Enhance your discovery project performance by integrating Flare™ with external systems using the Python™ API
The Flare Python API enables computational chemists to automate common tasks in the GUI and access Flare science from the ...
This month we welcomed Jenke Scheen, a PhD student at the University of Edinburgh, to the FEP team. Jenke's placement is a CASE studentship as part of our collaboration with Julien Michel's group at the University of Edinburgh.
"After two years of academic research I'm thrilled to start my CASE placement with Cresset for the next three months. Whereas my previous work has been more theoretical (e.g., recent publication on hybridising FEP and machine learning and poster on data-driven estimation of optimal perturbation networks), this next period of work will be more hands-on to develop FEP in Flare™, Cresset's structure-based design platform. I'm excited to see what the next few months will bring."