The team created ten holograms with varying colors and shapes using an inverse design technique driven by artificial intelligence. They integrated an oblique helicoidal cholesterics-based wavelength modulator to accurately implement the designed holograms, enabling the establishment of an optical security system.
The new metafluid can transition between Newtonian and non-Newtonian states, allowing for programmable viscosity and compressibility. The researchers demonstrated the fluid's capabilities in a hydraulic robotic gripper, picking up objects of varying weights without crushing them.
Researchers have made significant breakthroughs by harnessing AI in metamaterials research, leading to faster device development and more precise data analysis. This convergence of AI and metaphotonics has the potential to transform various domains, including diagnosis, environmental monitoring, and security.
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Zero-index metamaterials (ZIMs) exhibit uniform electromagnetic field distribution over arbitrary shapes, enabling ultra-compact cloaking devices and arbitrarily shaped waveguides. Researchers have developed a highly homogeneous ZIM using high-permittivity materials, reducing its physical dimensions by threefold.
Researchers develop deep learning models to solve inverse problems in metamaterial design, considering durability and manufacturing limitations. The AI tool discovers novel materials with extreme properties, enabling new applications in orthopaedic implants, soft robots, and more.
A research team led by Professor Yang Yong found that severely oxidized metallic glass nanotubes can attain an ultrahigh recoverable elastic strain of up to 14% at room temperature. The discovery implies that oxidation in low-dimension metallic glass can result in unique properties for applications in sensors, medical devices, and othe...
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A new type of mechanical sensor, powered by sound waves, could monitor infrastructure and medical devices without battery replacement, reducing waste. The sensor can distinguish between different words and sounds, triggering processes or alarms.
A new study at MIT has developed a way to quickly test an array of metamaterial architectures and their resilience to supersonic impacts. The researchers found that the microstructure of the material matters, even with high-rate deformation, and identified impact-resistant structures for coatings or panels.
Scientists develop novel synthetic strategy to create highly ordered colloidal crystals using DNA as the bonding element. The approach enables the synthesis of 10 new crystals with potential for designing metamaterials with unprecedented properties.
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Researchers are developing new materials to treat spinal injury, repair, and recovery. A team led by Pitt Engineer Amir Alavi is testing the first
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences developed a 10-centimeter-diameter glass metalens that can image the sun, moon, and distant nebulae with high resolution.
Researchers unveiled a two-dimensional Metal Organic Framework (MOF) that showcases negative thermal expansion and unique origami tessellation patterns. The MOF's deformable net topology enables origami-like movement in response to temperature changes.
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Researchers developed AI tools to systematically explore metamaterials' design and mechanical properties, predicting optimal structures for desired deformation responses. The tools can generate and optimize new structures using large datasets and variational autoencoders.
Engineers at MIT have developed a new laser-based technique to probe metamaterial structures with ultrafast pulses, enabling the dynamic characterization of microscale metamaterials. The LIRAS system excites and measures vibrations in hundreds of miniature structures within minutes, accelerating the discovery of optimal materials for a...
Multistable mechanical metamaterials can switch between multiple stable configurations under external loading, making them reusable and efficient for quick action. Their unique properties make them promising for various engineering applications, including energy absorption, soft actuators/robots, and wave control.
Researchers have created a magnetoelectric material that can directly stimulate neural tissue, potentially treating neurological disorders and nerve damage. The material generates an electric signal that neurons can detect, overcoming previous limitations.
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Scientists at CUNY ASRC have shown that photons can collide and interact, allowing for new technologies to be developed. This breakthrough enables the manipulation of wave propagation, benefiting wireless communications, imaging, computing, and energy harvesting technologies.
Researchers develop low-cost 3D nanoprinting system with nanometer-level accuracy for printing microlenses, metamaterials, and micro-optical devices. The system uses a two-step absorption process and integrated fiber-coupled laser diode, making it accessible to scientists beyond optical experts.
Researchers developed a computational technique to quickly design and evaluate cellular metamaterial structures with unique properties. The new interface enables users to explore the entire space of potential shapes, allowing for faster development of complex materials.
Researchers developed a new approach to create a wideband microwave absorption metamaterial using ultraviolet lasers, achieving high absorption performance and control over electrical and magnetic properties. The process enables mass production of complex structures without post-treatment.
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Researchers created an enhanced VCD sensing platform using chiral metamaterials to improve detection of chiral molecules in mixtures. The technology achieved a 6-magnitude enhancement and demonstrated high selectivity for protein secondary structures.
