Chemistry & Physics
Updates every hour. Last Updated: 12-Nov-2025 07:11 ET (12-Nov-2025 12:11 GMT/UTC)
A novel strategy for highly selective ethanol synthesis from methane driven by light-driven transformation without reliability for reactive oxygen species
Chinese Chemical SocietyPeer-Reviewed Publication
Professor Zhongkui Zhao of Dalian University of Technology, in collaboration with Professor Riguang Zhang of Taiyuan University of Technology, Researcher Yuefeng Liu of the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Professor Ting Zhang of Qingdao University, and Professor Chunshan Song of the Chinese University of Hong Kong, constructed a single-atom Cu-N2O1 site with axial oxygen coordination on C3N4. Through the polar activation of the CH bond by the polar Cu-O bond, they successfully pioneered a new photocatalytic methane upgrading strategy independent of reactive oxygen species. This strategy not only significantly increased the rate of photocatalytic methane conversion to ethanol by 226 μmol/g/h under mild conditions, but also achieved an ethanol product selectivity as high as 98%. This achievement not only greatly advances the basic understanding of photocatalytic methane conversion to ethanol, but also creates a new paradigm for photocatalytic methane upgrading, successfully solving the seesaw dilemma between the liquid fuel generation rate and its selectivity in the photocatalytic methane conversion process, and providing new ideas and methods for the innovative development of future photocatalytic methane conversion. The article was published as an open access research article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.
- Journal
- CCS Chemistry
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Biochar Editorial Office, Shenyang Agricultural UniversityMeeting Announcement
Tiny diatoms, big climate impact: How microscopic skeletons rapidly shape ocean chemistry
Georgia Institute of TechnologyPeer-Reviewed Publication
- Journal
- Science Advances
- Funder
- U.S. National Science Foundation, U.S. National Science Foundation
Fractal-based metamaterial improves sound fields in car cabins
American Institute of PhysicsPeer-Reviewed Publication
The inherent directionality of speakers and complex shapes of car cabins can exacerbate sound disparities between the drivers and passengers, no matter how advanced a speaker system. In the Journal of Applied Physics, researchers create a prototype using a fractal to mitigate the sound differences. To create their metamaterial, they used precise molding to shape the fractal and then placed it over a car speaker. They measured the sound pressure levels at different seats in the car and found their disparity significantly decreased, including at higher frequencies.
- Journal
- Journal of Applied Physics
SwRI expands Metering Research Facility capabilities for hydrogen research and testing
Southwest Research InstituteBusiness Announcement
Causal machine learning reveals the impact of renewables on electricity prices
Tsinghua University PressPeer-Reviewed Publication
Do renewables always make power cheaper? In the UK, it depends on how much is on the system. Using causal machine learning on 2018–2024 market data, researchers find wind’s causal effect is U-shaped: at low penetration, +1 GWh can reduce prices by up to £7/MWh, the effect weakens mid-range, then strengthens again at higher penetration. The impacts have grown over time as renewables’ share rose, providing an evidence base for market design and support policy. These findings support adaptive support schemes and capacity planning that reflect changing marginal value rather than one-size-fits-all assumptions.
- Journal
- iEnergy