NLM DIR Seminar Schedule
UPCOMING SEMINARS
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March 16, 2026 Janani Ravi, PhD
A bug’s life: a data integration view of microbial genotypes, phenotypes, and diseases -
March 17, 2026 Roman Kogay
Diversification vs Streamlining: Selection Landscapes of Prokaryotic Genome Evolution -
March 24, 2026 Myeongsang Lee
TBD -
March 31, 2026 Yoshitaka Inoue
TBD -
April 7, 2026 Henrry Secaira Morocho
TBD
RECENT SEMINARS
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March 10, 2026 Zhizheng Wang
Large Language Models for Gene Set Analysis -
March 5, 2026 Hasan Balci
From Sketch to SBGN: An AI-Assisted and Interactive Workflow for Generating Pathway Maps -
March 3, 2026 Gianlucca Goncalves Nicastro
Systematic identification of Salmonella T6SS effectors uncovers a lipid-targeting family. -
Feb. 24, 2026 Ajith Viswanathan Asari Pankajam
Systematic Evaluation of Gene Markers in Single-Cell Tissue Atlases -
Feb. 19, 2026 Jean Thierry-Mieg
On Magic2, an innovative hardware-friendly RNA-seq analyzer
Scheduled Seminars on Jan. 18, 2022
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Thermodynamic selection is an indirect competition between agents feeding on the same energy resource and obeying the laws of thermodynamics. We examine scenarios of this selection, where the agent is modeled as a heat-engine coupled to two thermal baths and extracting work from the high-temperature bath. The agents can apply different work-extracting strategies, e.g. the maximum power or the maximum efficiency. They can also have a fixed structure or be adaptive. Depending on whether the resource (i.e. the high-temperature bath) is infinite or finite, the fitness of the agent relates to the work-power or the total extracted work. These two selection scenarios lead to increasing or decreasing efficiencies of the work-extraction, respectively. We also show that certain general concepts of game-theory and ecology--the prisoner's dilemma and the maximal power principle--emerge from the thermodynamics of competing agents. We emphasize the role of adaptation in developing efficient work-extraction mechanisms.