In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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 20100 ...
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MULTI-evolve accelerates protein engineering with machine learning
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.
Intelligent P&IDs and Share2Review as key functions for efficient engineering and better collaboration For our ...
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 ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...
Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
ESET researchers discover PromptSpy, the first known Android malware to abuse generative AI in its execution flow.
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