Small Systems, Smart Strategies: Energy Optimization through Stochastic Thermodynamics

Event Date:
2025-04-10T10:00:00
2025-04-10T11:00:00
Event Location:
CEME 1203 (UBC campus)
Speaker:
Dr. Sarah A.M. Loos, University of Cambridge; Max Planck Institute for Dynamics and Self-Organisation in Göttingen
URL:
Zoom link
Related Upcoming Events:
Other Talks
Intended Audience:
Everyone
Local Contact:

Mattia Bacca, UBC Dept. of Mechanical Engineering (mbacca@mech.ubc.ca)

We look forward to seeing you all there.

 

Event Information:

This talk is part of the Structural Matter Seminar series.

Abstract:

Dr. Loos will explore the framework of stochastic thermodynamics to study the thermodynamic properties of microscale systems subject to thermal and non-thermal noise. She will discuss fundamental principles of control strategies that transition a system from one state to another in the most energy-efficient way. As a canonical example, she will explain the problem of dragging a harmonic trap containing a particle over a finite distance in a finite time while minimizing the work input, showcasing that the optimal dragging protocol and the corresponding mean particle trajectory both exhibit time-reversal symmetry, identified as a universal and exclusive feature of optimal solutions.

Bio:

Dr Sarah Loos | Corpus Christi College University of Cambridge

Add to Calendar 2025-04-10T10:00:00 2025-04-10T11:00:00 Small Systems, Smart Strategies: Energy Optimization through Stochastic Thermodynamics Event Information: This talk is part of the Structural Matter Seminar series. Abstract: Dr. Loos will explore the framework of stochastic thermodynamics to study the thermodynamic properties of microscale systems subject to thermal and non-thermal noise. She will discuss fundamental principles of control strategies that transition a system from one state to another in the most energy-efficient way. As a canonical example, she will explain the problem of dragging a harmonic trap containing a particle over a finite distance in a finite time while minimizing the work input, showcasing that the optimal dragging protocol and the corresponding mean particle trajectory both exhibit time-reversal symmetry, identified as a universal and exclusive feature of optimal solutions. Bio: Dr Sarah Loos | Corpus Christi College University of Cambridge Event Location: CEME 1203 (UBC campus)