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looyady
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7Â¥2018-12-14 15:21:29
chuntao118
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2Â¥2016-03-22 14:32:44
challenger9
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3Â¥2016-06-24 10:06:08
brucefan
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% a matlab script for calculating VACF from velocity data clear; load v.txt; % assume your velocity data are in the above file and assume the format is (N is the number of atoms, M is the number of time points): % vx_1 vy_1 vz_1 % time point 1 % vx_2 vy_2 vz_2 % time point 1 % ... % time point 1 % vx_N, vy_N, vz_N % time point 1 % vx_1 vy_1 vz_1 % time point 2 % vx_2 vy_2 vz_2 % time point 2 % ... % time point 2 % vx_N, vy_N, vz_N % time point 2 % ... % vx_1 vy_1 vz_1 % time point M % vx_2 vy_2 vz_2 % time point M % ... % time point M % vx_N, vy_N, vz_N % time point M N = xxx; % number of atoms in your system M = length(v)/N; % number of time points for your velocity data dt = xxx; % the time interval between two set of velocities (in some unit) Nt = xxx; % maximum length of the correlation your want (usually Nt = M/10 is a good choice) time = dt*(0:Nt-1); M = M-Nt; % you have to waste a small portion of data vacf=zeros(Nt,1); for nt=0:Nt-1 for m=1:M vacf(nt+1, =sum(sum(v_all((m-1)*N+1:m*N, .*v_all((m+nt-1)*N+1 m+nt)*N, ));end end %vacf=vacf/M; % you can also normalize it by using [vacf=vacf(1);] if you want % now you can plot the result: close all; figure; plot(time, vacf,'o-'); xlabel('time (some unit)'); ylabel('VACF (some unit)'); |
4Â¥2016-06-27 18:45:07













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=sum(sum(v_all((m-1)*N+1:m*N,
m+nt)*N,