Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...
15don MSN
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 and design of functional materials. In pharmaceuticals, crystal structures ...
A stacked chip captures, encrypts, and searches image data directly on hardware, combining photodetection, memory, and key ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
Ion channel voltage-dependence alterations can shape intrinsic homeostatic plasticity, even if operating faster than other intrinsic regulatory processes—where timescale separation would suggest its ...
This paper describes the eccentricity, amplitude, phase shift, angular momentum, polarization, radial path, and orbital ...
Donald Trump went on a deranged rant about the power of water to destroy magnets during a rambling address to the U.S. Navy just off the coast of Japan. Speaking aboard the USS George Washington ...
A recent report redefines climate risk, highlighting real-time tipping points and the critical need for governance to address irreversible environmental changes.
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