Accelerating the discovery of new molecules and materials, as well as developing green
and sustainable ways to synthesize them, will help to address global challenges in energy …

The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

In light of the pressing need for practical materials and molecular solutions to renewable
energy and health problems, to name just two examples, one wonders how to accelerate …

Self-driving laboratories (SDLs) are the future; however, the capital and expertise required
can be daunting. We introduce the idea of an optimization task for less than 100 USD, a …

Over the past five years, artificial intelligence (AI) has grown significantly in different aspects
of our daily lives, including health, transportation, and the digital world, all by leveraging …

Laboratory automation and data science are valuable new skills for all chemists, but most
pedagogical activities involving automation to date have focused on upper-level …

This review proposes the concept of a “frugal twin,” similar to a digital twin, but for physical
experiments. Frugal twins range from simple toy examples to low-cost surrogates of high …

In this themed collection we aim to broadly review some of the critical, recent progress in the
application of AI/ML to various aspects of computational materials science and materials …

This review proposes the concept of a “frugal twin,” similar to a digital twin, but for physical
experiments. Frugal twins range from simple toy examples to low-cost surrogates of high …

A central challenge of materials discovery for improved technologies arises from the
increasing compositional, processing, and structural complexity involved when synthesizing …