A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes ...

One of the most fundamental processes in all of biology is the spontaneous organization of cells into clusters that divide and eventually turn into shapes – be they organs, wings, or limbs. Scientists ...

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...

Digital voice recordings contain valuable information that can indicate an individual's cognitive health, offering a non-invasive and efficient method for assessment. Research has demonstrated that ...

A research team led by professor Olivia Merkel, Chair of Drug Delivery at LMU and co-spokesperson of the Cluster for Nucleic Acid Therapeutics Munich (CNATM) has developed the first integrated ...

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

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Chemistry World provides expert, independent science journalism for the global chemical science community. We are part of the ...