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 ...
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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 ...

Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Minghao Chi Strengthens Pension Fund Risk Management with Data-Driven Index Weight Prediction Research

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...
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AI model identifies high-performing battery electrolytes by starting from just 58 data points

In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even ...

Social determinants of health independent risk factors for asthma

Social determinants of health (SDoH) are independent risk factors for asthma, according to a study published online Oct. 24 ...

Chargers vs. Vikings NFL player props: Self-learning AI backing Carson Wentz over 222.5 passing yards on TNF

A cross-conference battle kicks off NFL Week 8 as the Los Angeles Chargers host the Minnesota Vikings on 'Thursday Night ...