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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Amid all the change, there remains a constant: the quality of an AI model’s outputs is only ever as good as the data that feeds it. Data management technologies and practices have also been advancing, ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
South Korea's HD Hyundai Heavy Industries and U.S. military shipbuilder Huntington Ingalls have agreed to jointly build U.S.
The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
“As with a lightning rod, simply reducing the size of the established OLED concept would cause the currents to emit mainly ...
The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.
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