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Exploring the Physics Behind the Optical Spectra of Thin Films
The majority of optical or optoelectronic systems contain optical parts with surfaces and forms specifically
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Applied Technology Review | Thursday, August 18, 2022
The physics in thin film optical spectra are frequently necessary to alter the specular and transmission properties of mirror-like characteristics governed by the laws of reflection and refraction of these components
FREMONT, CA: The majority of optical or optoelectronic systems contain optical parts with surfaces and forms specifically created for the best interaction with light, including lenses, mirrors, gratings, detectors, and others. To improve the performance of optical systems, it is frequently necessary to alter the specular and transmission properties mirror-like characteristics, governed by the laws of reflection and refraction of these components. These properties are determined by the optical properties of the material and surrounding medium.
An optical component's transmission, reflection, or polarisation qualities can be improved via optical thin-film coatings. For instance, the surface of an uncoated glass component will reflect over four per cent of the incident light. Each air-glass interface's reflection can be brought down to less than 0.1 per cent with an anti-reflection coating. Mirror surfaces could have their reflectivity increased to over 99.99 per cent by applying a highly reflective dielectric coating. Typically, tiny layers of materials like oxides, metals, or rare earth elements are combined to form an optical coating.
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The number of individual layers–their thickness and doping, as well as the variations in the refractive indices of the layers–have an impact on how well a thin film optical coating performs. Due to interference effects, the desired improvement of the optical characteristics is achieved by varying the refractive indices of the layers and varying the thickness of the individual coating layers, which can range from a few nanometers to several hundred nanometers. Since the coating is typically on the component's exterior, a thin layer is frequently anticipated to serve additional purposes in addition to its primary one, such as reducing corrosion and boosting abrasion resistance.
The majority of thin-film optical coatings are made to improve an optical component's performance over a range of wavelengths, at a certain angle of incidence, and for a particular polarisation of light such as linear polarization, elliptical polarization, or random polarization. A coating's performance will be noticeably reduced or even lose its entire optical function if it is used in a spectral range, angle of incidence, or polarisation other than those for which it was intended.
By using a variety of chemical vapour deposition (CVD) or physical vapour deposition (PVD) processes, a planned sequence of materials is condensed onto the surface of the optical component to create thin-film optical coatings. Several PVD techniques, such as ion-assisted electron-beam evaporative deposition, ion beam sputtering, advanced plasma deposition, and plasma-assisted reactive magnetron sputtering, are frequently employed to apply optical coatings.
Anti-reflection coatings on various optical components are the simplest yet most common use of thin optical films. Researchers significantly reduced the amount of unwanted reflected light in optical equipment such as camera lenses, microscope objectives, binoculars, and spectacle lenses by investigating the physics of low refractive index coatings put over high refractive index optical material. Such anti-reflective coatings are quite beneficial for modern high refractive index plastic lenses since they lessen glare, especially when driving at night.
Magnesium fluoride thin films with a thickness of around a quarter wavelength are the foundation of anti-reflective coatings, which lower the reflectance of the coated component. Greater performance across the full visible spectrum is needed for more demanding applications, though 400 nm to 700 nm. The complexity of the coating's structure increases with the size of the needed spectrum for reflection reduction. To cover a considerably wider spectral range, several multilayer coatings made of layers of tantalum oxide, aluminium oxide, and magnesium fluoride have been created.
In reality, the current optical apparatus is frequently required to function throughout a much wider spectrum that ranges from UV to long wavelengths (IR). Different coating materials are needed for optical components and devices that function in numerous spectral areas, particularly at long wavelengths in the infrared spectrum, including communications equipment, satellite imagery cameras, ground-and space-based telescopes, and many more. For anti-reflective thin-film coatings suitable for the short wave IR and mid-wave IR regions wavelengths of 0.9-1.7 m and 3-5 m. Respectively, oxide compounds with low, medium, and high refractive indices, such as silicon oxide, aluminium oxide, and yttrium oxide, can be used. These compounds have excellent optical properties at wavelengths shorter than 7 m. The best performing coating material is a mixture of fluoride-based compounds, group IIB-VIA compounds (ZnS and ZnSe), and germanium.
Many pieces of large-aperture optical equipment, including astronomical observatories, high-power laser systems, and space-based optics working at IR wavelengths, now need the use of silver-based high-performance reflective coatings. Silver mirror performance and endurance have significantly increased thanks to multi-layer thin films that combine protective layers of silicon nitride, nickel-chromium nitride, and highly reflective silver film. Examples include the eight-meter primary mirrors of the telescopes at the Gemini Observatory in Hawaii, which are coated to work at their peak efficiency.
