Now is the time to invest in quantum literacy, explore proof-of-concept collaborations and monitor quantum’s integration.

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Coveney: The scale of electronic structure calculations feasible on current or near-term quantum hardware is constrained by several inherent limitations, including coherence time, qubit count and ...

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

El Agente Q, an artificial intelligence model, solves quantum chemistry problems by delegating tasks to specialist modules.

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The development of catalysts has long depended on trial-and-error methods, which are time-consuming and often yield ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Zhuoran Qiao has been awarded the inaugural Chen Institute and Science Prize for Al Accelerated Research for work critical to ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...