Seminario NanoTLab: | Brownian Information Engines: The Essentials for Best Performance

Seminario impartido por Rafna Rafeek (Department of Chemistry, Indian Institute of Technology Tirupati, Yerpedu 517619, Andhra Pradesh, India)

Resumen:

This study explores how information can be used to extract energy from a system, inspired by the concept of Maxwell’s demon. Information engines, which convert information into useful work, have attracted interest due to their similarities with biological processes. Traditional engines operate by measuring a particle’s position and adjusting its environment accordingly. However, the impact of different external conditions on these engines is not fully understood.

The first part of the study examines an advanced information engine that incorporates additional energy sources beyond thermal fluctuations. The efficiency of this engine depends on the interaction between different time scales governing the system. Under optimal conditions, it can extract significantly more work than traditional setups. However, as certain parameters change, the additional energy gain diminishes, eventually resembling conventional systems.

The second part investigates how different force fields influence energy extraction. It finds that certain shapes allow for more efficient energy conversion. In particular, some force field configurations can transition between working as an engine and as a cooling mechanism, depending on external conditions. Finally, the study shows that using more complex force fields can further improve energy extraction, making these engines more effective.

• Fecha: martes 25 de marzo de 2025
• Lugar: Faculta de Ciencias – Aula A04 (ubicada en Aulario A)
• Horario: 12:10
• Organiza: Laboratorio de Nanopartículas
• Más información: rul@ugr.es