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Machine learning helps farmers use biochar more precisely to manage soil phosphorus

A new study uses machine learning to predict how pristine biochar affects soil phosphorus availability under different conditions. The model identifies key factors such as pyrolysis temperature and application rate that influence phosphorus regulation, suggesting a more precise approach to biochar use.

SourceBiochar Editorial Office, Shenyang Agricultural University·JournalBiochar·TypeExperimental study·DateMay 25, 2026

Atomic-level diamond surface polishing with high quality, efficiency, and material removal rates

A new photocatalytic chemical mechanical polishing (PCMP) slurry has been developed for Single Crystal Diamond (SCD) polishing, resulting in exceptionally smooth surfaces with minimal damage. The Material Removal Rate (MRR) peaks at 1168 nm·h−1, emphasizing the efficiency and effectiveness of this advanced polishing technique.

SourceInternational Journal of Extreme Manufacturing·JournalInternational Journal of Extreme Manufacturing·DateFeb 13, 2025

New research from Pusan National University sheds light on nature of friction in multi-layered graphene

A study by researchers at Pusan National University has investigated the relationship between surface structures and nanoscale friction in multi-layered CVD graphene. They found that only the top-most layer of graphene was twisted with respect to the rest, affecting layer-dependent nanoscale friction.

SourcePusan National University·JournalApplied Surface Science·TypeExperimental study·DateMar 9, 2022