The full Coulomb interactions, i.e., electron-electron and
electron-impurity interactions, play an important role in the
operation of ultra-small MOSFETs. Previous simulation approaches
(particle-mesh and particle-particle/particle-mesh methods) were found
to be very time-consuming because of the imposed boundary conditions.
We used a fast multi-pole method instead and verified its
applicability in bulk mobility and device simulations. This approach
yields physically correct results and accounts for all Coulomb
interactions in the device within significantly decreased simulation
times.
Another aim was to incorporate quantum mechanical corrections into a
particle-based Monte Carlo semiconductor device simulator by replacing
the classical forces acting on the electrons during free flight by
modified quantum mechanical forces. We have been extending the use of
an effective quantum potential to particle-particle interactions. This
means that the electron-barrier interactions and, additionally, the
electron-electron interactions can now be handled including the
quantum mechanical correction. The effective quantum potential was
derived for the many-body problem and recently implemented in our three-dimensional Monte Carlo simulator.
A new and exciting area of research, where methods for many-body
problems play a significant role, is molecular biotechnology. For a
long time after the Nobel prize-winning works of Hodgkin and Huxley
on the chemical processes responsible for the passage of impulses
along neurons, the precise mechanism underlying ion channels and ion
transporters remained a mystery. The mechanisms of selective ion
conduction, i.e., why only certain ions can pass an ion channel, and
gating, i.e., how ion conduction is turned on and off depending on
specific environmental stimuli, are fundamental to cell biology. The
selectivity mechanism of potassium channels on the atomic level was
first explained by the X-ray diffraction experiments performed in
MacKinnon's group. MacKinnon and Agre shared the 2003 Nobel prize in
chemistry for their work on potassium and aquaporin water channels,
respectively. The mechanism of gating in ion channels, however, is not
yet fully understood. The number of membrane proteins whose atomic
structure is known has increased fast recently, and this is stimulating
research. The corresponding molecular dynamics simulations, important
for our theoretical understanding as well as for computer-aided drug
design, are very computationally expensive and among the most
demanding scientific computations. We simulate the workings of ion
channels on the atomic level in order to explain their functioning and
in order to use this knowledge in computer-aided drug design.
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