TY  - GEN
AB  - The trajectory ensemble is fundamental in statistical physics and relatively easy to understand. It is also information-rich, as both equilibrium and non-equilibrium observables may be derived from it
AU  - Zuckerman, Daniel
DA  - 2015
DO  - 10.6083/M4HD7V5V
DO  - DOI
ID  - 7469
KW  - Molecular Dynamics Simulation
KW  - hill relation
KW  - trajectories
KW  - trajectory ensemble
KW  - equilibrium
KW  - rate constant
KW  - statistical mechanics
L1  - https://digitalcollections.ohsu.edu/record/7469/files/3964.pdf
L2  - https://digitalcollections.ohsu.edu/record/7469/files/3964.pdf
L4  - https://digitalcollections.ohsu.edu/record/7469/files/3964.pdf
LK  - https://digitalcollections.ohsu.edu/record/7469/files/3964.pdf
N2  - The trajectory ensemble is fundamental in statistical physics and relatively easy to understand. It is also information-rich, as both equilibrium and non-equilibrium observables may be derived from it
PB  - Oregon Health and Science University
PY  - 2015
T1  - Statistical biophysics blog: more is better: the trajectory ensemble picture
TI  - Statistical biophysics blog: more is better: the trajectory ensemble picture
UR  - https://digitalcollections.ohsu.edu/record/7469/files/3964.pdf
Y1  - 2015
ER  -