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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.
FREMONT CA,: Researchers at the Nano Life Science Institute (WPI-NanoLSI) of Kanazawa University have unveiled an innovative biosensor that significantly enhances the detection of 1-methyl nicotinamide (1-MNA), a metabolite linked to various diseases, including cancer, metabolic disorders, and liver conditions. This innovation, published in Analytical Chemistry , represents a leap forward in disease diagnosis by offering improved sensitivity and accessibility compared to traditional methods like mass spectrometry and nuclear magnetic resonance (NMR).
Addressing Limitations of Traditional Detection Methods
Metabolites such as 1-MNA, by-products of bodily processes, serve as critical biomarkers for diagnosing and monitoring diseases. Elevated levels of 1-MNA are associated with increased nicotinamide N-methyltransferase (NNMT) activity, a process linked to the progression of aggressive cancers and metabolic disorders. While effective, current detection methods rely on expensive equipment and complex sample preparation, limiting their use in routine clinical diagnostics.
Seeking a more efficient solution, researchers Masaya Ueno, Tomoki Ogoshi, and Atsushi Hirao explored pillararenes—a class of macrocyclic molecules known for their versatility in chemical sensing. By leveraging these molecules, the team developed a novel biosensor capable of detecting 1-MNA with significantly higher sensitivity and reduced complexity.
Enhanced Detection with Sulfonated Pillar [6]arene (P6AS)
In their latest work, the research team introduced a sulfonate-functionalized variant of pillar [6]arene (P6AS), which exhibits a binding affinity for 1-MNA that is 700 times greater than its predecessor, carboxylated pillar[6]arene (P6AC). This dramatic increase in sensitivity allows for detecting sub-micromolar concentrations of 1-MNA directly in unpurified urine samples.
Unlike earlier iterations, which required extensive sample purification and could not detect micromolar concentrations of 1-MNA in cell culture supernatants, the P6AS biosensor circumvents these limitations. It delivers precise results without complex preparation steps, making it a practical option for real-world diagnostic applications.
Potential Applications in Disease Diagnosis and Drug Development
The ability to measure 1-MNA levels accurately has profound clinical implications. Elevated NNMT activity is a hallmark of various cancers, and its suppression has shown promise in alleviating certain disease symptoms. By quantifying 1-MNA levels, healthcare providers can gain insights into NNMT activity, aiding in disease diagnosis and monitoring.
Moreover, the P6AS biosensor's high-throughput capabilities open new doors for drug discovery. The device's efficiency could expedite the screening of potential NNMT inhibitors, paving the way for novel treatments for diseases such as liver disease and cancer.
Despite its advantages, the biosensor does have limitations. While it performs well with urine samples, autofluorescence in human serum poses challenges for accurate detection. Researchers are optimistic that further refinements will address these issues, broadening the sensor’s applicability to more sample types.
Implications for Broader Healthcare Innovation
The improved sensitivity of the P6AS biosensor stems from the stronger acidity of its sulfonate groups compared to the carboxylate groups in earlier versions. This breakthrough not only enhances diagnostic precision but also has the potential to transform how diseases linked to NNMT activity are understood and treated.
“Monitoring NNMT expression and activity by quantifying 1-MNA is critical for elucidating patient pathology,” the researchers emphasized. They envision their biosensor as a tool for clinical diagnostics and advanced research, including in vivo imaging of cancer cells and high-throughput drug screening.
Future Directions and Optimism
While traditional methods like mass spectrometry remain the gold standard for detecting nanomolar concentrations, the accessibility and efficiency of the P6AS biosensor position it as a game-changer in diagnostic technology. The team believes that further refinement could unlock even greater potential, including applications in advanced imaging and real-time monitoring of disease progression.
“Further improvement of our strategy will contribute to high-throughput screening of NNMT inhibitors, diagnosis of liver diseases, and imaging of human cancer cells in vivo,” the researchers concluded.
