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Categories: Engineering: Graphene, Mathematics: Statistics

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A lightweight, ultra-shock-absorbing foam made from carbon nanotubes is so good at absorbing and dissipating the energy of an impact, it could vastly improve helmets and prevent concussions and other traumatic brain injuries.

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The flash Joule heating process turns asphaltenes, a byproduct of crude oil production, into graphene for use in composite materials.

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A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues.

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First insights into engineering crystal growth by atomically precise metal nanoclusters have been achieved in a new study.

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Researchers have published a new theory for making batches of carbon nanotubes with a single, desired chirality. Their method could simplify purification of nanotubes that are all metallic or all semiconductors.

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A recent study has proposed a strategy to synthesize single-crystalline graphite films orders of magnitude large, up to inch scale.

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Chemists and engineers have discovered a fundamental friction law that is leading to a deeper understanding of energy dissipation in friction and the design of two-dimensional materials capable of minimizing energy loss.

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Engineers synthesized aligned forests of nanoscale fibers made of boron nitride, or 'white graphene.' They hope to harness the technique to fabricate bulk-scale arrays of these nanotubes, which can then be combined with other materials to make stronger, more heat-resistant composites, for instance to shield space structures and hypersonic aircraft.

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America was unprepared for the magnitude of the pandemic, which overwhelmed many counties and filled some hospitals to capacity. A new study suggests there may have been a mathematical method, of sorts, to the madness of those early COVID days.

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Researchers have engineered a quantum box for polaritons in a 2D material, achieving large polariton densities and a partially 'coherent' quantum state. New insights from the novel technique could allow researchers to access striking 'collective' quantum phenomena in this material family, and enable ultra-energy efficient and high-performance future technologies. Laying a 'small' 2D material on top of a 'large' layer allowed the researchers to trap and investigate polaritons, comparing them with freely moving polaritons.

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People often wonder why one nutritional study tells them that eating too many eggs, for instance, will lead to heart disease and another tells them the opposite. The answer to this and other conflicting food studies may lie in the use of statistics, according to a new report.

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Researchers followed the birth and death of tens of thousands of nematode worms using the 'Lifespan Machine', which collects lifespan data at unprecedented statistical resolution. They found that worms have at least two distinct 'biological ages', and that these have consistent correlations between each other, suggesting the existence of an invisible hierarchical structure that regulates the ageing process. The findings challenge the idea of living organisms having a single, universal biological age. It also means mean that biomarkers used to assess biological age can be changed by interventions such as diet, exercise, or drug treatments without actually turning a 'fast ager' into a 'slow ager'. The study calls into question the use of ageing biomarkers -- what exactly are they measuring?

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Researchers have demonstrated how a nanoscale layer of superconducting niobium nitride (NbNx) can be grown directly onto aluminum nitride (AIN). The arrangement of atoms, nitrogen content, and electrical conductivity were found to depend on growth conditions, particularly temperature, and the spacing of atoms in the two materials was sufficiently compatible to produce flat layers. The structural similarity between NbNx and AIN will facilitate the integration of superconductors into semiconductor optoelectronic devices.

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The contact.engineering platform enables users to create a digital twin of a surface and thus to help predict, for example, how quickly it wears out, how well it conducts heat, or how well it adheres to other materials.

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The carrier concentration and conductivity in p-type monovalent copper semiconductors can be significantly enhanced by adding alkali metal impurities. Doping with isovalent and larger-sized alkali metal ions effectively increased the free charge carrier concentration, and the mechanism was unraveled by their theoretical calculations. Their carrier doping technology enables high carrier concentration and high mobility p-type thin films to be prepared from the solution process, with photovoltaic device applications.

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A commentary advocates the proper application of artificial intelligence in healthcare and warns of the dangers when machine learning algorithms are misused.

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Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to improvements in computer performance and its potential applications in artificial intelligence. However, this statistical approach requires complex calculations of integrals, which are often considered approximations only. In their new study, the research team successfully derived new exact integral formulas. Their findings contribute to improving the accuracy of methods to identify data symmetries, possibly extending their applications to wider areas of interest, such as genetic analysis.

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Researchers demonstrated a topological insulator device that opens the way towards observing the quantum anomalous Hall effect. Because the currents generated are resistant to scattering, but very sensitive to applied magnetic fields, they may be used for reducing power consumption in computing applications.

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Physicists have demonstrated a new magnetized state in a monolayer of tungsten ditelluride. This material of one-atom thickness has an insulating interior but a conducting edge, which has important implications for controlling electron flow in nanodevices.

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How do different materials react to the impact of ions? This is a question that plays an important role in many areas of research -- for example in nuclear fusion research, when the walls of the fusion reactor are bombarded by high-energy ions. However, it is difficult to understand the temporal sequence of such processes. A research group has now succeeded in analyzing on a time scale of one femtosecond what happens to the individual particles involved when an ion penetrates materials such as graphene or molybdenum disulphide.