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Petawatt-class High-Energy Laser Coatings
The ability of lasers to deliver ever-higher energy to a target–to attain electric-field strengths greater than those binding electrons
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Applied Technology Review | Sunday, October 02, 2022
Coating prevents or avoids such damage to laser systems’ optical materials and coatings and at the same time, delivers higher energies to better transform a target into a high-energy-density plasma quickly emerged as a competing factor in the development of high-energy lasers.
FREMONT, CA: The ability of lasers to deliver ever-higher energy to a target–to attain electric-field strengths greater than those binding electrons and nuclei–was one of the main directions of growth that emerged very shortly following the invention of lasers in the 1960s. In the focal volume of the laser, it was intended to conduct controlled research on high-energy-density plasmas. Such plasmas might be created and investigated using this method without the use of unrestrained above-ground or underground nuclear explosions. The Z-Backlighter petawatt laser's 75-cm forward-optical assembly steering mirror, immediately following the coating run for its laser-damage-resistant optical coating made up of HfO2/SiO2 layer pairs.
Ironically, these efforts swiftly came to an end because optics and optical coatings required to direct and concentrate high-energy laser beams on a target were being damaged by lasers. The need for higher energies to more effectively convert a target into a high-energy-density plasma while also minimising or avoiding damage to optical materials and laser system coatings has quickly emerged as a competing force in the development of high-energy lasers. Since then, high-energy laser research and applications have always included the tension between those two elements.
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It is a tension that is both frustrating and exhilarating—annoying when inadequate energy reaches a target or when high-intensity laser radiation in a beam train damages an optic, and exciting when everything functions without such harm. It examines how the field of optical coatings with a high laser-induced damage threshold (LIDT) has developed to support the creation of laser systems that are pushing the boundaries of high-energy physics—and even the potential realisation of inertial confinement fusion (ICF) as a potentially significant energy source.
Due to their little optical absorption, very transparent optical coating layer materials display the highest LIDTs. The best of these materials are metal oxides, which have great transparency due to their wide band gaps. However, a more thorough understanding necessitates a quick review of the ways that lasers can harm optical components and coatings.
Extrinsic and intrinsic forms of damage mechanisms caused by lasers can be distinguished. Each type uses a different method and a different time scale to convert optical light into a coating on the substrate's molecular structure. This results in either catastrophic structural damage or a structural change like a melt, scald, or blister. If the area is exposed to more laser pulses, the damage may or may not continue to spread. However, all damage is irreversible and just serves to further scatter or absorb laser energy. Additionally, the optical performance requirements of the system in a specific high-energy laser application determine the density and severity of damage sites that can be tolerated before an optic in a beam train needs to be replaced.
Extrinsic damage occurs when an otherwise high-LIDT material experiences optical absorption by opaque nanoscale and microscale imperfections, such as impurities, particles, or microstructural faults. These defects—which are common and difficult to prevent or eliminate in optical coating and processing environments—include microstructural flaws within layers or at their interfaces; subsurface microfractures; substrate surface scratches or digs; contamination by trace levels of polishing compounds; and particulates present as a result of improperly enforced cleanroom and optics-handling and cleaning protocols.
Extrinsic damage happens when optical energy that is absorbed in such defect sites combines into phonon excitations through heat-transfer mechanisms, which ultimately results in the irreversible change or catastrophic destruction of the material's structure. Long nanoseconds and longer laser pulse durations are necessary for the optical absorption and heat transfer processes to take place. LIDT of an optical coating must be optimised by reducing extrinsic flaws.
Intense laser electric fields are directly coupled with the molecular electronic structure of the optical coating causing intrinsic damage, which releases free electrons by multiphoton ionisation or excitations into electronic conduction bands. Collisions between the free electrons and the atoms in the material structure can convert the energy into heat and phonon excitations. The material is later damaged in bulk as a result of heat-transfer operations.
In the context of laser-induced damage, relevant pulse lengths sub-picosecond to femtosecond are characterised as short pulses because photon-electron interaction timescales about 10-13 s to 10-15 s correspond to those of electronic mobility and transitions in molecules. However, ensuing heat-transfer processes that result in bulk damage take place on nanosecond and longer time scales, just like with extrinsic damage. It has long been known that an optic suffers laser-induced damage as soon as its coated surface is exposed to even 1J of laser energy across a 1 cm2 area.
Intrinsic damage is largely dependent on molecular-level electrical structural flaws that interact significantly with high-energy laser electric fields. These flaws are also commonplace, such as metal impurities that easily provide free electrons to conduction bands or intraband electronic states of high-band-gap coating molecules linked to impurities or molecular gaps that can develop during coating deposition. However, because the multiphoton excitations of intrinsic damage may cross the wide electronic band gaps of transparent materials, they also pose a threat to defect-free regions of very transparent thin-film materials.
Nevertheless, high-transparency coatings' defect sites are more likely than their defect-free counterparts to produce free electrons as a result of photon-electron interactions. Therefore, using ultra-high-purity coating-layer materials is necessary to reduce intrinsic damage, particularly concerning iron and other metallic conductive impurities. Additionally, for the production of stoichiometrically accurate layers with fewer intra-band-defect electronic states for metal-oxide thin-film layers, appropriate oxygen enrichment in reactive coating deposition is crucial.
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