Metal oxyhydroxides are nanoparticles with wide industrial applications, but determining their exact structure is often challenging. Recently, a research team from the Japan Advanced Institute of Science and Technology has developed an advanced imaging method called “lattice correlation analysis” to reveal the detailed 3D atomic structure of titanium oxyhydroxide nanoparticles. By leveraging data-driven insights, this method unlocks the crystal attributes without causing any damage, thus marking a milestone in the study of sensitive nanomaterials.

A new study, seen in Nature Genetics and led by researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) and Wageningen University & Research (the Netherlands), provides new insights on rice evolution, showing how the DNA of this valuable crop has changed across species. The findings are expected to not only help with improving rice yields but also with the introduction of rice into regions where rice production is currently untenable. 

Scientists at Columbia Engineering have created a machine learning algorithm that can observe the pattern produced by nanocrystals to infer the material’s atomic structure, as described in a new study published in Nature Materials.

Researchers from AIMR developed an AI-driven approach to model carbon growth on metal surfaces with high accuracy. By integrating molecular dynamics, time-stamped force-biased Monte Carlo simulations, and machine learning, their method replicates key processes like carbon diffusion and graphene nucleation, enabling scalable, efficient carbon nanomaterial production for electronics and energy storage.

The power conversion efficiency of all-organic solar cells was doubled through the development of novel organic electrodes that can be fabricated using a moderate process.

For almost 60 years, measuring cholesterol levels in the blood has been the best way to identify individuals at high risk of cardiovascular disease. In a new study, led by Chalmers University of Technology in Sweden and Harvard University in the USA, researchers have shown comprehensively that a combination of two lipoprotein markers, measured in a simple blood test, can give more accurate information about individual risk of heart disease than the current blood cholesterol test, potentially saving lives.

This study investigated the effects of taurine supplementation on whole-body protein metabolism, including synthesis, degradation, turnover, and net accretion, using growing beef steers as model animals. The results demonstrated that taurine administration significantly enhanced both body protein synthesis and degradation rates, thereby increasing overall protein turnover. Furthermore, taurine supplementation was found to promote positive protein accretion. These findings suggest that maintaining adequate taurine intake in humans may enhance protein renewal processes, potentially improving cellular vitality and overall health.