A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
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Machine learning used to calibrate emissions control systems faster, more efficiently
Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
(Nanowerk News) Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...
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