
Machine Learning-Based Protein Annotation Tool Predicts Protein Function
Snekmer allows scientists to use rapid prototyping to better understand the function of proteins in microbes.
Snekmer allows scientists to use rapid prototyping to better understand the function of proteins in microbes.
Machine learning techniques track turbulent blobs in millions of frames of video from tokamak experiments.
Temperature and Nutrient Availability Affect Microbial Food Webs in Unexpected Ways
This new method individually separates heavy metals — an actinide chemist’s dream.
Viruses may have unanticipated consequences for ecosystem responses to climate change
Physicists use a detector under an Italian mountain to search for rare nuclear processes to explain why our Universe has more matter than antimatter.
Researchers perform a global analysis of lead-lead collisions, finding that agreement with the reaction rate requires a much smaller nucleus.
Researchers demonstrate a real-world large-scale application of deep neural network models for discovering novel protein-protein interactions.
By confining the transport of electrons and ions in a patterned thin film, scientists alter the material's properties for next-generation electronics.
Study reveals that initial state conditions set up particle flow patterns, helping zero in on key properties of matter that mimics the early universe.
Researchers have published the results from the first experiment at the Facility for Rare Isotope Beams, measurement of 5 new half-lives, in Physical Review Letters.
Researchers identify previously uncharacterized aerosols over an agricultural region in Oklahoma.