Skip to end of metadata
Go to start of metadata
You are viewing an old version of this page. View the current version.
Compare with Current
View Page History
« Previous
Version 3
Next »
Participants
Goals
Discussion topics
Item | Presenter | Notes |
---|
Sage + OPLS coordination | | LD: announcement sent yesterday on S1, introduced Sage and OPLS as remaining items LD: Sage should be more mandatory, OPLS more discretionary, but aiming for getting as much as we can for the manuscript JW: Sage is just released, but only parameter names have changed from RC2; physics is the same, so think we can just proceed with RC2 results as “Sage” for the manuscript
|
Public dataset status
|
| DD: backward-and-forward behavior on the QM public industry dataset; have an indication on what the problem is, but not a solution yet LD: exported about 60,000 QM results at Janssen for analysis so far DD: MM dataset practically complete; can start export at Janssen for downstream analysis |
Updates from team | | |
Benchmarking workshop prep | | DD – LD, do you have what you need? What can we provide? LD – Is there a template that we should use? JW: want them to know significant findings from public and private sets recap of the methods we used least important: future plans for benchmarking, Season 2, etc.
JW: want them to feel engaged, be able to put hands to keyboard, do something cool a bit different with benchmarking, because they’ve already done that by participating in Season 1 will need to do some thinking on structure for this; perhaps an analysis like what Thomas Fox did something interactive is valuable
JW: if we were going to tell a story, what story should we tell? JH: how about the optimization issue with the big angle that was causing the crashes JW: that is a good one! Could cast that into an activity DD will share jupyter notebook from ff-release call where we found this issue
DH: are calendar invites sent? JW: fine if this is only an hour DD: Could start with introduction presentation (goals, workflow details), and then running interactive session at the end. If interactivity ends up being really hard, then there’s not a big problem with dropping it. But if we DO plan for the interactive session, the talk should max out at ~30 minutes. JW: could choose a set of molecules, zipped up for ease of distribution LD: perhaps can draw on work Pavan is doing? JW: maybe choose an analysis where one part of it is poorly defined DH – Could do analysis of the “most offending violations”, where we have people look at sets of molecules and find trends DD – Can we ship a non-psi4 single file installer for this? That way people can easily run it locally and continue using it afterwards. General – Which “simple analysis” should we showcase before we let them loose? DD – Would be good to say what we want people to learn from the interactive session. JW: timeline day before, send them a zipped-up dataset, single-file installer, jupyter notebook (possibly also a script version of the notebook analysis for folks on remote hosts) could have a Google Colab setup for folks who can’t use the installer
For folks that can’t run a jupyter notebook easily, could have a series of scripts they can run that produce equivalent file outputs LD: For dataset, random molecules, or from some partner? JW: molecules that contain sulfur? DD – Let’s make a slack channel for this discussion
|
Action items
Decisions
Add Comment