Mixed-gen Session 6: Activated Events
Online meeting - hosted by CECAM-HQ
This is the sixth of a series of on line events aimed mainly at PhD students and researchers in their first post-doc. Our goal is to provide a new venue for these young scientists to share their work, get expert feedback and have an opportunity to strengthen scientific relations within the CECAM community.
The event is fully on line and will have two parts. In the first, broadcasted as a Zoom webinar, Alessandro Laio, SISSA, Trieste, will present a general talk in the area of activated events (title and abstract below). This will be followed by seminars given by two young members of the community to describe their work in the same area. In the second part of the event, we shall move to a virtual poster session hosted in a Gather room where more PhD students and researchers in their first post-doc will present pertinent projects. The session’s speaker and other (surprise) expert guests will join us for this poster session to discuss exciting new science.
If you are a PhD student or a post-doc:
Please use the Participate Tab on this page to start the application. You will have to login using your CECAM account to access the application form. If you don't have a CECAM account yet, use the register option on the top right corner of the login page...and welcome to CECAM!
If you are a more senior scientist:
Please contact the organisers and we shall process your registration.
Submission of posters
(Please note that - at least for the time being - we shall accept posters only from PhD students or researchers in their first post-doc)
After your application is accepted, you will be able to submit a poster. In the CECAM page for this event, go to “My participation” tab and click on “Add a poster”, providing in particular title and abstract following the recommended format. On the same form you can already upload your poster file in png or jpg if ready. These formats are strict to enable showing of the poster in the Gather session. If the poster file is not ready at the moment of submitting your abstract, you can upload it later by editing your submission (Go to “My participation” tab and click three vertical dots on “Actions” column on table “My posters”). Please upload your poster as soon as possible to enable a decision from the selection committee - see below.
Please note that posters will be visible on the Gather room associated with this session until the end of the series (July 2021) unless otherwise requested.
DEADLINE FOR SUBMISSION: TEN DAYS BEFORE THE EVENT
Selection of posters
Posters will be selected by the event organisers with the support of our main speaker and experts who will take place in the poster session.
Selection of the two talks by PhD or first year postdocs
These contributions, to be broadcasted in the Zoom webinar in the first part of the event, will be selected, after a preliminary screening by the organisers, the main speaker and guest experts, via a lottery from the posters selected for the Gather session. Please indicate in your application if you DO NOT WANT your poster to be considered for this lottery.
THE DECISION ON THE POSTER AND THE OUTCOME OF THE LOTTERY SELECTION WILL BE COMMUNICATED ONE WEEK BEFORE THE EVENT
POSTER SUBMISSIONS BEYOND THIS DEADLINE WILL BE ACCEPTED BUT NOT CONSIDERED FOR UPGRADE TO TALK. SUBMISSION WILL BE DEFINITELY CLOSED FOUR DAYS BEFORE THE EVENT.
SESSION 6. Title and abstract of talks
Estimating the free energy: from enhanced sampling to manifold learning
Alessandro Laio, SISSA, Trieste
Multidimensional free energy landscapes are able to provide a synthetic description of complex molecular systems, revealing their salient features. In the last decades we have witnessed the development of several powerful enhanced sampling methods, and estimating the free energy as a simultaneous function of 2-3 variables is nowadays routine. However, in many relevant systems one cannot project the free energy to a low-dimensional space without artificially merging distinct free energy minima, therefore losing relevant information. But how can one find the minimal number of variables which are really necessary to describe a system? How can one choose these variables among a set of many candidates? Can one compute the free energy as a simultaneous function of, say, 10 variables? And how can one visualize and interpret a 10-dimensional landscape? We will illustrate how these questions can at least partially be addressed exploiting tools offered by unsupervided manifold learning and dimensional reduction.
Sara Bonella (CECAM HQ) - Organiser
Ignacio Pagonabarraga (CECAM HQ) - Organiser