By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

PitchBook, a private capital market intelligence platform, this week announced the launch of PitchBook Valuation Estimates, a daily, standardized valuation ...

Intelligent P&IDs and Share2Review as key functions for efficient engineering and better collaboration For our ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...

Novel study by researchers at the Rambam Health Care Campus could help 21 million people worldwide suffering from the severe ...