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 …

Abstract Machine learning (ML) exhibits substantial potential for predicting the properties of
solid‐state electrolytes (SSEs). By integrating experimental or/and simulation data within ML …

The development of solid polymer electrolytes for lithium− metal (Li0) batteries (LMBs) with
high energy density and high safety has been a long-standing goal that attracted intensive …

The forward screening and reverse design of drug molecules, inorganic molecules, and
polymers with enhanced properties are vital for accelerating the transition from laboratory …

Establishing the structure–property relationship by machine learning (ML) models is
extremely valuable for accelerating the molecular design of polymers. However, existing ML …

Stretchable sensors have been widely investigated and developed for the purpose of human
motion detection, touch sensors, and healthcare monitoring, typically converting …

The application of alloying‐typed red phosphorus (red P) anode in potassium‐ion batteries
(KIBs) with ultra‐high theoretical capacity is hindered by the limited capacity and fast …

Agriculture and Agri-Food Canada, in its unwavering commitment to sustainable agriculture,
has launched a program to reduce nitrous oxide (N2O) emissions from fertilizer utilization in …

Solid-state batteries are increasingly centre-stage for delivering more energy-dense, safer
batteries to follow current lithium-ion rechargeable technologies. At the same time, wearable …