Articles tagged with Conservation Of Energy
A new method for extracting hydrogen from hydrogen-methane blends has been developed, enabling fast, convenient separation and long-term storage of hydrogen without loss or degradation. The technology utilizes a low-cost metal hydride material and can separate hydrogen from a methane blend at low temperature and pressure.
Researchers at UT San Antonio have found a way to create tiny clusters of disordered atoms that move oxygen ions more easily at lower temperatures, boosting fuel cell efficiency and durability. The breakthrough could help make fuel cells cheaper, more durable and easier to use outside the lab.
Researchers propose a data-driven forecasting approach to predict DER adoption patterns and quantify uncertainty for more informed decision making. The framework provides plausible adoption scenarios, enabling utilities, regulators, and planners to make strategic investments and plan for long-term infrastructure needs.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
Researchers have developed a new kind of point-of-load converter to step down power from 48 volts to 1 volt, achieving higher efficiency and faster power delivery. This technology could significantly reduce energy consumption and thermal stress in AI data centers.
Researchers applied bioenergetic approach to evaluate competing theories about Hannibal's crossing, focusing on war elephants' energy demands. The study supports the Col de la Traversette as the more likely route, with an estimated energy cost of 5.42 TJ for the whole army.
A review in Engineering highlights advances in sorption-enhanced catalytic hydrogenation of carbon oxides, improving reaction efficiency with selective water vapor removal. Zeolites and fixed-bed reactors are studied for their potential in this technology.
The study focuses on the Lamm-Riviere system, a fourth-order geometric elliptic system including both extrinsic and intrinsic biharmonic maps into manifolds. Researchers investigated the inhomogeneous Lamm-Rivireè system and proved the angular energy identity for this system.
Lanzhou Jiaotong University researchers developed a droplet-based energy harvesting technology that converts secondary wastewater effluents into electricity. The system achieved high output performance and successfully powered LED lights, demonstrating its practical energy harvesting capability.
University of Missouri researchers develop organic transistors that process information like biological neural networks, boosting brain-like computing and potentially leading to more energy-efficient artificial intelligence. The approach could lead to significant improvements in tasks such as pattern recognition and decision-making.
Researchers developed an energy-saving control strategy for intelligent connected plug-in hybrid electric vehicles that incorporates driving-intention identification of the vehicle ahead. The approach optimizes speed, improves energy economy, and maintains comfort and safety by anticipating front-vehicle behavior.
Researchers develop hybrid photocatalyst system to overcome light-induced damage in molecular catalysts, significantly improving CO2-to-formate quantum yield from 6% to over 27%. The new design ensures selective excitation of semiconductors and prevents unwanted photochemical reactions.
Researchers have discovered a new solid-state hydrogen carrier called layered hydrogen silicane (L-HSi) that can release hydrogen under ambient temperature and pressure. L-HSi exhibits high gravimetric hydrogen capacity and is stable, making it a promising alternative to conventional hydrogen storage systems.
Researchers from Hanbat National University develop switchable thermochromic transparent woods for smart windows, blocking UV radiation and reducing thermal conductivity. The material enables energy-autonomous light regulation and protects skin without sacrificing visible light.
Researchers develop a method to tune thermal conductivity in thin films using femtosecond lasers, achieving unprecedented throughput and nanoscale resolution. The technique enables laboratory-scale precision and industrial-scale production of phononic nanostructures.
A study by MIT researchers examines two policy approaches to expanding the US electricity grid: one focusing on regions with more renewable energy sources and another creating more interconnections across the country. The study found that a geographically unbalanced grid buildout would be less expensive, while reducing carbon emissions...
A Kobe University team has introduced a new method using deep learning for creating tailored simulations that respect physical laws while being computationally efficient. The approach shows superior accuracy in simulating diverse physical systems, including those with chaotic behavior.
The team created a specialized two-dimensional thin film dielectric designed to replace traditional heat-generating components in integrated circuit chips. This breakthrough aims to reduce the significant energy cost and heat produced by high-performance computing necessary for AI.
Researchers at USC Viterbi School of Engineering have developed artificial neurons that physically embody the analog dynamics of biological brain cells. These innovations will allow for significant reduction in chip size and energy consumption, potentially advancing artificial general intelligence.
A meta-analysis of 100 studies across psychology, sociology, economics, and engineering found that positive attitudes toward conserving electricity are key to saving energy. Individuals who think others expect them to conserve power and have pro-environmental habits tend to save more energy.
A major new study proves that hydropower is a leading force in cutting carbon emissions, with the potential to reshape sustainable development in Southeast Asia. The study found that as hydropower consumption increases, CO2 emissions drop significantly, while reliance on fossil fuels drives emissions upward.
The team's two-step high-temperature hydrogen annealing process improves both performance and reliability, effectively removing defects and expanding the operational voltage range.
Scientists at Virginia Tech mimic the natural movement of boulders on Racetrack Playa by creating a metal surface with asymmetric grooves that propel melting ice. The discovery has potential applications in rapid defrosting and energy harvesting.
Researchers developed a borate-water-based electrolyte that enables safe, fast-charging lithium-ion batteries under ambient conditions. The new technology also offers direct recycling of active materials through water dispersal, ensuring a sustainable approach to battery production.
Researchers developed a white organic light-emitting diode that operates at an unprecedentedly low voltage of less than 1.5 volts. This breakthrough could contribute to reducing energy consumption in state-of-the-art displays, including television backlights and lighting devices.
Researchers at Institute of Science Tokyo discovered that metal sulfides with seven to eight d electrons show superior catalytic activity. This volcano-shaped relationship provides guidelines for designing more effective catalysts, accelerating the development of efficient water-splitting catalysts for green hydrogen production.
