Leveraging machine learning to find promising compositions for sodium-ion batteries

Researchers optimize the composition of a multi-element transition metal oxide to achieve exceptional energy density in sodium-ion batteries

07-Nov-2024 - Energy storage is an essential part of many rapidly growing sustainable technologies, including electric cars and renewable energy generation. Although lithium-ion batteries (LIBs) dominate the current market, lithium is a relatively scarce and expensive element, creating both economic and supply ...

Early detection makes batteries safer

TU Darmstadt and MIT develop methods for monitoring with machine learning

05-Nov-2024 - The safe use of lithium-ion batteries, such as those used in electric vehicles and stationary energy storage systems, critically depends on condition monitoring and early fault detection. Failures in individual battery cells can lead to serious issues, including fires. To mitigate these risks, ...

Machine learning can predict the mechanical properties of polymers

A machine learning algorithm can use X-ray diffraction data from polymers to predict the behaviour of new materials

30-Oct-2024 - Polymers such as polypropylene are fundamental materials in the modern world, found in everything from computers to cars. Because of their ubiquity, it’s vital that materials scientists know exactly how each newly developed polymer will perform under different preparation conditions. Thanks to a ...

A “chemical ChatGPT” for new medications

AI learns chemical connections

25-Oct-2024 - Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model – a kind of ChatGPT for molecules. Following a training phase, the AI was able to exactly reproduce the chemical ...

Bubble findings could unlock better electrode and electrolyzer designs

A new study of bubbles on electrode surfaces could help improve the efficiency of electrochemical processes that produce fuels, chemicals, and materials

14-Oct-2024 - Industrial electrochemical processes that use electrodes to produce fuels and chemical products are hampered by the formation of bubbles that block parts of the electrode surface, reducing the area available for the active reaction. Such blockage reduces the performance of the electrodes by ...

Nobel Prize in Physics for foundational discoveries and inventions in machine learning

John J. Hopfield and Geoffrey E. Hinton trained artificial neural networks using physics

08-Oct-2024 - The Royal Swedish Academy of Sciences has decided to award the Nobel Prize in Physics 2024 to John J. Hopfield (Princeton University, NJ, USA) and Geoffrey E. Hinton (University of Toronto, Canada) “for foundational discoveries and inventions that enable machine learning with artificial neural ...

How much microplastic are you drinking?

New tool can tell you in minutes

29-Aug-2024 - Micro- and nanoplastics are in our food, water and the air we breathe. They are showing up in our bodies, from testicles to brain matter. Now, University of British Columbiaresearchers have developed a low-cost, portable tool to accurately measure plastic released from everyday sources like ...

A "molecular" compass shows the way to reducing animal testing

Scientists develop intelligent software tool for assessing chemical risks

22-Aug-2024 - In recent years, machine learning methods have become increasingly important for the risk assessment of chemical compounds. However, they are also a "black box" due to a lack of traceability and transparency, which leads to skepticism among experts and regulatory authorities. In order to increase ...

Engineers develop general, high-speed technology to model, understand catalytic reactions

08-Aug-2024 - Researchers have been studying the industrial production of ammonia for a century. But they’ve struggled to find ways to improve the low-yield, low-efficiency process. Atmospheric nitrogen, with the aid of an iron catalyst, reacts with hydrogen to produce ammonia. That reaction produces lots of ...

Graz University of Technology Revolutionises Simulation of Metal-Organic Frameworks (MOFs)

More efficient search for desired properties

07-Jun-2024 - Due to the complex structures of microporous crystals known as MOFs, reliable simulations of their properties have been difficult until now. Machine learning provides the solution. Hydrogen storage, heat conduction, gas storage, CO2 and water sequestration – metal-organic frameworks (MOFs) have ...