Topological Phonons Discovered in Crystal Lattices

Topological Phonons Discovered in Crystal Lattices

An international research team has shown that phonons, the quantum particles behind material vibrations, can be classified using topology, much like electronic bands in materials. This breakthrough could lead to the development of new materials with unique thermal, electrical, and mechanical properties, enhancing our understanding and manipulation of solid-state physics. Researchers from an international consortium …

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Harnessing the Unseen: Revolutionizing Computing With Valleytronics

Harnessing the Unseen: Revolutionizing Computing With Valleytronics

ICFO researchers have discovered a new method to control electron valleys in bulk materials, potentially revolutionizing the way information is encoded and manipulated in computing and quantum technologies. Artistic illustration of the trefoil field incident on the bulk material MoS2. Electrons within solid materials are restricted to specific energy levels, known as “bands.” The space …

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Quantum Control Unlocked: Creating Resistance-Free Electron Channels

Quantum Control Unlocked: Creating Resistance-Free Electron Channels

New research demonstrates control over quantum states that could revolutionize energy efficiency in electronics and advance quantum computing. Credit: SciTechDaily.com For the first time, scientists electrically manipulate a ‘chiral interface state’ in a 2D material, with promise for energy-efficient microelectronics and quantum computing. Scientists have taken the first atomic-resolution images of an exotic quantum phenomenon …

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Potential and challenges of computing with molecular materials

Potential and challenges of computing with molecular materials

Rotman, D. Molecular computing. MIT Technology Review https://go.nature.com/3OSS3w1 (2000). Cuevas, J. C. & Scheer, E. Molecular Electronics: An Introduction to Theory and Experiment (World Scientific, 2010). Carroll, R. L. & Gorman, C. B. The genesis of molecular electronics. Angew. Chem. Int. Ed. 41, 4378–4400 (2002). Article  Google Scholar  Chen, J., Reed, M., Rawlett, A. & …

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Interactive design generation and optimization from generative adversarial networks in spatial computing

Interactive design generation and optimization from generative adversarial networks in spatial computing

Icon generation model based on GANs The GAN is a network structure composed of generators and discriminators. The generator aims to generate samples similar to real data, while the discriminator aims to distinguish between the generated samples and real data. Through continuous adversarial learning, the generator gradually improves the fidelity of the generated samples, enabling …

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New Fusion of Materials Has All the Components Required for a Unique Type of Superconductivity

New Fusion of Materials Has All the Components Required for a Unique Type of Superconductivity

Researchers at Penn State have introduced a groundbreaking material fusion that enables a new form of superconductivity, crucial for advancing quantum computing and exploring the theoretical chiral Majorana particles. Their study demonstrates how combining magnetic materials can lead to emergent superconductivity, marking a significant leap in creating chiral topological superconductors and potentially unlocking new avenues …

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Hafnia Breakthrough Paves Way for Ultra-Fast, Efficient, Cheap Computer Memory

Hafnia Breakthrough Paves Way for Ultra-Fast, Efficient, Cheap Computer Memory

Scientists are advancing the use of hafnium oxide (hafnia) for the next generation of non-volatile computing memory, offering significant advantages over existing technologies. Credit: SciTechDaily.com Scientists outline new processes for leveraging hafnia’s ferroelectric features with the aim of enhancing high-performance computing. Scientists and engineers have been pushing for the past decade to leverage an elusive …

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Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil

Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil

Zou, S. et al. Research on improving comprehensive properties of a new sawdust composite insulation material by torrefaction. Process Saf. Environ. Prot. 152, 361–374 (2021). Article  Google Scholar  Shaikh, F. U. A., Fairchild, A. & Zammar, R. Comparative strain and deflection hardening behaviour of polyethylene fibre reinforced ambient air and heat cured geopolymer composites. Constr. …

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Scientists Discover Groundbreaking Superconductor With On-Off Switches

Scientists Discover Groundbreaking Superconductor With On-Off Switches

A team of physicists has discovered a new superconducting material with unique tunability for external stimuli, promising advancements in energy-efficient computing and quantum technology. This breakthrough, achieved through advanced research techniques, enables unprecedented control over superconducting properties, potentially revolutionizing large-scale industrial applications. Material has potential applications in superconducting circuits for the next generation of industrial …

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Exploration of a wide bandgap semiconducting supramolecular Mg(II)-metallohydrogel derived from an aliphatic amine: a robust resistive switching framework for brain-inspired computing

Exploration of a wide bandgap semiconducting supramolecular Mg(II)-metallohydrogel derived from an aliphatic amine: a robust resistive switching framework for brain-inspired computing

Rheological analysis The rheological mechanical property results from angular frequency and strain-sweep measurement tests confirmed the viscoelastic nature of the Mg@TMA metallohydrogel. This is a case where the storage modulus (G′, the energy stored in the system during the application of shear to the viscoelastic zone) is much greater than the loss modulus (G′′, the …

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