A collaboration between scientists at Imperial College London and Swiss data analytics developer DataHow has created a new software function now available for Design of Experiment (DoE) for upstream ...

Across scientific disciplines, large language models (LLMs) are being used to solve various research problems. At Carnegie Mellon University, scientists have used LLMs to create an intelligent lab ...

For three decades, a riddle has followed neutrinos, the near-weightless particles that stream through Earth by the trillions each second. They change identities as they fly, shifting among three known ...

Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...

A new leap in lab automation is shaking up how scientists discover materials. By switching from slow, traditional methods to real-time, dynamic chemical experiments, researchers have created a ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Two papers challenged the existence of theorized particles called sterile neutrinos that might account for mysteries like the cosmos’s dark matter.

Science is a process of discovery. In the laboratory, students conduct experiments, solve problems, and use the scientific method. Collectively, a laboratory experience should be experiential with ...