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Category: nanotechnology – Page 10

In recent years, technological advancements have made it possible to create synthetic diamonds that have similar physical and chemical properties to natural diamonds. While synthetic diamonds are not considered “fake” or “imitation,” they are often more affordable than their natural counterparts, making them a popular choice for those who want the beauty of a diamond without the high cost. Synthetic diamonds are also often more environmentally friendly, as they do not require the same level of mining and extraction as natural diamonds.

In its pristine state, diamond is a non-conductive material, devoid of or “holes” that can facilitate electrical conduction (Figure 1). However, by introducing into the diamond crystal lattice, its optical and electrical properties can be significantly altered. As the concentration of boron is increased, the diamond’s color shifts from its characteristic clear hue to a delicate shade of blue, while its electrical conductivity transforms from an insulator to a semiconductor.

Further increases in the boron content result in a lustrous blue shade that resembles the sheen of metallic surfaces and eventually culminates in a deep, ebony coloration. Such heavily boron-doped diamond (BDD) is also as electrically conducting as some metals, and at , exhibits superconductivity, allowing electrical conduction with no resistance.

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Cornell scientists have developed a novel technique to transform symmetrical semiconductor particles into intricately twisted, spiral structures—or “chiral” materials—producing films with extraordinary light-bending properties.

The discovery, detailed in a paper in the journal Science, could revolutionize technologies that rely on controlling light polarization, such as displays, sensors and optical communications devices.

Chiral materials are special because they can twist light. One way to create them is through exciton-coupling, where light excites nanomaterials to form excitons that interact and share energy with each other. Historically, exciton-coupled chiral materials were made from organic, carbon-based molecules. Creating them from inorganic semiconductors, prized for their stability and tunable optical properties, has proven exceptionally challenging due to the needed over nanomaterial interactions.

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In an advance for quantum technologies, researchers at the Cavendish Laboratory, University of Cambridge, have created a functional quantum register using the atoms inside a semiconductor quantum dot.

Published in Nature Physics, the work demonstrates the introduction of a new type of optically connected qubits—a critical advance in the development of quantum networks, where stable, scalable, and versatile quantum nodes are essential.

Quantum dots are nanoscale objects with unique optical and electronic properties that come from quantum mechanical effects. These systems are already used in technologies like display screens and , and their adoption in quantum communication has been mostly due to their ability to operate as bright single-photon sources.

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At Texas A&M University, one research lab is changing the game of droplet microfluidics, a technique that involves conducting experiments in nanoscale droplets of liquid in a controlled environment. The team has developed a system that makes droplet microfluidics faster, lower cost, and more accurate.

Dr. Arum Han, the Texas Instruments Professor in the Department of Electrical and Computer Engineering, and his lab associates created a technology named NOVAsort (Next-generation Opto-Volume-based Accurate droplet sorter), a system that allows high throughput screening of molecules and cells at significantly reduced error rates.

Whereas previous research has focused on increasing the speed of assays (a type of laboratory test), the team’s findings, which are published in Nature Communications, are among the first to significantly improve accuracy without compromising the speed of assays.

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To design their improved materials, Serles and Filleter worked with Professor Seunghwa Ryu and PhD student Jinwook Yeo at the Korea Advanced Institute of Science & Technology (KAIST) in Daejeon, South Korea. This partnership was initiated through U of T’s International Doctoral Clusters program, which supports doctoral training through research engagement with international collaborators.

The KAIST team employed the multi-objective Bayesian optimization machine learning algorithm. This algorithm learned from simulated geometries to predict the best possible geometries for enhancing stress distribution and improving the strength-to-weight ratio of nano-architected designs.

Serles then used a two-photon polymerization 3D printer housed in the Centre for Research and Application in Fluidic Technologies (CRAFT) to create prototypes for experimental validation. This additive manufacturing technology enables 3D printing at the micro and nano scale, creating optimized carbon nanolattices.

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In a monumental stride toward the realization of practical quantum computing and advanced quantum networks, researchers at the prestigious Cavendish Laboratory of the University of Cambridge have successfully crafted a fully operational quantum register utilizing the atomic properties within a semiconductor quantum dot. This innovative development could pave the way for pivotal advancements in quantum information technology, crucial for the anticipated future where quantum networking integrates into everyday digital communications.

This breakthrough is detailed in a publication in Nature Physics, where it reveals the introduction of an entirely new category of qubits that are optically interconnected. As the field of quantum networking progresses, the need for stable, scalable, and adaptable quantum nodes has become increasingly evident. The research team’s focus on quantum dots is particularly advantageous, as these nanoscale entities possess unique optical and electronic attributes intrinsic to quantum mechanical phenomena.

Quantum dots have demonstrated considerable potential in existing technologies, such as medical imaging and display screens, primarily due to their efficacy as bright single-photon sources. However, to create functional quantum networks, it is essential not only to emit single photons but also to establish reliable qubits that can effectively interact with these emitted photons. Moreover, these qubits must be capable of locally storing quantum information over extended periods. The researchers’ development enhances the inherent spins of the nuclear atoms within the quantum dots, optimizing them into a cohesive many-body quantum register.

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Attosecond science, honored with the 2023 Nobel Prize in Physics, is transforming our understanding of how electrons move in atoms, molecules, and solids. An attosecond—equivalent to a billionth of a billionth of a second—enables “slow-motion” visualization of natural processes occurring at extraordinary speeds.

However, until now, most attosecond experiments have been limited to spectroscopic measurements due to the constraints of attosecond light pulse sources.

Using the powerful X-ray Free Electron Laser (FEL) at SLAC National Laboratory in California, the Hamburg team studied how interact with nanoparticles. They uncovered a previously unexplored phenomenon: transient ion resonances that enhance image brightness.

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Ultrawide-bandgap semiconductors—such as diamond—are promising for next-generation electronics due to a larger energy gap between the valence and conduction bands, allowing them to handle higher voltages, operate at higher frequencies, and provide greater efficiency compared to traditional materials like silicon.

However, their make it challenging to probe and understand how charge and heat move on nanometer-to-micron scales. Visible light has a very limited ability to probe nanoscale properties, and moreover, it is not absorbed by diamond, so it cannot be used to launch currents or rapid heating.

Now, researchers at JILA, led by JILA Fellows and University of Colorado physics professors Margaret Murnane and Henry Kapteyn, along with graduate students Emma Nelson, Theodore Culman, Brendan McBennett, and former JILA postdoctoral researchers Albert Beardo and Joshua Knobloch, have developed a novel microscope that makes examining these materials possible on an unprecedented scale.

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Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam.

In a new paper published in Advanced Materials, a team led by Professor Tobin Filleter describes how they made nanomaterials with properties that offer a conflicting combination of exceptional strength, light weight and customizability. The approach could benefit a wide range of industries, from automotive to aerospace.

“Nano-architected materials combine high performance shapes, like making a bridge out of triangles, at nanoscale sizes, which takes advantage of the ‘smaller is stronger’ effect, to achieve some of the highest strength-to-weight and stiffness-to-weight ratios, of any material,” says Peter Serles, the first author of the new paper.

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