This cutting-edge biosensor not only simplifies disease detection but also marks a significant step toward making diagnostic technologies more accessible. With its potential to improve diagnostics and treatment options, the P6AS biosensor promises to be a vital tool in the fight against cancer, liver disease, and other conditions linked to elevated 1-MNA levels. ...Read more
Sensor technology plays a crucial role in various industries, detecting environmental changes, converting physical phenomena into measurable signals, and transforming various sectors through diverse applications.
At the core of sensor technology is the ability to detect specific physical properties such as temperature, pressure, light, motion, and chemical composition; most sensors operate on a fundamentally simple principle: they measure a physical phenomenon and translate that into an output that can be read, such as an electrical signal. A great example is the temperature sensor using a thermocouple, measuring changes in temperature through voltage changes, which a microcontroller or computer system can interpret. Such simple operation applies to many types of sensors, such as resistive, capacitive, inductive, or piezoelectric.
Sensor technology has innumerable applications. In the healthcare sector, monitoring patient conditions is a significant application. Equipped biosensors in wearable devices can trace inner physiological functions like heart rate, blood pressure, and glucose levels and transfer real-time data to patients and healthcare providers. This technology empowers individuals to oversee their health, and timely medical interventions help improve general patient care.
Sensors are the essential tools used in industrial automation to automate monitoring. Examples include using pressure sensors to monitor levels and pressure within pipelines; this allows the pressure to be kept within predetermined safety limits. Temperature is another parameter whose monitoring is considered critical in manufacturing processes. An optimal temperature range ensures that equipment does not fail and supports overall quality. Today, sensors in the Internet of Things only make this effect more profound because data collection and analyses can happen in many systems in real-time.
Environmental monitoring is another critical application of sensor technology. Sensors can monitor air and water quality, which means authorities can keep track of pollution levels and, accordingly, reduce them so that they do not threaten public health. Intelligent sensors installed in cities can monitor the patterned flow of traffic and help in planning intelligent cities and efficient transport systems. Soil moisture sensors in agriculture manage the irrigation for the farmers with responsible practices and efficient use of resources.
Advanced sensor technology is changing the face of the automotive industry. Today's automobiles carry sensors supporting various safety features, such as collision detection, lane-keeping assistance, and adaptive cruise control. These features are much safer for the driver and contribute to the greater goal of autonomous vehicles.
Advances in sensor technology will continue to open the door to more innovative applications driven by emerging trends such as miniaturization, wireless connectivity, and enhanced accuracy. Some examples of what is out there for sensor technology include smart homes with automatically adjusted lighting and temperature depending on occupancy and advanced manufacturing systems utilizing real-time data for decision-making. ...Read more
A wearable bioelectronics lab at the Georgia Institute of Technology at Northwestern University is developing innovative haptic patches, termed epidermal VR, to help people with neurological conditions, especially those with early-onset vision impairments. These patches use sensors to transmit information to haptic devices, much like VR goggles replicate visual experiences.
The patches utilize actuators that operate at frequencies between 50 and 200 Hz, where the skin is most sensitive. These actuators can vibrate and apply pressure, requiring more force than typical vibration mechanisms. This small, battery-powered device achieves both functions using bistable magnetic materials and the skin's natural spring-like properties, making it more efficient than traditional, energy-heavy tethered devices. The bistable mechanism flips between states with a small burst of energy, similar to a light switch.
The actuator uses a combination of vibration, pressing and rotation to convey information to the skin. Researchers are exploring the optimal designs for these channels. For instance, in a visual sensory replacement system, indentation patterns created by the actuators can alert users to the presence of objects, warn of potential collisions and indicate the distance to obstacles, helping them navigate their surroundings. By integrating LiDAR systems and related APIs that identify objects like chairs, walls and doors, vibration can also guide users toward specific locations.
This epidermal VR system maps the environment and detects obstructions using LiDAR technology found in smartphones. This information is transmitted via Bluetooth to the haptic device for non-visual perception. Utilizing Apple's LiDAR APIs simplifies app development, with the phone handling image categorization and 3D reconstruction. Cloud processing may be incorporated to enhance the system's capabilities.
A key innovation is using kirigami, a Japanese paper-cutting technique, to convert the actuator's linear and rotational motions. This allows for creating intricate mechanical stimuli on the skin, like sub-pixels, by positioning multiple actuators near each other. This enables the delivery of more complex tactile information.