London : The 3rd edition of the London Climate Technology Show concluded last week, paving a vital roadmap towards fully decarbonising our planet through sustainable technologies. The event brought together policymakers, eco-technology leaders, industry professionals, and innovators, all unified in their call for an immediate shift to sustainable and green solutions to secure a better future for the planet.
The two-day event opened on 27th November with an inspiring keynote by Felicity Burch, Executive Director of the Responsible Technology Adoption Unit at the Department for Science, Innovation, and Technology (DSIT), who spoke about AI Innovation in Clean Energy and the DSIT's Manchester Prize . Following her, Ing. Abigail Cutajar, CEO of the Climate Action Authority, talked about Pioneering the Surge Towards Climate and Energy Transitions.
The conference unfolded over two dynamic days, featuring a packed agenda of insightful presentations and engaging panel discussions. It delved into actionable strategies for decarbonisation, advancements in AgriTech, the evolving carbon market, eco-funds, energy, CCS, built environment and other groundbreaking innovations in climate technology.
Notable discussions highlighted the need for farmers to balance carbon stewardship with food production over the next few decades, the importance of consistent government policies to enable businesses to plan and innovate effectively, and the urgency of addressing digital and engineering skill shortages to ensure a successful green energy transition. Industry experts also called for common sustainability metrics to measure corporate efforts fairly, emphasized the value of collaboration over competition to accelerate the green transition, and underscored the need for farmers to access landscape-level data to enhance biodiversity.
The exhibition hall featured groundbreaking innovations and solutions in sustainability and climate technology, including carbon capture and storage (CCS) from companies like CGI and Terra CO2 Technology, carbon management and accounting solutions by Greenly and Gaia Carbon Accounting, and emerging climate technologies from innovators such as Nabla Flow and Luna 9. Other exhibitors showcased AI-driven solutions, sustainable energy systems, and innovative carbon reduction technologies, presenting a comprehensive snapshot of the future of climate tech.
#CTS24 also hosted interactive side events, including startup acceleration programs and hands-on workshops, providing participants with opportunities for learning, networking, and collaboration. These sessions empowered attendees to adopt transformative technologies and take decisive climate action.
Attendee Experiences
The event received overwhelming positive feedback:
● Mark Haley , Co-founder of Cero3, shared, "We’re so proud to have unveiled our sustainable travel planner. The feedback and interest exceeded our expectations."
● Satyajit Mohanan , Projects and Business Development Coordinator at Cambridge Cleantech, remarked, "It was a pleasure to be part of this event. I met amazing people and look forward to the next edition."
● Dennis Chacko , Senior Sales Manager at the British Board of Agreement, shared his excitement over a unique sustainable pen: "Once used, you can plant it to grow something new—a powerful reminder of how everyday items can contribute to a greener future."
As this successful edition concludes, the organisers are already planning for a bigger, more impactful 4th Edition , with expanded content and greater opportunities to drive meaningful change toward a sustainable future.
...Read more
The increasing human population and demand for clothing are inevitable, but manufacturers must balance their efforts without overextending themselves. AI can help meet demand without exceeding supply, ensuring the sustainability of the planet's finite resources.
Apparel manufacturing uses AI in the following ways:
Enhancing the grading of materials: Although the human eye is a remarkable instrument, it is also fallible. Grading yarn and other base materials are one area where AI improves quality control (QC).
As a result of applying AI to this area, cost savings are realized, and the fundamental materials used in apparel manufacturing can be graded more precisely. Thus, AI can maintain a higher standard for materials than humans alone, thereby increasing the quality of finished garments.
Increasing the accuracy of final product inspections: A piece of fruit can even be discerned from its skin if it has been bruised through machine learning and computer vision.
Textiles and apparel manufacturing are equally inspiring applications. The condition and salability of newly made and previously worn garments can be assessed by algorithms coupled with specialty illumination systems. By measuring the amount of light that is transmitted and reflected, AI can determine whether a piece of fabric or a garment meets current quality standards at a glance.
The likelihood of Type I and Type II errors in a manufacturing setting was 17.8 percent and 29.8 percent, respectively. In the former case, inspectors miss real defects, while in the latter, false positives are made.
Apparel manufacturers can keep costs and errors down by using AI-powered automated inspection software. Identifying substandard yarn early in the manufacturing process can deliver value throughout the supply chain.
A tailor-made solution for the apparel industry: Artificial intelligence
Another area where AI can shine is sustainable and customized manufacturing. To facilitate cheaper and less resource-intensive custom clothing manufacturing, modern imaging techniques allow end-users to create 3D renderings of their bodies. ...Read more
Practical technology is catalyzing sector convergence, which entails the dissolution of conventional distinctions among diverse industries. This phenomenon fosters novel business paradigms, value constellations, and prospects, enabling organizations to harness technologies and proficiencies beyond their primary domain.