The team uses a continuous-wave laser to create ultrashort electron pulses, allowing for attosecond time resolution. They investigate nanophotonic phenomena and film electromagnetic processes inside waveguide materials, opening up new developments in photonic integrated circuits and metamaterials.
Researchers at the University of Missouri have developed a smart material prototype that can control the direction and intensity of energy waves. This breakthrough could have significant implications for various fields, including military and commercial applications.
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The TU Dresden-funded D³ Research Training Group will develop digital methods for discovering new materials, with a focus on metamaterials. The team aims to create a fully digital, data-driven approach to design metamaterials with tailored properties for various applications.
Researchers at Princeton University developed a new device called mmWall that can steer millimeter-wave (mmWave) signals to reach all corners of a large room. The device uses an accordion-like array of panels to reflect and refract radio waves, allowing for efficient beam steering and alignment with transmitters and receivers.
Imperial College London physicists have recreated the famous double-slit experiment, showing light behaves as both particles and waves in time. This experiment could lead to ultrafast optical switches and control over light in space and time.
Researchers at the University of Pittsburgh have developed a new type of metamaterial concrete that can be designed to have specific attributes like brittleness, flexibility, and shapeability. This material can generate electricity and can also be used to monitor damage inside concrete structures or earthquakes, reducing their impact o...
Researchers at CUNY ASRC detail a breakthrough experiment in which they observed time reflections of electromagnetic signals in a tailored metamaterial. The effect causes a significant portion of the broadband signals to be instantaneously time reversed and frequency converted, forming a strange echo.
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Researchers developed a self-powered nanowire sensor that can detect nitrogen dioxide in the air without power source. The sensor has potential applications in environmental monitoring, healthcare, and industrial safety.
Illinois researchers create a metamaterial that changes its functionality based on power input, mimicking semiconductor behavior. The material's non-linear properties enable the creation of qubits dynamically, promising new quantum information systems.
Researchers at KAUST have developed acoustic tweezers that use spinning sound waves to manipulate ultrasmall objects with precision. This technology has the potential to enable precise control of submillimeter objects in opaque media, such as soft biological tissues.
A new space-time coding antenna developed at City University of Hong Kong enables manipulation of beam direction, frequency, and amplitude for improved user flexibility in 6G wireless communications. The antenna relies on software control and combines research advances in leaky-wave antennas and space-time coding techniques.
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University of Minnesota researchers have developed a contactless manipulation method using ultrasound waves, which can move larger objects without physical contact. This technique uses metamaterial physics to steer objects in desired directions, enabling control through sound reflection.
Scientists at the University of Illinois have created a new strategy to build materials with unique properties by organizing nanoparticles into pinwheel shapes. The pinwheel lattice exhibits chirality, a property that can be seen in nature's examples such as DNA and human hands.
A research team successfully manufactured a thermo-tunable broadband metamaterial that can adjust its electromagnetic response by controlling the solid–liquid phase state of different metamaterial units. The material exhibits ultra-wideband absorption performance and does not change with temperature changes.
Scientists review natural structures with exceptional properties, such as wood, bones, spider webs, and sea sponges. These hierarchical structures can be used to design innovative materials for vibration damping and acoustic wave control.
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Researchers discovered that topological insulators outperform graphene in generating terahertz electromagnetic waves, enabling efficient nonlinear terahertz photonics technology. The study achieved orders of magnitude improvement in output power approaching the milliwatt regime.
Researchers have successfully created a highly conductive metamaterial using self-organized quantum dots, maintaining their optical properties while displaying the highest electron mobility reported for quantum dot assemblies. This breakthrough paves the way for new generation of opto-electronic applications.
Engineers have created a new type of surface that can change its physical properties across different directions. By combining cells with adjustable shapes, the researchers can alter compressibility, flexibility and density. This technique has potential applications in medical devices, architecture and aerospace.
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Researchers at Purdue University and the University of Tennessee, Knoxville, have developed a metamaterial that can learn to adapt to its surroundings on its own. The material uses shape to store information in microseconds, allowing drones to quickly recall patterns associated with dangerous conditions.
Researchers develop mechanical neural networks (MNNs) with tunable beams that can learn behaviors and adapt to external forces. The MNNs, composed of a triangular lattice pattern, exhibit smart properties through machine learning algorithms. Early prototypes overcame lag issues and achieved accurate performance in various applications.
