Why western carmakers' retreat from electric risks dooming them to irrelevance
Western automakers are losing ground to China in the shift to electric vehicles, risking their future relevance as the world transitions to cleaner transportation.
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Energy
Energy generation, storage, and grids.
Latest
How BYD Got EV Chargers to Work Almost as Fast as Gas Pumps
Chinese electric vehicle maker BYD has developed an ultra-fast EV charger that can charge vehicles nearly as quickly as filling up a gas tank, potentially easing one of the biggest barriers to wider EV adoption.
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The improved battery-powered Starlink Mini is here
Starlink Mini's improved battery extends remote internet access, allowing more people to work and live in areas lacking traditional connectivity.
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The Optimal Reset-Hour of a Once-Daily Petrol Price Increase Limit
A government is considering limiting gas price increases to once per day. Researchers found the best time for the daily price reset is crucial to keeping prices down for drivers throughout the day.
preprint
High-Frequency Gravitational Waves from Phase Transitions in Nascent Neutron Stars
New evidence suggests that when massive stars explode as supernovae, their dense cores may briefly transition to a state of deconfined quark matter, emitting a burst of high-frequency gravitational waves that could be detected by next-generation observatories.
preprint
Robotic Agentic Platform for Intelligent Electric Vehicle Disassembly
Researchers have developed a robot system to automatically disassemble electric vehicle batteries, which could make recycling these batteries faster and more efficient as electric cars become more common.
preprint
Microwave Vortex Motion Characterization of Nb$_3$Sn Coatings for Applications in High Magnetic Fields
Researchers found a new way to measure properties of a superconducting material called Nb3Sn, which could lead to improvements in high-powered magnets used in scientific research and medical equipment.
preprint
On Additive Gaussian Processes for Wind Farm Power Prediction
Researchers developed a new machine learning model to better predict wind farm power output, which could help make renewable energy more reliable and affordable for people.
preprint
QCD and electroweak phase transitions with hidden scale invariance: implications for primordial black holes, quark-lepton nuggets and gravitational waves
Researchers found that a hidden scale invariance in particle physics could explain the formation of primordial black holes, quark-lepton nuggets, and gravitational waves - phenomena that may have shaped the early universe.
preprint
Elusive ‘nuclear clocks’ tick closer to reality — after decades in the making
Scientists have developed highly accurate 'nuclear clocks' that could be tested soon, which could lead to more precise timekeeping and navigation for everyday devices and applications.
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A new Nintendo Switch 2 could be the poster child for replaceable batteries
The new Nintendo Switch 2 will allow users to replace the battery themselves, in order to comply with upcoming EU rules. This means Switch 2 owners won't have to send in their console for battery replacement.
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These electronic Polaroids are powered by your phone’s NFC chip
Scientists have created digital photo frames that can be powered directly by a smartphone's NFC chip, allowing people to easily display digital photos without the need for batteries or wires.
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Anker’s Qi2 MagGo Power Bank is down to its best price in months
Anker's new portable power bank is on sale for a discounted price, making it an affordable option for people who need to charge their phones while on the go.
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Anker’s Qi2 MagGo Power Bank is down to its best price in months
Anker's MagGo power bank is currently on sale for nearly $20 off, making it a good affordable option for people who need a portable charger to keep their smartphone powered up while out and about.
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Innovative recycling method can convert waste PET into high-quality raw materials and clean hydrogen
A new recycling method can convert used plastic bottles into high-quality raw materials and clean hydrogen fuel, potentially reducing waste and providing a sustainable source of materials.
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Innovative recycling method can convert waste PET into high-quality raw materials and clean hydrogen
Researchers have developed a new recycling method that can convert waste plastic bottles into high-quality raw materials and clean hydrogen fuel, reducing plastic waste and providing a sustainable energy source.
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Google’s battery-powered Nest Doorbell is $40 off right now
Google's battery-powered Nest Doorbell is $40 off, making it more affordable for people to get a convenient, peace-of-mind home security device.
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Rising Attacks on Power Grids Push Utilities to Prepare
Cyberattacks are increasingly targeting power grids, forcing utilities to bolster defenses against threats like vandalism and drone strikes to keep the lights on during emergencies.
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ALICE sees new sign of primordial plasma in proton collisions
The ALICE experiment has found possible signs of an extremely hot, dense state of matter similar to what existed right after the Big Bang, suggesting even smaller collisions between protons can produce these conditions. This provides new clues about the early universe.
