2024-03-28T19:51:03Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/470002016-02-17T08:25:43Zcom_10261_2855com_10261_4col_10261_2857
Cerdà, Joan J.
Holm, Christian
Kremer, K.
2012-03-13T13:08:14Z
2012-03-13T13:08:14Z
2011-08-25
Macromolecular Theory and Simulations 20(7): 444–445 (2011)
1022-1344
http://hdl.handle.net/10261/47000
10.1002/mats.201100072
1521-3919
The last two decades have brought us a tremendous
improvement in numerical methods, and the eld of computer
simulations has been established as the third pillar
used to increase our knowledge of natural science. As
such it is of equal importance as experiments and theory
in sharpening our understanding of the complex real
world phenomena. It is undeniable that the increase in
computer power experienced in the last two decades has
enormously contributed to boost simulations. One one
hand, as the computer power increases so does the ambition
of the researchers to describe even more complex
systems which involve large di erences in the spatial and
time scales of their components. On the other hand, it is
also clear that brute force alone will not pave the way to
solving those issues. In the last decade the introduction
of smart algorithms have been more pro table to science
than the simple improvements in turn of pure CPU
power. Therefore there is still an urgent and constant
need for more e cient and clever algorithms, as well as
for improved theoretical frameworks. Such achievements
are of great interest for the scienti c community as a
whole, but here in this special issue we would like to
highlight achievements and novel simulation approaches
to certain areas of polymeric and soft matter systems.
eng
openAccess
Novel Simulation Approaches for Polymeric and Soft Matter Systems
preprint