The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The current research is published in the journal Digital Discovery.

The framework developed by a team with Professor Wei Chen could enhance the design and functionality of programmable material systems, whose applications are diverse and impactful.

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The research is published in the journal Digital Discovery.

The next frontier of pricing is not just smarter algorithms—it’s smarter connections between people, data and value.

Data plays an important role in decision-making. This article explores what it means to have a data-driven mindset and how it can guide decision-making to better results.

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

In “ Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective,” I laid the groundwork for a scalable, metadata-driven ETL framework using Azure Data Factory (ADF).