr9vepHQKjqz0yZz9zTl4vr15Wt0X683dw2q5LhQRPBc1t1Rr1vJKE8I1J9q2FmnEFTNYYyUU4SWmjDFBSyMlti3CpRQlb5kwFtM5uNznDjG8jSblpnNJGe9lb8KYGiJKJmouajTRi390F8Y4PfyjSFULRnA1qau9UjGkFI1thug6GT8bjJqfdpvlptm3S78B5sxtPw</recordid><startdate>20230620</startdate><enddate>20230620</enddate><creator>Loi, Wei Sen</creator><creator>Chau, Kenneth J.</creator><general>Optical Society of America</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3995-2052</orcidid></search><sort><creationdate>20230620</creationdate><title>Computational visualization of semi-transparent metallic thin films with roughness</title><author>Loi, Wei Sen ; Chau, Kenneth J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c285t-95f3dd4b57d225d52dfbf0d05c4e1d1c8c25613444836eaa1fb016a865b48ef13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Film thickness</topic><topic>Lighting</topic><topic>Multilayers</topic><topic>Reflectance</topic><topic>Roughness</topic><topic>Substrates</topic><topic>Thin films</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Loi, Wei Sen</creatorcontrib><creatorcontrib>Chau, Kenneth J.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Applied optics (2004)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Loi, Wei Sen</au><au>Chau, Kenneth J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational visualization of semi-transparent metallic thin films with roughness</atitle><jtitle>Applied optics (2004)</jtitle><date>2023-06-20</date><risdate>2023</risdate><volume>62</volume><issue>18</issue><spage>4913</spage><epage>4920</epage><pages>4913-4920</pages><issn>1559-128X</issn><eissn>2155-3165</eissn><eissn>1539-4522</eissn><abstract>We model the visual appearance of thin, semi-transparent metallic films coated on arbitrary three-dimensional substrates, incorporating effects including nanoscale film roughness, microscale substrate roughness, and source of light. Film reflectance is modeled by combining electrodynamic simulations with the Schlick approximation, which is adapted and validated to describe the color appearance of thin semi-transparent metallic films with nanoscale, subwavelength roughness. Diffuse scattering originating from microscale roughness of the substrate and partial reflectance is described by a microfacet model. Photorealistic rendered images generated by our approach are qualitatively compared to photographs of fabricated thin-film samples under similar lighting conditions. 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subjects | Film thickness Lighting Multilayers Reflectance Roughness Substrates Thin films |
title | Computational visualization of semi-transparent metallic thin films with roughness |
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