Key Technological Catalysts
Several transformative technologies are serving as the primary drivers of industry convergence, providing the infrastructure and capabilities that enable cross-sector collaboration and the creation of new value. The Internet of Things (IoT) connects physical assets to digital networks, generating vast streams of data that integrate physical and virtual operations. For example, smartwatches and fitness trackers, initially consumer electronics, now serve the healthcare sector by supporting remote patient monitoring and preventative care. Artificial Intelligence (AI) and Machine Learning (ML) build on this data by enabling advanced analytics, driving smarter decision-making, and delivering hyper-personalized services across various industries. Retailers utilize AI to predict consumer trends, optimize supply chains, and personalize shopping experiences. At the same time, financial institutions leverage it for fraud detection and algorithmic trading, thereby blurring the boundaries between technology and traditional banking. Blockchain adds another dimension by offering a secure, transparent framework for managing transactions and data across multiple parties, streamlining cross-sector collaboration in areas such as supply chain management by reducing reliance on intermediaries. The rollout of 5G connectivity provides the speed and low latency necessary to support these technologies at scale, enabling real-time communication between devices and seamless integration across various industries. Autonomous vehicles, for instance, depend on instantaneous connectivity with smart city infrastructure and other cars, exemplifying the convergence of automotive, telecommunications, and urban planning.
Impact on Business and Society
Sector convergence is profoundly altering conventional business paradigms. A single product or service no longer defines enterprises; instead, they are evolving into comprehensive ecosystems that deliver an array of integrated solutions. This evolution fosters novel opportunities for innovation, concurrently introducing complexities such as navigating intricate regulatory frameworks and managing data privacy across disparate sectors. From a consumer perspective, this convergence facilitates enhanced convenience, personalization, and seamless experiences; however, it also raises concerns regarding data security and market dominance. As the trajectory of applied technology continues its advancement, the demarcations between industries will inevitably diminish, thereby ushering in a future characterized by interconnected and integrated services.
Ultimately, applied technology transcends mere efficiency; it represents a fundamental force for change, reshaping the very structure of our economy. The future will be defined by ecosystems of integrated services, where companies succeed not by dominating a single sector, but by seamlessly connecting their offerings with others. This era of convergence promises unprecedented innovation and convenience for consumers. Yet, it also necessitates a proactive approach from businesses and policymakers to navigate the challenges of regulation, data privacy, and market power. Embracing this paradigm shift is crucial for companies seeking to develop in a world where the distinctions between sectors no longer exist. ...Read more
SCADA systems have long formed the backbone of industrial automation. They play a central role in many processes, from manufacturing to utility management, providing an overview and regulation. With the advancement of technology, the future looks set to change considerably for SCADA systems. Emerging trends redefine how SCADA works, further enhancing its capabilities and integrating it into the bigger context of industrial technology.
As it has evolved, SCADA has become integrated with the Internet of Things (IoT), generating massive data that leads to better decisions and process optimization. SCADA systems have begun integrating with IoT devices to provide more accurate and timely data across numerous inputs, improving operational efficiency and giving more profound insights into system performance.
It is revolutionizing the industry by adopting scalable, flexible, and cost-effective solutions that are much sought after by industrial requirements. These enable remote access to system data and controls, making management and troubleshooting easier. The shift towards the cloud has improved data storage and analysis capabilities for robust analytics and historical data review.
Cybersecurity is essential because SCADA systems are rapidly intertwining with other digital platforms. With increased cyber threats today, more security systems are needed to protect sensitive industrial information and ensure the system's integrity. Future SCADA systems will likely incorporate more complex cybersecurity features, including advanced encryptions, multi-factor authentication, and continuous monitoring against potential threats. Advanced security protocols would be crucial in protecting these systems from cyberattacks while ensuring the dependability of critical infrastructure.
AI and machine learning are also increasingly making headlines in the future of SCADA systems. AI algorithms can read vast volumes of data generated by SCADA systems to identify trends, predict when a piece of equipment needs to be serviced, and optimize all related processes. AI-powered predictive analytics can help prevent equipment failures, minimize time loss, and enhance system efficiency. Thus, AI in SCADA has marked a significant milestone in managing industrial processes more proactively, intelligently, and streamlined.
The trend toward edge computing impacts SCADA systems. Edge computing is a form of data processing closer to the source rather than being sent to the centralized cloud or data center. Since this reduces latency and improves response times, it also reduces the amount of data needing to be transmitted over networks. This can enhance SCADA's real-time monitoring and control, making management decisions more efficient. ...Read more