Innovation News Network brings you the latest research and innovation news from the fields of science, environment, energy, critical raw materials, technology, and electric vehicles.
Venus analogues used to gain insights into Earth’s future
Researchers have compiled a list of Venus analogues to gain valuable insights into Earth’s risk of developing a runaway greenhouse climate.
UK Government announces International Technology Strategy to become a global tech superpower
The UK Government has unveiled a new International Technology Strategy to accelerate ambitions of becoming a global tech superpower.
Neutrino discovery made by a particle collider in scientific first
Scientists have made a neutrino discovery using a first-of-its-kind particle collider to deepen their particle understanding.
New materials developed for green hydrogen production
Researchers from the University of Twente have developed a new material that could be used for green hydrogen production.
How do supernovae impact biodiversity?
Scientists have discovered that the number of supernovae has followed changes in marine genera biodiversity over the last 500 million years.
EIT RawMaterials launches initiative to tackle steel decarbonisation
Steel's manufacturing process is estimated to produce around 8% of total global carbon emissions. Therefore, steel decarbonisation is vital.
Does daylight saving time result in lower energy consumption?
When clocks go forward by one hour, as they do every Spring, debates occur about whether or not we should eliminate daylight saving time.
Relativistic jets found to impact star formation
Researchers have discovered that the Teacup galaxy is the ideal case to study the effects of relativistic jets on star formation.
Product stewardship scheme to unlock Australian solar panel recycling economy
Read how a comprehensive product stewardship scheme in Australia may optimise the country’s solar panel recycling industry.
Potential to locate life on Mars with Artificial Intelligence
Researchers have found that AI can help identify hidden patterns within geographical data that could indicate life on Mars.