Researchers shifted the focus to the internal properties of the membrane itself, specifically its viscosity, highlighting its critical role in controlling deformation and dynamics during essential ...
A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function. Scientists from the University of Potsdam and the Max Planck Institute of ...
Researchers have demonstrated that new distance-based machine learning methods are capable of predicting structures and atomic dynamics of nanoparticles reliably. The new methods are significantly ...
Fábio AlmeidaNational NMR CenterFederal University of Rio de Janeiro An interview with Fábio Almeida, describing the work he does at the University of Rio de Janeiro in the National NMR Center, ...
Understanding how humans and AI or robotic agents can work together effectively requires a shared foundation for ...
Coronavirus disease 2019 (COVID-19) caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a significant threat to global public health. As of today, it has caused ...
An international team of researchers has developed a comprehensive manual for engineering spin dynamics in nanomagnets -- an important step toward advancing spintronic and quantum-information ...
Gain insight into fluid dynamics through numerical simulation. Go beyond theoretical analysis and experimental measurements with the power of reliable computational fluid dynamics (CFD) and heat ...