Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session F38: Computation in the History of PhysicsInvited Undergrad Friendly
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Sponsoring Units: FHP DCOMP Chair: Robert Crease, State Univ of NY - Stony Brook Room: 607 |
Tuesday, March 3, 2020 8:00AM - 8:36AM |
F38.00001: Physics in the History of Computing: A Case Study from NSF Invited Speaker: Peter Freeman The histories of computation and of physics since the 1930s have had an |
Tuesday, March 3, 2020 8:36AM - 9:12AM |
F38.00002: On the status of Landauer's principle Invited Speaker: Katherine Robertson Maxwell’s demon is a creature who cunningly violates the second law of thermodynamics. In what sense is such a demon possible? Whilst thermodynamics legislates against such a creature, the demon looks eminently possible according to the underlying classical or quantum dynamics: Poincare’s recurrence theorem and Loschmidt’s reversibility objection reveal that entropy can decrease in certain situations. |
Tuesday, March 3, 2020 9:12AM - 9:48AM |
F38.00003: Simulation Model Skill in Cosmology. Invited Speaker: Eric Winsberg What role can/could simulation play in supporting, puzzle-solving, modifying, disconfirming, or falsifying ΛCDM and its competitors? I review some of the problems cosmologists have solved or hope to solve using computer simulation, and examine some of problems and successes that have emerged. I draw some conclusions regarding the kind of simulation model skill we should expect to find in Cosmology. |
Tuesday, March 3, 2020 9:48AM - 10:24AM |
F38.00004: Cosmology in Silico Invited Speaker: Marie Gueguen Simulations play an ineliminable role in contemporary cosmology. Given the enormous range of processes involved-from stars forming to clusters of galaxies and cosmic filaments- and their non-linear nature, only numerical simulations can tell us what the standard cosmological model implies for structure formation. Simulations are thus indispensable to extract predictions from models, but also to supplement sparse or non-existing observations, and to help designing the observational surveys. |
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