nhaliday + boltzmann   19

Edge.org: Q-Bio, the most interesting recent [scientific] news
Applied mathematicians and theoretical physicists are rushing to develop new sophisticated tools that can capture the other, non-genomic challenges posed in trying to quantify biology. One of these challenges is that the number of individuals in a community may be large, but not as large as there are molecules of gas in your lungs, for example. So the traditional tools of physics based on statistical modeling have to be upgraded to deal with the large fluctuations encountered, such as in the number of proteins in a cell or individuals in an ecosystem. Another fundamental challenge is that living systems need an energy source.

They are inherently out of thermodynamic equilibrium, and so cannot be described by the century-old tools of statistical thermodynamics developed by Einstein, Boltzmann and Gibbs. Stanislaw Ulam, a mathematician who helped originate the basic principle behind the hydrogen bomb, once quipped, “Ask not what physics can do for biology. Ask what biology can do for physics.” Today, the answer is clear: biology is forcing physicists to develop new experimental and theoretical tools to explore living cells in action.
bio  trends  science  interdisciplinary  physics  thermo  org:edge  giants  einstein  boltzmann  stat-mech  equilibrium  complex-systems  cybernetics 
november 2016 by nhaliday

bundles : academepeepsphysics

related tags

academia  accuracy  acm  acmtariat  additive-combo  approximation  atoms  baez  bayesian  big-picture  bio  bits  boltzmann  brunn-minkowski  cartoons  chemistry  clarity  clever-rats  coarse-fine  complex-systems  concentration-of-measure  concept  concrete  convexity-curvature  correlation  curiosity  curvature  cybernetics  deep-learning  differential  dimensionality  direction  discrete  distribution  duality  dumb-ML  dynamical  EGT  einstein  embeddings  entropy-like  equilibrium  estimate  explanans  explanation  exposition  extrema  features  fire  generative  geometry  giants  gowers  gradient-descent  ground-up  hi-order-bits  high-dimension  information-theory  init  insight  interdisciplinary  intuition  ising  isotropy  iterative-methods  language  latent-variables  lecture-notes  lens  limits  linear-algebra  linear-models  linearity  liner-notes  links  machine-learning  manifolds  markov  math  math.CO  math.DS  math.FA  math.MG  mathtariat  matrix-factorization  measure  mechanics  minimum-viable  ML-MAP-E  model-class  moments  monte-carlo  nibble  nlp  nonlinearity  off-convex  oly  optimization  org:bleg  org:edge  oscillation  overflow  phase-transition  phys-energy  physics  princeton  priors-posteriors  probability  proofs  properties  q-n-a  quantum  random  ratty  reference  reflection  regression  regularization  research  roots  sampling  sanjeev-arora  science  scitariat  shalizi  soft-question  sparsity  stat-mech  stats  street-fighting  synthesis  tcs  techtariat  tensors  the-world-is-just-atoms  thermo  trends  unit  visual-understanding  wiki  wormholes  yoga  👳  🔬 

Copy this bookmark: