Science & Environment
Designing better adsorbents to remove PFAS from water
Source: Phys.org - latest science and technology news stories · Published
A review by Tohoku University researchers identifies key molecular features that could guide the development of more effective materials for removing PFAS from water. The study is published in the journal ACS Materials Au.
A review by Tohoku University researchers identifies key molecular features that could guide the development of more effective materials for removing PFAS from water. The study is published in the journal ACS Materials Au.
Related stories
Alaska’s monster tsunami sent water 1,580 feet up a mountain
A massive landslide in Alaska triggered the second-highest tsunami ever recorded, sending water and debris 1,580 feet up a mountainside just hours after tourists visited the area. Scientists discovered that the disaster was preceded by several warning signs, including rapid glaci
All Top News -- ScienceDaily ·
Counting magnetic flux quanta offers new way to measure photon numbers
Researchers at AIST have directly observed magnetic flux quanta generated in a superconductor by photon absorption and demonstrated a new principle of photon detection that identifies the number of photons based on the number of these flux quanta.
Phys.org - latest science and technology news stories ·
Storm Austen brings power cuts and travel disruption as more wind and rain forecast
A second storm, Storm Boelo, is expected to hit Scotland, Northern Ireland and northern England on Saturday bringing more wild weather.
feeds.bbci.co.uk ·
'It's pretty toxic… but just a little, I want to be like that': What young men think of manosphere content
Masculinity content promises young men self-optimization and success, but often delivers health harms, risk-taking, unattainable standards, gender stereotypes and misogyny. The latter is the strongest predictor of violent extremism.
Phys.org - latest science and technology news stories ·
Scientists demonstrate AI-designed enzyme for drug synthesis
The new RFD4-Proteina unified generative model for protein design—created by the Institute for Protein Design (IPD) in collaboration with NVIDIA—uses advanced AI to generate entirely new protein sequences and structures, achieving computational design success rates five to 10 tim
Phys.org - latest science and technology news stories ·