Showing 20 articles starting at article 141
< Previous 20 articles Next 20 articles >
Categories: Energy: Batteries, Mathematics: Modeling
Published New all-liquid iron flow battery for grid energy storage



A new iron-based aqueous flow battery shows promise for grid energy storage applications.
Published Physicists develop modeling software to diagnose serious diseases



Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.
Published Crawfish could transfer ionic lithium from their environment into food chain



Lithium-ion rechargeable batteries are showing up in ever more devices, and the increasing use of this technology means more lithium is expected to find its way into the environment as a contaminant. In new research, a team has explored how this ion accumulates in a common Southern crustacean, the crawfish, with implications for the environment and public health.
Published Powerful new AI can predict people's attitudes to vaccines



A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Published Fast-charging lithium-sulphur batteries on the horizon



New research shows that the next generation of lithium-sulphur (Li||S) batteries may be capable of being charged in less than five minutes, instead of several hours as is currently the case.
Published New technique helps AI tell when humans are lying



Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.
Published Revolutionary method developed for mass-producing polymer solid electrolytes



Scientists have unveiled a groundbreaking technique for mass-producing polymer solid electrolytes, crucial components in batteries.
Published Vac to the future



Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.
Published AI for astrophysics: Algorithms help chart the origins of heavy elements



The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.
Published Researchers develop a new control method that optimizes autonomous ship navigation



Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.
Published Batteries for airborne electric vehicles that take off and land vertically



Researchers are taking cleaner transportation to the skies by creating and evaluating new batteries for airborne electric vehicles that take off and land vertically. Researchers are developing new energy-dense materials, learning how these materials degrade under extreme conditions, and developing battery control systems.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns



Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Balancing training data and human knowledge makes AI act more like a scientist



When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.
Published Method rapidly verifies that a robot will avoid collisions



A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Healable cathode could unlock potential of solid-state lithium-sulfur batteries



Engineers developed a cathode material for lithium-sulfur (Li-S) batteries that is healable and highly conductive, overcoming longstanding challenges of traditional sulfur cathodes. The advance holds promise for bringing more energy dense and low-cost Li-S batteries closer to market.
Published Running performance helped by mathematical research



A new mathematical model has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimized training.
Published New AI model draws treasure maps to diagnose disease



Researchers have developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.
Published Unlocking the potential of lithium-ion batteries with advanced binders



Lithium-ion batteries employ binders that encounter challenges such as poor conductivity and expansion during charging. In a recent study, scientists have developed a high-performing binder using poly(vinylphosphonic acid) for silicon oxide-based anodes in lithium-ion batteries. This binder offers enhanced performance as demonstrated by the superior durability, and discharging capacity of the anodes compared to conventional options. With patents filed internationally, this technology holds promise for broader applications in electric vehicles and beyond.
Published Lithium-ion batteries from drones might find second lives in less 'stressful' devices



Taking flight can be stressful -- especially for a lithium-ion battery that powers a drone. Too much strain on these cells causes damage and shortens a device's overall lifespan. Research shows the potential to improve batteries in aerial electric vehicles that take off and land vertically. The team developed a new electrolyte to address these challenges and said the 'stressed out' batteries could also have second lives in less strenuous applications.
Published Imaging grain boundaries that impede lithium-ion migration in solid-state batteries



A research team has developed a new technique to image grain boundaries obstructing lithium-ion migration in solid-state batteries -- a promising type of next-generation battery.