U.S. Department of Energy Office of Science的动态

Researchers from Penn State University, the Massachusetts Institute of Technology (MIT) (including the MIT Institute for Soldier Nanotechnologies), and North Carolina Agricultural and Technical State University have discovered a different version of the #HallEffect, called the nonreciprocal Hall effect, which, unlike the conventional Hall effect, does not require a #magnetic field. In this case, the Hall voltage is proportional to the square of the current instead of being proportional to the current. Also, unlike the conventional Hall effect, which is driven by a force induced by the magnetic field, the nonreciprocal Hall effect arises from flowing #electrons interacting with #platinum #nanoparticles. This discovery could lead to applications in the development of #quantum communication and harvesting of #energy via #RadioFrequencies. https://lnkd.in/ej-GCaJS (Work funded by the National Science Foundation (NSF) and the United States Department of Defense)

Scientists at Chalmers University of Technology have discovered key insights into 2D halide perovskites, which could revolutionize solar cell efficiency and stability. Using advanced simulations and machine learning, researchers studied the atomic structure of these materials and identified how organic molecules between perovskite layers affect their properties. Their findings offer a path to optimizing the design of perovskite-based devices for better performance under varying conditions. This breakthrough could help advance greener energy technologies, such as solar cells and LEDs. Please continue reading the full article under the link below: https://lnkd.in/gGFTxfKT -------------------------------------------------------- Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations: https://lnkd.in/eCb9Tanv #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

Mobile and stationary energy storage systems are fundamental in our modern society, being found everywhere, from mobile phones to electric vehicles and homes. There is increasing demand for cheaper, higher-capacity, longer-lasting, and faster-charging energy storage systems made from more environmentally friendly materials.? The challenge in improving these systems lies mainly in understanding phenomena happening on multiple length scales, ranging from the microscopic scale (nm scale) up to the mesoscopic scale (μm scale) and up to the macroscopic scale (mm scale). Hence, their complete description requires a holistic theoretical framework, which consistently couples the atomistic description of the nanoscale with the continuum description of the meso- and macroscopic scales.? Such theoretical models usually consist of coupled (nonlinear) partial differential equations, which must be solved using numerical simulations. However, even for small systems with little complexity, such simulations consume large amounts of computational resources, often beyond the capabilities of classical computers. Quantum computers offer a path forward for solving differential equations efficiently and adequately simulating these processes. EQUALITY will develop quantum mechanical solvers for differential equations to model whole batteries and fuel cells at the continuum level, providing a multiscale picture of their dynamics.? Access our website to learn more about how EQUALITY will contribute to the development of better energy storage devices for the transition towards a carbon-neutral economy: https://equality-quantum.eu #quantumcomputing #quantumtechnology #horizoneurope #innovation #research #engineering?? ? Pablo-David ROJAS, Ph.D. | Wael Yahyaoui | Andreas K?tter | Xavier Aubry | Panagiotis Barkoutsos | Gerd Büttner | Luis López de Vega | Vincent Baudoui | Michael Epping | J?rg Schuster | Harold Ollivier | Alfons Laarman | Kirill Shiianov | Franziska Wolff

Scientists at Chalmers University of Technology have discovered key insights into 2D halide perovskites, which could revolutionize solar cell efficiency and stability. Using advanced simulations and machine learning, researchers studied the atomic structure of these materials and identified how organic molecules between perovskite layers affect their properties. Their findings offer a path to optimizing the design of perovskite-based devices for better performance under varying conditions. This breakthrough could help advance greener energy technologies, such as solar cells and LEDs. Please continue reading the full article under the link below: https://lnkd.in/gs6jVj-p -------------------------------------------------------- Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations: https://lnkd.in/eRmYbj4x #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

Scientists at Chalmers University of Technology have discovered key insights into 2D halide perovskites, which could revolutionize solar cell efficiency and stability. Using advanced simulations and machine learning, researchers studied the atomic structure of these materials and identified how organic molecules between perovskite layers affect their properties. Their findings offer a path to optimizing the design of perovskite-based devices for better performance under varying conditions. This breakthrough could help advance greener energy technologies, such as solar cells and LEDs. Please continue reading the full article under the link below: https://lnkd.in/gs6jVj-p -------------------------------------------------------- Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations: https://lnkd.in/eRmYbj4x #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation

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

Graphene Power Plants: Swiss Scientists Harvest Electricity from Waste Heat Using Revolutionary Nanosized Generators Researcher Mickael Perrin and his team at Empa have unlocked a breakthrough technique for scavenging usable power from discarded thermal energy. Leveraging the unique quantum properties of graphene nanoribbons, they've designed miniature systems that tap into ambient heat to continuously generate electricity. Perrin combines his background in quantum electronics and nanofabrication to build these "nanoscale power plants." The graphene ribbons maintain quantum effects even at room temperature, granting thermoelectric abilities not seen before at such scales. Initial devices yield current directly from only modest heat differentials. But scaling promises vast applications wherever residual warmth is untapped, from electronic devices and industrial machinery to buildings themselves. Through elegant quantum control of nature's smallest constituents, Perrin illuminates a path to a more efficient, sustainable energy future. His award-winning work reveals graphene's vast potential beyond transistors, opening new vistas where the boundary between physics and engineering dissolves. Under Perrin's skilled hands, the frontiers of materials science birth tools empowering fundamental advance - pointing the way to revolutionizing how civilization interacts with its greatest resource: ubiquitous but until now untamed thermal energy wisping elsewhere untapped. #SRED #futuretech #innovation #RD #nanotechnology #JonIrwin #Grants #funding https://lnkd.in/gBZQy_mN

MIT researchers are breaking new ground in material science, as they have created a method to emulate electromagnetic fields on a 16-qubit superconducting quantum processor, opening doors to study complex material behaviors like conductivity and magnetism. Through the use of microwave signals to control qubit energy levels, they can simulate how electrons move in magnetic fields—providing new insights that traditional experiments can’t easily achieve. While challenges in qubit calibration remain, this work holds promise for breakthroughs in superconductivity and high-performance materials research. ???? #QuantumComputing #MIT #MaterialScience #Innovation

This article discusses a new approach to optical memory storage that leverages quantum defects and rare-earth elements for efficient, ultra-high-density data storage. Researchers from Argonne National Laboratory and the University of Chicago developed a theoretical model that uses narrow-band rare-earth emitters embedded in solid materials to store optical data. By combining quantum mechanical theories and first-principles analysis, they demonstrated the feasibility of high-density memory through near-field energy transfer, potentially paving the way for more compact, energy-efficient optical storage technologies in the future. Please continue reading the full article under the following link: https://lnkd.in/eR__fsmW #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation