We present an automated droplet reactor platform possessing parallel reactor channels and
a scheduling algorithm that orchestrates all of the parallel hardware operations and ensures …

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with the autonomization of …

Highlights•Allotrope Data Model ensures data integrity through validation.•Allotrope
Framework's foundation is built upon the versatile HDF5.•Multiple tools enable easy access …

High-throughput experimentation for chemistry and chemical biology has emerged as a
highly impactful technology, particularly when applied to Direct-to-Biology. Analysis of the …

Abstract Development of meaningful and reliable analytical assays in the (bio)
pharmaceutical industry can often be challenging, involving tedious trial and error …

Transient cumulative flow rate varying methods have proven very effective for the collection
of residence time series data for reactions in continuous flow. In this study, comparisons will …

Reaction optimization and characterization depend on reliable measures of reaction yield,
often measured by high-performance liquid chromatography (HPLC). Peak areas in HPLC …

Pharma 4.0 is a digital evolution of the pharmaceutical industry that automates scientists'
traditional workflows with the implementation of modern technologies like cloud pipelines …

With the widespread use of lithium‐ion batteries in electric vehicles, energy storage, and
mobile terminals, there is an urgent need to develop cathode materials with specific …

Ensuring research data are made openly available and are useful to everyone is an
increasingly important area of focus for science publishers. Chemistry Europe has invited …