Army-funded research identified a new material that may lead to lightweight armor, protective coatings, blast shields and other impact-resistant structures.
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 achieved accurate predictions of the binding energy, bond length, number of covalent electrons, and Fermi energy. The broadly applicable model is expected to make a significant contribution to the development of materials such as catalysts and nanowires.
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.
Science snapshots from Berkeley Lab: Energy-saving windows, microbial fingerprints, lithium-ion batteries & fuel cells
A "tantalizing" principle borrowed from nature turns harmful methane into useful methanol at room temperature. With their latest study, U.S. and Belgian scientists have brought this process an important step closer to realization.
Two-dimensional "nanosheets" made of bonds between metal atoms and organic molecules are attractive candidates for photoelectric conversion, but get corroded easily. In a new study, scientists from Japan and Taiwan present a new nanosheet design using iron and benzene hexathiol that exhibits record stability to air exposure for 60 days, signaling the commercial optoelectronic applications of these 2D materials in the future.
To date, there are no effective antidotes against most virus infections. An interdisciplinary research team at the Technical University of Munich (TUM) has now developed a new approach: they engulf and neutralize viruses with nano-capsules tailored from genetic material using the DNA origami method. The strategy has already been tested against hepatitis and adeno-associated viruses in cell cultures. It may also prove successful against corona viruses.
A new study, published today in Nature Physics, has shown that it is possible to create tiny, self-powered swimming robots from three simple ingredients.
Scientist demonstrated a new way of observing atoms as they move in a tiny quantum electronic switch as it operates. Along the way, they discovered a new material state that could pave the way for faster, more energy-efficient computing.
Protein design researchers have created a freely available method, RoseTTAFold, to provide access to highly accurate protein structure prediction. Scientists around the world are using it to build protein models to accelerate their research. The tool uses deep learning to quickly predict protein structures based on limited information, thereby compressing the time for what would have taken years of lab work on just one protein. Predicting intricate shapes of proteins vital to specific biological processes could speed treatment development for many diseases.