The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

For the past three years, that concept has evolved into Crunch DAO, a decentralized "marketplace" for quantitative research.

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Measuring just 200 by 300 by 50 micrometers — smaller than a grain of salt and roughly the size of a single-celled paramecium ...

Learn about Agentic AI and its role in enhancing decision-making in drug discovery through planned actions and verified ...

The math of data structures helps us understand how different storage systems come with different trade-offs between ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.MOFs are an ...

BEIJING —The computer, at its core, is an input-output device: it receives instructions, executes programmes, performs calculations automatically and produces results. By this fundamental definition, ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...