The research team is also exploring using neuromorphic computers and edge computing to further enhance the device's capabilities in the future. Currently, it uses a commercial System-on-a-Chip (SoC) with an ARM processor, Bluetooth stack and communication antenna.
The lab makes the stimuli intuitive by linking them to natural sensory experiences. This lets users quickly learn the system, often within a couple of hours, by associating specific stimuli with visual locations. With practice, users can automatically identify an object's location based solely on the sensation.
The lab aims to aid individuals who have lost sensation in their feet due to neurological conditions like stroke or spinal cord injuries. The haptic patches could assist gait and balance by enhancing sensory feedback, making walking easier and safer. This is achieved by delivering precise tactile cues to the feet, helping users regain awareness of their foot placement and improve their balance. ...Read more
One urgent worldwide issue that calls for creative solutions is climate change. One important instrument for overcoming this obstacle is technology, which is sometimes viewed as a double-edged sword. It improves resilience and sustainable development by providing data-driven analytics and renewable energy solutions. Driven by technical developments, the renewable energy revolution reduces reliance on finite resources and greenhouse gas emissions by offering clean alternatives to fossil fuels.
Technological innovations in energy storage, such as lithium-ion batteries and pumped hydro storage, address intermittency issues, enabling a reliable transition to renewable sources. Smart grids and demand-side management technologies optimize energy distribution, enhancing efficiency and resilience in the face of climate-induced disruptions. Agriculture, vulnerable to climate variability, transforms technology-driven solutions. Precision agriculture employs sensors, drones, and satellite imagery to accurately monitor soil health, crop growth, and water usage. Genetic engineering and biotechnology offer drought-resistant crops and disease-resistant strains, bolstering food security amidst changing climatic conditions.
Infrastructure resilience lies at the heart of climate change adaptation, with technology playing a pivotal role in its enhancement. Advanced modelling techniques and simulation software enable engineers to design infrastructure capable of withstanding extreme weather events, from fortified coastal defences to resilient urban infrastructure. Sensor networks and Internet of Things (IoT) devices facilitate real-time infrastructure integrity monitoring, enabling proactive maintenance and rapid response to climate-induced disruptions, minimizing downtime and economic losses. Nature-based solutions harness the inherent resilience of ecosystems to mitigate climate risks and enhance adaptation efforts.
Green infrastructure, encompassing green roofs, urban forests, and permeable pavements, reduces the urban heat island effect, mitigates flood risks, and enhances biodiversity. Technological innovations such as bioengineering and ecological restoration techniques amplify the effectiveness of nature-based solutions, offering scalable and cost-effective strategies for climate resilience in urban and rural landscapes. In the era of big data, harnessing vast amounts of information becomes instrumental in climate change adaptation. Remote sensing technologies, artificial intelligence, and machine learning algorithms analyze complex environmental data to predict and mitigate climate-related risks.
From early warning systems for weather events to predictive models for disease outbreaks, data-driven decision-making empowers policymakers and stakeholders to formulate adaptive strategies with precision and foresight, enhancing resilience across sectors and communities. Technology catalyzes community engagement and climate education, fostering collective action and behavioral change. Social media platforms, augmented reality, mobile applications, and virtual reality experiences raise awareness about climate change impacts and adaptation strategies, empowering individuals to take proactive measures in their daily lives. Digital platforms facilitate peer-to-peer knowledge exchange and collaboration, enabling communities to co-create innovative solutions tailored to local contexts and needs.
Technology emerges as a tough ally in the quest for adaptation and resilience. From renewable energy solutions to precision agriculture and climate-resilient infrastructure, technological innovations offer various opportunities to mitigate weather shift impacts and foster sustainable development. By harnessing the power of data-driven decision-making and promoting community engagement, we can navigate the complexities of climate change with resilience and ingenuity, forging a path toward a more sustainable and resilient future for future generations. Collaboration, innovation, and collective action remain imperative in addressing the defining challenge of our time. ...Read more
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