This article presents an overview of the emerging themes in Autonomous Materials
Discovery and Manufacturing (AMDM). This interdisciplinary field is garnering a growing …

Modern scientific instruments are acquiring data at ever-increasing rates, leading to an
exponential increase in the size of data sets. Taking full advantage of these acquisition rates …

The development of complex functional materials poses a multi-objective optimization
problem in a large multi-dimensional parameter space. Solving it requires reproducible, user …

A major technological challenge in materials research is the large and complex parameter
space, which hinders experimental throughput and ultimately slows down development and …

Induced differentiation is one of the most experience-and skill-dependent experimental
processes in regenerative medicine, and establishing optimal conditions often takes years …

Autonomous experimentation combines machine learning and laboratory automation to
select and perform experiments toward user goals. Accordingly, materials optimization using …

To satisfy the evolving needs of the many industries that employ thin-film materials, new
materials and deposition methods are continually being optimized. These optimizations are …

Humans depend on energy-absorbing structures constantly during daily life. Crumple zones
in cars protect occupants during a crash. Packaging protects sensitive goods during …

Useful materials must satisfy multiple objectives, where the optimization of one objective is
often at the expense of another. The Pareto front reports the optimal trade-offs between …

Electrochemical processes offer several advantages, allowing flexible and efficient
implementation in various applications including water treatment, carbon capture, and …