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 ...
AlphaGalileo

Faster and More Reliable Crystal Structure Prediction of Organic Molecules

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
EurekAlert!

Crystallography-informed AI achieves world-leading performance in predicting novel crystal structures

A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine learning algorithm, ShotgunCSP, that enables fast and accurate prediction of ...
IEEE

An Improved CSP Algorithm and Application in Motor Imagery Recognition

Abstract: An improved common special pattern (CSP) algorithm was proposed to improve classification accuracy of motor imagery electroencephalograph(EEG) in a brain-computer interface (BCI) system.
GitHub

CSP 'Microsoft Base Cryptographic Provider v1.0' does not support SHA2 algorithms

On a pentest I grabbed a media variables file, cracked it, and then did pxethiefy.py decrypt -f my.boot.var MyPassword. It gave me the long SharpSCCM.exe string to use to attempt to obtain secrets ...
SciELO

A Constraint Programming approach to solve the clustering problem in open-pit mine planning

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...
C&EN

Ab Initio Crystal Structure Prediction of the Energetic Materials LLM-105, RDX, and HMX

Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States Department of Physics, Carnegie Mellon University, Pittsburgh, Pennsylvania ...