Tandem design on electrocatalysts and reactors for electrochemical CO2 reduction

26-Mar-2025 - Electrochemical CO2reduction (ECR) driven by green electricity represents a promising strategy for CO2mitigation and utilization by producingfuels and chemicals. Tandem strategybased on multifunctional tandem catalysts or cascade reactors enables deep CO2reduction to high-value multi-carbon ...

Just take a photo to determine the chemical composition

Chemists use machine learning and robotics to identify chemical compositions from images

21-Mar-2025 - Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and artificial intelligence to analyze their data, they created a simple, ...

A 150-year-old problem resolved using AI

New approach enables precise predictions of the phase transition

18-Feb-2025 - Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that highly accurate and efficient predictions can now be made as to whether a substance will be liquid or gaseous under given conditions. They report their findings in the ...

ChatGPT, run my particle accelerator!

A first step towards a future in which complex scientific systems can be optimised simply by voice input

13-Feb-2025 - Do you sometimes find yourself thinking, ‘I wonder what ChatGPT has to say about this’? It has become common practice to consult artificial intelligence (AI) on a wide range of topics and problems. Scientists at DESY and the University of Hamburg have now asked this question with regard to ...

Not humans or robots, but humans and robots

A perspective for AI-driven self-controlled laboratories of the future

12-Feb-2025 - The urgent need for a transition to sustainable energy sources demands a significant acceleration of traditional research and development cycles. Self-driving labs (SDLs), powered by artificial intelligence (AI), could play a pivotal role in this transformation. In a perspective paper in the ...

Start-up boom thriving

In 2024, 37 new spin-offs were founded at ETH Zurich, a large proportion of them in the fields of AI and biotechnology.

04-Feb-2025 - With 37 new spin-offs, ETH Zurich continues its long-term upward trend in the launch of new companies from its research. Start-ups in the fields of artificial intelligence and biotechnology were particularly well represented. Artificial Intelligence and machine learning led the list with ten ...

How machine learning can help predict the spectral properties of materials

07-Jan-2025 - Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these parameters from scratch is sometimes possible but costs a lot of time and computational power. ...

Achieving better photovoltaic materials faster with AI

How machine learning greatly accelerates the search for new semiconducting molecules for perovskite solar cells

02-Jan-2025 - Perovskite solar cells are considered a flexible and sustainable alternative to conventional silicon-based solar cells. Within a period of a few weeks, researchers have now found new organic molecules that can be used to increase the efficiency of perovskite solar cells. The international team ...

Unlocking the Potential of Nickel

New Study Reveals How to use Single Atoms to Turn CO2 into Valuable Chemical Resources

03-Dec-2024 - A study published in Physical Review Letters by the Interface Science Department at the Fritz Haber Institute has unveiled new insights into the electrocatalytic reduction of CO2using nickel-based catalysts. The research, led by Dr. Janis Timoshenko and Prof. Dr. Beatriz Roldán Cuenya, marks a ...

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 ...