Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …

Solving mechanics problems using numerical methods requires comprehensive intelligent
capability of retrieving relevant knowledge and theory, constructing and executing codes …

Self-driving labs (SDLs) have emerged as a strategy for accelerating materials and chemical
research. While such systems autonomously select and perform physical experiments, this …

The process of development of new thermoplastic polymers, both with or without property-
enhancing additives, requires preparation of test specimens to be used for subsequent …

The Gaussian process (GP) is a popular statistical technique for stochastic function
approximation and uncertainty quantification from data. GPs have been adopted into the …

We present the free and open source software TAS-Paths, a novel system which calculates
optimal, collision-free paths for the movement of triple-axis spectrometers. The software …

The Gaussian process (GP) is a popular statistical technique for stochastic function
approximation and uncertainty quantification from data. GPs have been adopted into the …

Humans depend on energy-absorbing structures constantly during daily life. Crumple zones
in cars protect occupants during a crash. Packaging protects sensitive goods during …

There is a growing focus on sustainable energy sources and storage systems. The
challenge with such emerging systems is their need to be warrantied for around 15 years …