Nanomedicines have transformed promising therapeutic agents into clinically approved
medicines with optimal safety and efficacy profiles. This is exemplified by the mRNA …

The purpose of this perspective is to look at past and present science considered
responsible for the evolution and growth of the field of gas-phase heterogeneous CO 2 …

Materials acceleration platforms (MAPs) combine automation and artificial intelligence to
accelerate the discovery of molecules and materials. They have potential to play a role in …

Autonomous materials research systems allow scientists to fail smarter, learn faster, and
spend less resources in their studies. As these systems grow in number, capability, and …

Like many specialty applications, the pace of designing structures for impact protection is
limited by its reliance on specialized testing. Here, we develop a transfer learning approach …

Fused deposition modeling (FDM) is one of the most popular additive manufacturing (AM)
technologies for reasons including its low cost and versatility. However, like many AM …

Although the convergence of high-performance computing, automation, and machine
learning has significantly altered the materials design timeline, transformative advances in …

Modern machine learning and autonomous experimentation schemes in materials science
rely on accurate analysis of the data ingested by these models. Unfortunately, accurate …

The methanol economy envisioned by Nobel laureate George Olah is growing by leaps and
bounds. This growth is spurred by its burgeoning use not only as a major feedstock for a vast …