QLS Seminar - Tuesday, 12 January at 16:00 (CET)

[QLS]

Dear All,

on Tuesday, 12 January 2021 at 16:00 CET, Alireza Seif, University of 
Chicago, will give a webinar titled

"Machine learning the thermodynamic arrow of time"

Abstract:

The asymmetry in the flow of events that is expressed by the phrase 
‘time’s arrow’ traces back to the second law of thermodynamics. In the 
microscopic regime, fluctuations prevent us from discerning the 
direction of time’s arrow with certainty. Here, we show that a machine 
learning algorithm that is trained to infer the direction of time’s 
arrow identifies entropy production as the relevant physical quantity in 
its decision-making process. Effectively, the algorithm rediscovers the 
fluctuation theorem as the underlying thermodynamic principle. Our 
results indicate that machine learning techniques can be used to study 
systems that are out of equilibrium, and ultimately to answer open 
questions and uncover physical principles in thermodynamics.

Indico webpage: http://indico.ictp.it/event/9520/

Zoom Meeting ID to attend the online seminar: 475-819-702

Join Zoom Meeting:https://zoom.us/j/475819702

If you haven't registered for previous QLS webinars, please contact 
qls at ictp.it to obtain the PASSWORD for this zoom meeting.

Kind regards,

Barbara Valassi for QLS Section