Archived Intelligence
Researchers have developed a deep learning model that identifies species in environmental samples even when they are missing from reference databases. By utilising phylogenetic structures and species co-occurrence, the system automates taxonomic assignment with 24% accuracy for unseen organisms.
Researchers have engineered a microexplosive reactor that disperses metal atoms in milliseconds, solving the historic trade-off between thermal activation and aggregation. This method slashes energy consumption by 98% while boosting catalytic performance by orders of magnitude compared to traditional benchmarks.
Researchers have proposed a unified mathematical framework that modifies gravity with a logarithmic correction. This single adjustment appears to resolve black hole singularities and explain galactic rotation speeds without requiring invisible dark matter.
Researchers propose that key proteins within the nucleus behave like block copolymers, forming precise microphases through attraction and repulsion. This biophysical model suggests a structural logic behind the assembly of RNA processing machinery.
Researchers have optimised an imaging technique to view deep brain structures without surgical damage. This allows for the observation of neural stem cells in their natural environment.
A new quantum electrodynamical model bridges the gap between classical wave amplification and quantum phase transitions. The research demonstrates how light accelerates in synthetic space and drives atoms into a unique mixed state, offering fresh pathways for controlling light-matter interactions.
Researchers have successfully induced magnetic properties in inert metals like gold and platinum by layering them over ferromagnetic alloys. This structural innovation allows for the manipulation of electron spin to boost chemical reaction rates, effectively bypassing traditional energy limitations in catalysis.