Polymers are ubiquitous to almost every aspect of modern society and their use in medical
products is similarly pervasive. Despite this, the diversity in commercial polymers used in …

Artificial intelligence (AI)-based methods continue to make inroads into accelerated
materials design and development. Here, we review AI-enabled advances made in the …

By combining metal nodes with organic linkers we can potentially synthesize millions of
possible metal–organic frameworks (MOFs). The fact that we have so many materials opens …

Exceptional molecules and materials with one or more extraordinary properties are both
technologically valuable and fundamentally interesting, because they often involve new …

The design rules for materials are clear for applications with a single objective. For most
applications, however, there are often multiple, sometimes competing objectives where …

In materials science, the discovery of recipes that yield nanomaterials with defined optical
properties is costly and time-consuming. In this study, we present a two-step framework for a …

Advances in machine learning (ML) and automated experimentation are poised to vastly
accelerate research in polymer science. Data representation is a critical aspect for enabling …

Environmental stability of perovskite solar cells (PSCs) has been improved by trial-and-error
exploration of thin low-dimensional (LD) perovskite deposited on top of the perovskite …

The emergence of data-intensive scientific discovery and machine learning has dramatically
changed the way in which scientists and engineers approach materials design …

The prediction of a variety of polymer properties from their monomer composition has been a
challenge for material informatics, and their development can lead to a more effective …