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.
US invests $31m to advance renewable geothermal energy technologies
The US has announced an investment of up to $31m to support six innovative renewable geothermal energy projects across the country.
Revolutionising ore body analysis with ELEMISSION’s ECORE LIBS drill core scanner
Discover how ELEMISSION’s ECORE LIBS drill core scanner provides detailed mineralogy and textural information rapidly.
Achieving climate and environmental goals amidst a ‘polycrisis’
Read the key takeaways from a recent European Environment Agency report outlining the actions needed to meet climate and environmental goals.
CERN’S CMS experiment unlocks a new era of precision physics
CERN’s Aleko Khukhunaishvili details the latest developments from the CMS experiment at the Large Hadron Collider.
The North American battery metals supply chain: Challenges, collaborations, and innovations
We explore the North American Battery Metals supply chain, considering the challenges faced by the sector and the importance of collaboration.
Navigating the global agricultural trade landscape: Policies, collaborations, and sustainability
How does agricultural trade need to change to reflect new challenges globally, from climate change to population growth?
2025: The international year of quantum science and technology
This year, the United Nations proclaimed 2025 as the International Year of Quantum Science and Technology. Discover more here.
The Critical Minerals Pragmatist newsletter by Olimpia Pilch: Exploring China’s tightening grip on antimony...
Introducing the latest edition of The Critical Minerals Pragmatist, by Olimpia Pilch, exploring China's antimony restrictions and more.
Electric bus market to grow by $50bn over the next decade
Discover how the electric bus market is rapidly growing, set to transform global public transportation by 2034.
Neural networks tackle one of the most difficult challenges in quantum chemistry
New research using neural networks proposes a solution to the tough challenge of modelling the states of molecules.










