Researchers have developed a machine learning-based model to predict the characteristics of bonded systems. Using the density of states of the individual component reactants, they have achieved accurate predictions of the binding energy, bond leng...
Jul 19, 2021
A new mathematical model helps predict the tiny changes in carbon-based materials that could yield interesting properties.
Jul 19, 2021
The article represents the transmission electron microscopy (TEM) and flow cytometry study of A-549 (human lung carcinoma) cellular uptake of Pr3+:LaF3 nanoparticles. The Pr3+:LaF3 nanoparticles are promising platforms for cell nano-sensors.
Jul 19, 2021
Researchers from the Paul Scherrer Institute PSI and the Brookhaven National Laboratory (BNL), working in an international team, have developed a new method for complex X-ray studies that will aid in better understanding so-called correlated metal...
Jul 19, 2021
A new state-of-the-art instrument has been built by a team from Swansea University’s Nanomaterials Laboratory which will help scientists fight against climate change, microbial infection and other major global challenges.
Jul 19, 2021
Radiation therapy is currently one of the best treatments we have against cancer, but it could benefit from being more targeted to spare healthy cells. Now, researchers in Japan have developed nanoparticles that can penetrate tumors and kill them ...
Jul 19, 2021
If it looks like a duck, swims like a duck and quacks like a duck, then it probably is a duck. Scientists on the hunt... The post Unconventional Superconductor May Unlock New Ways To Build Quantum Computers appeared first on SciTechDaily.
Jul 19, 2021
Researchers from the Paul Scherrer Institute PSI and the Brookhaven National Laboratory (BNL), working in an international team, have developed a new method for complex X-ray studies that will aid in better understanding so-called correlated metal...
Jul 19, 2021
Scientists at Tohoku University and colleagues in Japan have developed a mathematical model that helps predict the tiny changes in carbon-based materials that could yield interesting properties.
Jul 19, 2021
Researchers from The University of Tokyo Institute of Industrial Science have developed a machine learning-based model to predict the characteristics of bonded systems. Using the density of states of the individual component reactants, they have a...
Jul 19, 2021
