Combinatorial Science and High-Throughput Experiments for Catalysis

Sequential stopping for high-throughput experiments

In high-throughput experiments, the sample size is typically chosen informally. Most formal sample-size calculations depend critically on prior knowledge. We propose a sequential strategy that, by updating knowledge when new data are available, depends less critically on prior assumptions. Experiments are stopped or continued based on the potential benefits in obtaining additional data. The und...

High-Throughput Screening in Heterogeneous Catalysis

Experimental Design for Combinatorial and High Throughput Materials Development

MEMS tools for combinatorial materials processing and high-throughput characterization

Using the combinatorial material synthesis approach, materials libraries can be produced in one experiment that contain up to several thousand samples on a single substrate. In order to identify optimized materials in an efficient way using screening methods, adequate automated material characterization tools have to be designed and applied. Microsystems (micro-electromechanical systems: MEMS) ...

High-throughput and combinatorial technologies for tissue engineering applications.

As the field of tissue engineering progresses, new technology is essential to accelerate the identification of potentially translatable approaches for the repair of tissues damaged due to disease or trauma. The development of high-throughput and combinatorial technologies is helping to speed up research that is applicable to all aspects of the tissue engineering paradigm. This diverse technolog...