Have you seen this page:
https://simtk.org/home/openmm?
F@h uses a combination of explicit and implicit solvation models. Both have advantages and disadvantages. In general for Folding@home: GPUs perform implicit solvation models, CPUs perform explicit, and PS3 does mostly implicit the fastest although it can also do explicit if need be. It is my understanding that implicit and explicit models just have different approaches, and reveal different things, such as how water affects protein folding (
http://www.pnas.org/content/101/17/6456.full)
There are certainly more knowledgeable people here who can give you a better answer, but I wanted to get some info together for you. OpenMM is simply an abstraction layer, but GPUs perform implicit solvation because they're fast at that.
EDIT: I have been informed by an admin that implicit solvation models need less processing because there is intrinsically less work to do. They lead to approximate answers, which may or may not be sufficient to bring about scientific conclusions. If more accuracy is required, the results can be refined by creating explicit models based on what has been learned from the implicit models and focusing on the details that need to be refined. The choice of implicit and explicit depends on a desire for this accuracy, and available resources. Since F@h supports a variety of different hardware, each with unique architectures and capabilities, the Pande Group can use both models.
F@h is now the top computing platform on the planet and nothing unites people like a dedicated fight against a common enemy. This virus affects all of us. Lets end it together.