Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be extended to other compounds and properties. The present research findings can aid in the screening of surface properties of materials as well as in the development of functional materials.
Read more …A novel machine learning model for the characterization of material surfaces
A study showed that a genetic predisposition for higher muscle strength predicts a longer lifespan and a lower risk for developing common diseases. This is a highly comprehensive international study on hereditary muscle strength and its relationship to morbidity. The genome and health data of more than 340,000 Finns was used in the research.
Read more …Inherited predisposition for higher muscle strength may protect against common morbidities
A study suggests that people with diets high in seafood may face a greater risk of exposure to PFAS -- the family of human-made toxins known as 'forever chemicals' -- than previously thought. The researchers stress the need for more stringent public health guidelines that establish how much seafood people can safely consume to limit their exposure, particularly in coastal areas where seafood is frequently eaten.
Read more …PFAS exposure from high seafood diets may be underestimated