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In Focus in this category
Physics-informed neural network for predicting fatigue life of unirradiated and irradiated austenitic and ferritic/martensitic steels under reactor-relevant conditions
Researchers developed a neural network model that can predict how nuclear reactor materials like steel will withstand wear and tear over time, which helps ensure reactor safety and longevity.
preprint
Triple-junction solar cells with improved carrier and photon management
Researchers made solar cells more efficient by improving how they capture and manage light and electrical charges. This could lead to cheaper, more accessible solar power for homes and businesses.
peer reviewed
On Additive Gaussian Processes for Wind Farm Power Prediction
Researchers developed a new machine learning model to better predict wind farm power output, which could help make renewable energy more reliable and affordable for people.
preprint
Planar Li deposition and dissolution enable practical anode-free pouch cells
Researchers developed a new battery design that can store energy without a traditional anode. This could lead to safer, lighter, and more energy-dense batteries for electric vehicles and portable electronics.
peer reviewed
Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing
A new machine learning system can plan more fuel-efficient maritime shipping routes, helping reduce greenhouse gas emissions from international transportation.
preprint
Robotic Agentic Platform for Intelligent Electric Vehicle Disassembly
Researchers have developed a robot system to automatically disassemble electric vehicle batteries, which could make recycling these batteries faster and more efficient as electric cars become more common.
preprint
The Optimal Reset-Hour of a Once-Daily Petrol Price Increase Limit
A government is considering limiting gas price increases to once per day. Researchers found the best time for the daily price reset is crucial to keeping prices down for drivers throughout the day.
preprint
Direct Inference of Nuclear Equation-of-State Parameters from Gravitational-Wave Observations
Gravitational wave observations of merging neutron stars can provide insights into the inner workings of these dense objects, shedding light on the fundamental physics of extreme matter.
preprint
Verification and Validation of Physics-Informed Surrogate Component Models for Dynamic Power-System Simulation
Researchers developed AI models to simulate power grid components, which could make it faster and easier to model the electricity grid. This could help engineers better predict and manage the grid as renewable energy becomes more common.
preprint
Planar Li deposition and dissolution enable practical anode-free pouch cells
Planar lithium metal deposition could enable practical anode-free batteries, which would be lighter and have higher energy density than current lithium-ion batteries.
peer reviewed
Cleaner energy microgrids under market power and limited regulation in developing countries
In some low-income countries, locally-owned diesel microgrids often exploit customers due to lack of regulation, harming people's health and the environment. Transitioning to cleaner, regulated community microgrids could improve energy access and sustainability.
preprint
Practical lithium–organic batteries enabled by an n-type conducting polymer
Scientists have developed a new type of battery using a polymer material that can store and release lithium efficiently, allowing for safer and more reliable batteries across a wide range of temperatures.
peer reviewed
On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning
Federated learning can help accurately forecast electricity demand from electric vehicles, which is important for planning power grid infrastructure and managing renewable energy sources.
preprint
Hydrofluorocarbon electrolytes for energy-dense and low-temperature batteries
Researchers developed a new type of electrolyte that allows lithium-metal batteries to store more energy and operate in colder temperatures, potentially enabling longer-lasting and more capable portable electronics and electric vehicles.
peer reviewed
Microwave Vortex Motion Characterization of Nb$_3$Sn Coatings for Applications in High Magnetic Fields
Researchers found a new way to measure properties of a superconducting material called Nb3Sn, which could lead to improvements in high-powered magnets used in scientific research and medical equipment.
preprint
A response-matrix-centred approach to presenting cross-section measurements
New method makes it easier to understand particle interactions and cross-section data, which is important for improving the accuracy of particle physics experiments and simulations.
preprint
Giant energy storage and dielectric performance in all-polymer nanocomposites
Researchers created a new kind of polymer material that can store a lot of energy, which could lead to improved batteries and energy storage devices for homes and electric vehicles.
peer reviewed
Surrogate Modeling for Neutron Transport: A Neural Operator Approach
Researchers developed a new neural network model that can quickly predict how neutrons move in nuclear reactors, potentially improving safety and efficiency.
preprint
Tracking the Lithiation State of Li$_x$Si from Machine-Learned XPS Binding Energies
Researchers have developed a new machine learning technique to accurately track the charging state of silicon in lithium-ion batteries, which could help improve battery performance and safety.
preprint