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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.
The development of haptic feedback technology, which provides users with a simulated feeling of touch, heralds the beginning of a new revolution in user interaction. It has been used by every industry, particularly in relation to the transformation of human contact in comparison to robots and virtual surroundings. By using various frequencies or pressures, they replicate touch sensations while transferring mechanical forces, vibrations, or motions to the skin.
Advanced haptic systems also integrate sensors that detect user interactions, such as pressure or movement, to provide real-time feedback and create a more immersive experience. Smartphones and tablets use haptic feedback to enhance user interfaces, offering tactile responses for on-screen buttons, notifications, and typing. It improves usability and accessibility, especially for visually impaired users who rely on touch-based cues. Gaming controllers with haptic motors deliver precise vibrations to simulate in-game actions like explosions, vehicle movements, or weapon recoil, immersing players in the virtual world.
Haptic technology plays a pivotal role in creating lifelike simulations. Haptic gloves, suits, and controllers allow users to feel virtual objects, textures, and forces, enhancing the realism of VR experiences. For example, a user in a VR environment can feel the weight of a virtual object or the texture of a surface, making training simulations, gaming, and design more intuitive and engaging. It has vast implications for industries like healthcare, where VR simulations with haptic feedback train surgeons by replicating the sensation of operating on human tissue. The most prominent application of haptic technology is in consumer electronics.
The automotive industry is another sector leveraging haptic technology to improve safety and user experience. Touchscreen interfaces in modern vehicles use haptic feedback to provide tactile responses, allowing drivers to interact with controls without diverting their attention from the road. Advanced driver-assistance systems (ADAS) utilize haptic alerts, such as steering wheel or seat vibrations, to warn drivers of potential collisions or lane departures. Haptic technology is also making strides in prosthetics and assistive devices.
Advanced prosthetic limbs equipped with haptic sensors and actuators enable amputees to regain a sense of touch, allowing them to perceive pressure, temperature, and texture. It improves their ability to perform daily tasks and enhances their overall quality of life. While the benefits of haptic technology are vast, it also presents challenges. Developing precise and realistic haptic feedback systems requires advanced engineering, significant computational power, and energy-efficient components. ...Read more
Integrating IoT, blockchain technology, and deep learning models has revolutionized smart home automation, offering enhanced security, efficiency, and autonomy. IoT connects devices and appliances, generating vast data to optimize energy usage, improve security, and streamline daily routines. This integration promises a new era in managing household devices and systems.
Security vulnerabilities have become a significant concern with the proliferation of IoT devices. By leveraging blockchain's decentralized and immutable ledger, smart home systems can ensure the integrity and security of data exchanges between devices. Each transaction or data transfer is recorded tamper-proof across multiple nodes, eradicating the risk of a single point of failure or unauthorized access. Blockchain facilitates secure peer-to-peer transactions and automated smart contracts. Devices can autonomously interact and transact based on predefined conditions without intermediaries. Combining IoT connectivity, blockchain security, and deep learning intelligence can enhance homeowners' convenience, efficiency, and peace of mind.
A smart thermostat could adjust the temperature based on real-time weather data retrieved from decentralized sources, all executed through smart contracts recorded on the blockchain. Deep learning models further enhance the capabilities of IoT-based smart home automation by enabling predictive analytics and personalized experiences. These models can analyze historical data from IoT devices to identify patterns, preferences, and anomalies. A deep learning algorithm could learn the occupants' daily routines and adjust lighting, temperature, and other settings to optimize comfort and energy efficiency.
Deep learning-powered anomaly detection algorithms can identify unusual behavior patterns indicative of security breaches or malfunctions. For instance, if a security camera detects unusual movements while the occupants are away, the system can trigger alerts and take appropriate actions, such as notifying the homeowners or activating additional security measures. The critical challenge in implementing IoT-based smart home automation with blockchain and deep learning is interoperability and standardization. With various devices from different manufacturers operating on multiple protocols, ensuring seamless integration and compatibility can be complex.
Initiatives such as developing open-source protocols and industry standards aim to address these challenges and foster a more cohesive ecosystem. Privacy and data ownership are critical considerations when deploying smart home systems. With sensitive data being generated and exchanged among devices, ensuring user consent, data encryption, and transparent data handling practices are paramount. Blockchain-based identity management solutions can give users control over their data, allowing them to specify who can access it and under what conditions. Integrating IoT, blockchain, and deep learning models holds immense potential for revolutionizing smart home automation. ...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
Haptic solutions enable tactile feedback through technology and transform user experiences across industries like VR, healthcare, and consumer electronics. These devices mimic real-world touch sensations, creating immersive, intuitive interfaces. The demand for enhanced interactivity and related technologies is driving the development of advanced haptic solutions, such as gloves, vests, and controllers, which provide a more realistic experience.
The trend is particularly impactful in industries like education, where haptics in VR simulations can replicate hands-on experiences, such as medical procedures or mechanical repairs, without real-world risks. The miniaturization of haptic technology is another emerging trend. The advancement enhances user convenience and broadens the scope of applications. For example, haptic feedback in smartwatches can deliver discrete notifications or guide users during fitness activities. Mobile gaming is leveraging haptic enhancements to provide players with tactile cues, enriching gameplay without adding bulk to devices.
In the automotive sector, haptic solutions are revolutionizing human-machine interfaces (HMIs). Touch-sensitive dashboards, steering wheels, and control panels equipped with haptic feedback improve driver interaction and safety by providing tactile responses to touch commands. It allows drivers to focus on the road without relying solely on visual feedback. Healthcare is another industry witnessing transformative applications of haptic solutions. Haptic technologies are used in telemedicine, physical therapy, and surgical training to simulate real-world touch sensations. The innovations are making healthcare more accessible and practical.
Developing multi-sensory haptic systems is a noteworthy trend aimed at creating more prosperous and more nuanced tactile experiences. Researchers are exploring combining haptics with audio and visual feedback for greater realism. For instance, synchronized haptic responses with sound and graphics can create a fully immersive experience in entertainment and gaming. In e-commerce, multi-sensory haptics can allow customers to "feel" textures and materials virtually, bridging the gap between online and in-store shopping experiences.
The adoption of piezoelectric and electroactive polymers is driving advancements in haptic technologies. These materials enable precise and efficient haptic feedback while being lightweight and energy-efficient. Their application ranges from flexible displays to medical devices, where fine-tuned tactile responses are essential. As material science continues to evolve, haptic solutions are becoming more versatile, durable, and cost-effective, paving the way for broader adoption across industries. For instance, smartphone haptics can adapt to user behavior, delivering customized feedback for notifications, gaming, or typing.
Personalized haptics enhances user satisfaction and engagement by providing each individual with a unique and intuitive experience. The industry addresses sustainability concerns while catering to the growing demand for green technologies. Haptic solutions are evolving rapidly, driven by trends such as VR integration, miniaturization, automotive applications, and advancements in healthcare. The focus on multi-sensory systems, innovative materials, personalization, and sustainability further underscores the transformative potential of haptic technologies. ...Read more