The prediction of properties of molecules and materials requires both quantum-chemical accuracy combined with large length- and time-scales. We proposed a deep learning approach that overcomes the limitations of existing methods and provides a step towards increased predictive power of simulation.
Scattering by the upper- and lower-band chorus waves are the dominant cause of diffuse auroral precipitation. Here, we show that the lower-band chorus alone satisfies the preferred condition for the generation of second harmonics to trigger the diffuse auroral electron precipitation.
Energy consumption and in turn heat dissipation is a core obstacle in the quest of engineering ever more faster computers. We show massive parallelization of computing hardware and software offers a way to further increase energy efficiency of computers by orders of magnitude.
How HIV induces alterations in polyamine metabolism and could affect T cells and their functions in the oral mucosa of HIV-infected individuals.
“Heating Up Tumor Microenvironment with Cold”: Engineering Cold-Responsive Nanoparticles-Potentiated Cryoimmunotherapy for Fighting Against Cancer Metastasis
How can a large-scale, multinational social "experiment" — the UEFA European Soccer Championship 2020 — be used as a laboratory for assigning COVID-19 cases to short-term behavioural changes, and to understand how epidemiological conditions determine the impact of such changes?
The extraction of precious metals from electronic waste water is a long-term challenge for sustainable economy, as thus, we are motivated to study and construct high-performance extracting materials for the selective stripping of precious metals e.g. gold from a mess of waste solutions.