Researchers have developed stronger and more ductile microlattice materials by reducing unit sizes from 60 μm to 20 μm, enabling tailoring of mechanical properties. The size effect results in higher fracture strain and strength, making these materials suitable for various structural and functional applications.
A team of engineers has created a miniature chip that uses 'rainbow' trapping of light to detect viruses and diseases. The system, which can be integrated with smartphones, allows for high-throughput sensing of biomarkers such as exosomal epidermal growth factor receptor (EGFR), distinguishing lung cancer patients from healthy controls.
A research team at POSTECH and Sungkyunkwan University has developed an ultrahigh refractive index metamaterial that maximizes light-matter interaction. The material recorded the highest-ever refractive index of 7.8 in visible and near-infrared regions, enabling strong reflection of specific wavelengths.
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Researchers at City University of Hong Kong create lightweight, ultra-tough hybrid carbon microlattices that are 100 times stronger and doubled in ductility compared to original polymers. The new method enables the creation of sophisticated 3D parts with tailored mechanical properties for various applications.
Researchers characterize material properties of IP-Q using Raman spectroscopy and nanoindentation, revealing elastic parameters and their effects on acoustic behavior. The study optimizes elastic parameters for TPP-fabricated structures, benefiting applications in life science, mobility, and industry.
A novel metaholographic platform has been developed to detect light exposure, addressing concerns about light damage to vaccines and other biomedical substances. The technology can be used in intelligent packaging and labeling to prevent counterfeits and verify authenticity of products.
Researchers at Rice University have created 2D chiral superstructures using three-sided pyramids, which could lead to breakthroughs in metamaterials. The structures, composed of ultrathin assemblies of particles, incorporate left-handed and right-handed domains and exhibit unique optical properties.
A new broadband near-field chiral source enables comparison of different edge states to advance applications in integrated photonics and wireless devices. The research advances the field of chiral photonics science, promoting applications of chiral-sorting technology for microwave metadevices.
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Researchers at Osaka University have created a microfluidic system that can detect minute changes in the concentration of trace amounts of ethanol, glucose, or minerals in water using terahertz radiation. The device achieved sensitivity levels an order of magnitude better than existing microfluidic chips.
Researchers at the University of Pittsburgh have developed self-powered smart implants that can monitor spinal fusion healing in real-time. The implants use a new class of multifunctional mechanical metamaterials to record pressure and stresses, generating their own power and providing crucial information about the healing process.
A team of UCLA engineers developed a new design strategy and 3D printing technique to build robots in one step. The breakthrough enables the manufacturing of mechanical and electronic systems needed to operate a robot all at once, resulting in lighter weights, bulkier volumes, and reduced force output.
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Scientists develop a universal design framework for arbitrary on-chip spatial mode control using metamaterial building blocks, enabling record-high order mode up to the 20th. The method supports high-efficiency integrated photonic communication systems and boosts development of various information processing fields.
Researchers at the University of Birmingham have developed a new beam-steering antenna that increases data transmission efficiency, particularly at higher frequencies. The technology is fully compatible with existing 5G specifications and has been demonstrated to provide unprecedented data transmission efficiency.
McGill University researchers have created a class of cellular metamaterials that can flat-fold and lock into positions that remain stiff across multiple directions. These materials offer unprecedented properties for deployable structures such as submarines, robots, and low-volume packaging.
NIST researchers have developed a new atomic radio receiver that boosts signal strength 100-fold by enclosing cesium atoms in a custom copper structure resembling headphones. The structure acts as a split-ring resonator, enhancing the incoming radio signal and enabling the detection of weaker signals.
The study explores the synergy between Floquet matter and metamaterials, enabling nonreciprocal propagation, time-reversal, and novel optical gain. Periodic temporal modulation can produce a synthetic effective magnetic field in topological insulators, opening new avenues for wave control.
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Researchers at Duke University have developed a machine learning algorithm that incorporates known physics into neural networks, allowing for new insights into material properties and more efficient predictions. The approach helps the algorithm attain transparency and accuracy, even with limited training data.
Researchers at Rice University have created a 'metalens' that transforms long-wave UV-A into a focused output of vacuum UV radiation. The technology uses nanophotonics to impart a phase shift on incoming light, redirecting it and generating VUV without the need for specialized equipment.
A research team developed a technology to increase chirality between light and nanoparticles using metamaterials, significantly strengthening the signal. This allows for the accurate structural analysis of chiral nanoparticles with high precision.