Polymers, with the capacity to tunably alter properties and response based on manipulation
of their chemical characteristics, are attractive components in biomaterials. Nevertheless …

Recent advances in magnetorheological elastomers (MREs) have posed the question on
whether the combination of both soft-and hard-magnetic particles may open new routes to …

Large language models (LLMs) are able to do accurate classification with zero or only a few
examples (in-context learning). We show a prompting system that enables regression with …

Novel biorefineries could transform lignin, an abundant biopolymer, from side-stream waste
to high-value-added byproducts at their site of production and with minimal experiments …

Photonic curing is a thin-film processing technique that can enable high-throughput
perovskite solar cell (PSC) manufacturing. However, photonic curing has many variables …

The design of versatile soft actuators remains a challenging task, as it is a complex trade-off
between robotic adaptability and structural complexity. Recently, researchers have used …

A protocol based on Bayesian optimization is demonstrated for determining model
parameters in a coarse-grained polymer simulation. This process takes as input the …

With advancements in automation and high-throughput techniques, complex materials
discovery with multiple conflicting objectives can now be tackled in experimental labs. Given …

Ductile damage models require constitutive model parameter values that are difficult to
derive experimentally or analytically. The calibration procedure for ductile damage model …

Data-driven design shows the promise of accelerating materials discovery but is challenging
due to the prohibitive cost of searching the vast design space of chemistry, structure, and …