Researchers at Carnegie Mellon University analyze historical U.S. carbon emissions trends, identifying factors that contributed to changes and offering lessons for developing countries. The study suggests that investing in efficient technologies and avoiding overreliance on coal can help avoid pitfalls encountered by the United States.
Researchers at the University of Minnesota have developed a new material called Ni₄W that can generate spin currents to control magnetization in electronic devices. This material has the potential to significantly reduce power usage in devices like smartphones and data centers.
A new method automates identification of energy loss origin in electrical steel, addressing a pressing challenge in magnetics. The approach successfully traces iron loss to magnetic domain structure.
Researchers developed Group Encoding (GE) to forecast electricity demand using On/Off device status, improving prediction accuracy and efficiency in smart energy operation. The method simplifies complex datasets while retaining key information for optimal energy management.
Researchers developed AI-created thermal meta-emitters that can selectively emit heat at various levels, making them ideal for energy efficiency. These materials were found to be up to 20 degrees Celsius cooler than commercial paints in a four-hour exposure to direct sunlight.
Researchers at UC Santa Barbara have found that in 2D semiconductors, the interactions between electrons and phonons can conserve momentum and energy, leading to efficient hydrodynamic flow behavior. This discovery has significant implications for designing highly efficient electrical conductivity materials, even at room temperature.
PairMap overcomes limitations of traditional methods by introducing intermediate compounds to predict binding affinities with high accuracy. The approach minimizes calculation errors, improves convergence, and reduces computational costs for complex transformations.
A new device called computational random-access memory (CRAM) reduces energy consumption for artificial intelligence applications. CRAM enables true computation in and by memory, breaking down the bottleneck in traditional computing architecture.
University of Texas at Dallas researchers develop AI model that can automatically reroute electricity in milliseconds to prevent power outages. The system uses machine learning to map complex relationships between entities in a power distribution network, enabling faster response times than human-controlled processes.
Researchers visualize chiral interface state at atomic scale for the first time, allowing on-demand creation of conducting channels. The technique has promise for building tunable networks of electron channels and advancing quantum computing.
Researchers at the University of Cambridge have developed a new type of computer memory that can process data in a way similar to the human brain. This technology uses hafnium oxide and tiny self-assembled barriers to store and process information, enabling greater density, higher performance, and lower energy consumption.
A team at the University of Minnesota discovered a way to control heat flow in materials 'on the fly' using a simple process. This record-setting discovery could lead to developing more energy-efficient and durable electronic devices.
Designing low-carbon multi-storey buildings requires focusing on efficient shapes, structural frames, limited window sizes, and ventilation with heat recovery. The study found that these elements can save up to six gigatonnes of carbon by 2050 and reduce annual heating and cooling costs by 28-44%.
Researchers at Idaho National Laboratory developed a simple acid treatment to improve the efficiency of protonic ceramic electrochemical cells (PCECs), overcoming long-standing challenges. The treatment increases the surface area between the electrode and electrolyte, allowing for more efficient flow of hydrogen atoms and improved cell...
Scientists developed an all-season smart-roof coating that automatically switches between cooling and heating, outperforming commercial cool-roof systems in energy savings. The technology uses vanadium dioxide to regulate its rate of radiative cooling, overcoming the problem of overcooling in winter.
A national network has been launched to promote understanding of planetary limits, envision scenarios for humanity to thrive within limits, and advise governments on developing effective responses. The essay warns that current economic growth, energy use, and resource consumption will overshoot Earth's finite limits if not addressed.
Researchers have found exotic topological features in soft matter, a discovery that challenges our understanding of physics. The study reveals that such features are widespread and can be observed in everyday environments, including living organisms.
The University of Tennessee Institute of Agriculture is developing a 'fresh electric farm' to produce nutritious crops in controlled environments, reducing carbon footprints. The first crop being studied is kale, grown in a storage container under bright LED lights.
A research team investigated the possibility of negative energy in quantum physics, finding that while energy can be less than zero under certain conditions, it must be paid back. The study placed tight bounds on negative energy and connected it to quintessential properties of quantum mechanics.
A quantum system's configurations oscillate endlessly without relaxation, unlike classical physics where equilibrium is the norm. Researchers discovered that these systems are extremely robust and exist on a discrete grid, influencing non-local effects.
The study suggests that tree-like structures in lungs minimize energy losses and optimize proximity to alveoli, allowing efficient oxygen delivery. This evolutionary process led to the development of mammalian respiration, distinct from fish-style breathing.
A new study explores how 'Energy Theater' helps learners understand complex physics ideas, including energy flow and conservation. The activity allows students to personify energy and visualize its changes in a dynamic system.
Researchers found that pion decays would produce superluminal neutrinos only if energy and momentum were conserved. However, the OPERA experiment's results cannot be replicated under current physics. The creation of high-energy neutrinos is also supported by observations from IceCube.
The American Institute of Aeronautics and Astronautics (AIAA) will present technical achievement awards to recognize outstanding contributions in aerospace power systems and energy efficiency. Edward M. Gaddy and Essam Khalil are among the recipients, honored for their work on space photovoltaics and energy-efficient combustors.
Researchers have rewritten Kirchhoff's current law to accommodate the unique properties of the transistor laser, enabling better understanding of photons, electrons, and semiconductors. The modified law fits data from the device, predicting properties for integrated circuits and supercomputing applications.
A team of researchers using the XMM Newton satellite detected X-ray emissions from a supermassive black hole, indicating it is spinning and emitting energy through a complex magnetic field system. This discovery provides new insights into the behavior of supermassive black holes and their role in galaxy formation.