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Categories: Energy: Batteries, Mathematics: Modeling
Published 'The magic of making electricity from metals and air' The vexing carbonate has achieved it!



Team develops a high-energy, high-efficiency all-solid-state Na-air battery platform.
Published Tracking animals without markers in the wild



Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.
Published Research finds improving AI large language models helps better align with human brain activity



With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.
Published Renewable grid: Recovering electricity from heat storage hits 44% efficiency



Closing in on the theoretical maximum efficiency, devices for turning heat into electricity are edging closer to being practical for use on the grid, according to new research.
Published Iron could be key to less expensive, greener lithium-ion batteries, research finds



Chemistry researchers are hoping to spark a green battery revolution by showing that iron instead of cobalt and nickel can be used as a cathode material in lithium-ion batteries.
Published New milestone for lithium metal batteries



Scientists develop a porous structures for lithium metal batteries.
Published Batteries: Modeling tomorrow's materials today



Which factors determine how quickly a battery can be charged? Microstructural models have helped researchers discover and investigate new electrode materials. When sodium-nickel-manganese oxide is used as cathode material in sodium-ion batteries, simulations reveal modifications of the crystal structure during charging. These modifications lead to an elastic deformation, as a result of which capacity decreases.
Published How AI helps programming a quantum computer



Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study marks a significant step forward in unleashing the full extent of quantum computing.
Published Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act



Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.
Published Scientists use generative AI to answer complex questions in physics



Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.
Published Researchers wrestle with accuracy of AI technology used to create new drug candidates



Researchers have determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.
Published Carbon-capture batteries developed to store renewable energy, help climate



Researchers are developing battery technologies to fight climate change in two ways, by expanding the use of renewable energy and capturing airborne carbon dioxide. Researchers recently created and tested two different formulations for batteries that store renewable energy; when the energy is later used, an electrochemical reaction converts industrial carbon dioxide emissions into a solid form that has the potential to be used in other products.
Published Making batteries takes a lot of lithium: Some could come from gas well wastewater



A new analysis suggests that if it could be extracted with complete efficiency, lithium from the wastewater of Marcellus shale gas wells could supply up to 40% of the country's demand.
Published Wavefunction matching for solving quantum many-body problems



Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems. However, these methods reach their limits when so-called sign oscillations occur. This problem has now been solved using the new method of wavefunction matching.
Published Eco-friendly and affordable battery for low-income countries



A battery made from zinc and lignin that can be used over 8000 times. This has been developed with a vision to provide a cheap and sustainable battery solution for countries where access to electricity is limited.
Published Century of statistical ecology reviewed



A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.
Published New work extends the thermodynamic theory of computation



Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.
Published New machine learning algorithm promises advances in computing



Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.
Published AI advancements make the leap into 3D pathology possible



Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.
Published Disorder improves battery life



What determines the cycle life of batteries? And, more importantly, how can we extend it? An international research team has discovered that local disorder in the oxide cathode material increases the number of times Li-ion batteries can be charged and discharged.