‘ATLAS’ System Lifts Johns Hopkins APL Leadership in Automated Experimentation

Source Domain: www.jhuapl.edu

An interdisciplinary team from Johns Hopkins Applied Physics Laboratory (APL) has used artificial intelligence (AI) to automate experiments with microcapsules, significantly reducing human involved time by over 80%.
The project, referred to as ATLAS (Microcapsule AI-driven Testing, Learning, and Accelerated Synthesis), aims to leverage generative AI to enhance the speed and efficiency of microcapsule production and testing.
Microcapsules are tiny particles that encapsulate an active substance, providing applications across military, agriculture, health, and materials sciences, among other fields.
The automation of microcapsule experimentation has decreased hands-on time per researcher from nine hours to under 90 minutes, permitting scientists to undertake additional experiments and analyses.
The ATLAS team integrates expertise from modeling, simulation, robotics, AI, and materials science to simulate and automate the complex chemical processes involved in microcapsule formation and development.

You may have missed