Complexity Science Hub’s Post

Scientists Identify Key Superconducting Behaviour at Unexpectedly High Temperatures Recent research by SLAC and Stanford has identified electron pairing—a key superconductor behaviour—at significantly higher temperatures than previously observed, including in unexpected materials like antiferromagnetic insulators. This breakthrough offers insights into designing superconductors that function closer to room temperature, which could transform various technologies from quantum computing to transportation. Although not fully synchronized, the study explores how these electron pairs indicate potential pathways to achieving higher-temperature superconductivity, opening new avenues for future materials engineering and energy-efficient advancements. #Superconductivity #ScientificBreakthrough #SLACResearch #StanfordScience #QuantumTechnology #HighTemperatureSuperconductors #PhysicsInnovation #EnergyEfficiency #AdvancedMaterials #WissenResearch

Scientists Identify Key Superconducting Behaviour at Unexpectedly High Temperatures Recent research by SLAC and Stanford has identified electron pairing—a key superconductor behaviour—at significantly higher temperatures than previously observed, including in unexpected materials like antiferromagnetic insulators. This breakthrough offers insights into designing superconductors that function closer to room temperature, which could transform various technologies from quantum computing to transportation. Although not fully synchronized, the study explores how these electron pairs indicate potential pathways to achieving higher-temperature superconductivity, opening new avenues for future materials engineering and energy-efficient advancements. #Superconductivity #ScientificBreakthrough #SLACResearch #StanfordScience #QuantumTechnology #HighTemperatureSuperconductors #PhysicsInnovation #EnergyEfficiency #AdvancedMaterials #WissenResearch

Researchers from the University of Oxford, Department of Physics have made a breakthrough in creating and designing silicon-compatible magnetic whirls that could be used in a new generation of green and super-fast computing platforms. These hurricane-like magnetic whirls in membranes, thought to move at incredible speeds of up to kilometres per second, could be used as information carriers, creating the potential for super-fast computing. The work was led by Dr Hariom Jani, from the Department of Physics. Read more about it here: https://lnkd.in/evip8jDP #compscioxford

We’re thrilled to announce the latest research project to be launched on the Science Card platform, in collaboration with King's College London’s Faculty of Natural, Mathematical & Engineering Sciences, led by the renowned quantum physicist Dr James Millen and featuring some truly inspirational science. Dr Millen’s research project aims to produce ultra-sensitive sensors able to detect the world at a #quantum level. Capable of measuring the tiniest of movements with unparalleled precision, speed, and accuracy - with the ability to sense individual photons of light and even dark matter - the research will advance technologies across aerospace, medical imaging, environmental monitoring, GPS tracking, and fundamental research in physics, biology and chemistry. Sitting at the boundary between fundamental research and applied science, this research is set to transform the field of sensing technology by integrating cutting-edge #neuromorphic imaging - mimicking the human brain - with microparticles levitated in a vacuum. Read more on the project webpage: https://lnkd.in/eRwdWCFA

The creation of new materials that offer unprecedented energy and material savings is accelerating at a rate that is barely noticeable to the general public. The huge increase in computing power is beginning to fundamentally change the way we work with materials: The potential of quantum theory can finally be exploited in a very practical way across the whole spectrum of materials science. For the last half-century, both the cost and the energy required for a unit of computing power have fallen by a factor of about twenty every decade. The history of recent materials science shows that this is the trigger for a wave of innovation that may drastically reduce the energy and material intensity of our civilisation. Here is a new episode of my history of energy technology:

🔬 Exciting Advances in Thermal Property Predictions! 🔬 I recently read a groundbreaking research paper on a novel machine-learning framework developed by Massachusetts Institute of Technology and other collaborators that could revolutionize the way we predict phonon dispersion relations, crucial for understanding the thermal properties of materials. Here are some my key learnings: 🌟 Heat Waste Reduction: Approximately 70% of the world's generated energy becomes waste heat. By better predicting how heat moves through semiconductors and insulators, we can design more efficient power generation systems. 🔧 Modeling Challenges: Traditional methods struggle with predicting phonons, subatomic particles carrying heat, due to their wide frequency range and complex interactions. 💡 Innovative Solution: The new framework predicts phonon dispersion relations up to 1,000 times faster than existing AI-based techniques and could be 1 million times faster than traditional methods. ⚙️ Graph Neural Networks (GNN) Limitations: Standard GNNs aren’t flexible enough for high-dimensional properties like phonon dispersion relations. The solution? Virtual nodes! 🚀 Virtual Nodes Introduction: By adding flexible virtual nodes to the fixed crystal structure, researchers created a Virtual Node Graph Neural Network (VGNN). This allows for efficient and accurate predictions without complex calculations. 📈 Enhanced Accuracy and Efficiency: VGNNs not only improve prediction speed but also offer greater accuracy in estimating material heat capacity, with some predictions being two orders of magnitude more accurate. 🔍 Broad Applications: This method can rapidly model complex materials like alloys and could extend beyond phonons to predict optical and magnetic properties. 🌐 Future Potential: The virtual node technique is a generic approach that could be used to predict a wide range of high-dimensional quantities, opening doors to numerous scientific and engineering applications. This research, supported by esteemed institutions like the U.S. Department of Energy and the National Science Foundation, marks a significant step forward in material science and energy efficiency. #MaterialScience #MachineLearning #EnergyEfficiency #GraphNeuralNetworks #ResearchInnovation #ThermalProperties #MIT Let's connect and discuss more about this exciting advancement! 🚀🔋 Read the full research paper here: https://lnkd.in/gmsZMPCp

🔬 Unlocking the Future of Technology: Day 24 of the Quantum Computing Challenge 🌟 Today, we explored the promising realm of quantum simulation, a groundbreaking approach that holds immense potential for discovering new materials with unprecedented physical properties. Quantum simulation offers a powerful avenue for exploring the behavior of quantum systems and predicting their properties with unparalleled accuracy. By harnessing the principles of quantum mechanics, researchers can simulate complex phenomena that are beyond the reach of classical computers, paving the way for revolutionary advancements in materials science and technology. One of the most exciting applications of quantum simulation is the discovery of novel materials with unique physical properties. By modeling the behavior of atoms and molecules at the quantum level, scientists can identify materials with desirable characteristics, such as superconductivity, magnetism, or exceptional strength. This approach has the potential to revolutionize numerous industries, from electronics and energy storage to healthcare and beyond. Imagine harnessing the power of quantum simulation to design materials with unprecedented conductivity for next-generation electronics or develop innovative catalysts for sustainable energy production. As we continue our exploration of quantum computing, I'm excited to delve deeper into the realm of quantum simulation and uncover its vast potential for shaping the technologies of tomorrow. Stay tuned for more insights and discoveries as we journey further into the quantum frontier! #QuantumComputing #Quantum30 #QuantumSimulation #MaterialsScience #Innovation #QCIChallenge 🚀🔬

Breaking Boundaries: Combining Conventional with Quantum Internet Image by Андрей Баклан from Pixabay Physicists develop new method to combine conventional internet with the quantum internet https://lnkd.in/e_DgtRW5 By the Leibniz University Hannover Cutting-edge research organizations have unveiled a groundbreaking advancement in computing technology. By harnessing the power of two optical laser pulses, a new method has been developed that promises to revolutionize the field of computing. This innovative approach represents a significant leap forward, offering the potential to reshape the way we interact with technology. The implications of this discovery are far-reaching, with the potential to impact a wide range of industries and everyday life. #WesternCanadaReason #wecanreason #criticalthinking #skeptics #science

Exciting news from the scientists of the University of Michigan: a groundbreaking class of 2D materials has been discovered, showcasing a stable charge density wave at room temperature! 🌡️💻 Traditionally, quantum materials exhibit their fascinating properties only at ultra-low temperatures, making them challenging for practical applications. But hold on! The research team, led by Robert Hovden, took a fresh approach, growing the 2D material within another matrix and introducing a new class of materials they've dubbed "endotaxial." Using tantalum disulfide (TaS2), the team observed electrons spontaneously forming a charge density wave, turning the material from a conductor to an insulator without altering its chemistry. This discovery opens up possibilities for high-temperature applications, potentially serving as a transistor in classical or quantum computing! 🧠💡 Hold on to your hats, though! The charge crystal remains stable even past the boiling point of water, defying expectations. The future of computing is getting brighter thanks to this exciting new research! #QuantumMaterials #Innovation #ScienceBreakthroughs #TechRevolution #UniversityOfMichigan https://lnkd.in/d6pMxJzs

MIT Physicists Predict Exotic Matter for Quantum Computing Breakthrough MIT physicists have made a groundbreaking prediction about an exotic form of matter that could revolutionize quantum computing. Led by Professor Liang Fu, the team has shown that it's possible to create fractionalized electrons known as non-Abelian anyons without applying a magnetic field. This breakthrough builds on last year's discovery of materials that host electrons that can split into fractions of themselves, but without the need for a magnetic field. Non-Abelian anyons have the unique ability to "remember" their spacetime trajectories, making them ideal for quantum computing applications. The researchers used advanced 2D materials, specifically atomically thin layers of molybdenum ditelluride, to create this exotic form of matter. Graduate students Aidan P. Reddy and Nisarga Paul, and postdoc Ahmed Abouelkomsan, all from MIT's Department of Physics, contributed to the work. If confirmed experimentally, this prediction could lead to more reliable quantum computers capable of executing a wider range of tasks. #quantum #quantumcomputing #technology https://lnkd.in/eJzWnPsx