47 research outputs found
Reply to Comment on "Exact analytic solution for the generalized Lyapunov exponent of the 2-dimensional Anderson localization"
We reply to comments by P.Marko, L.Schweitzer and M.Weyrauch
[preceding paper] on our recent paper [J. Phys.: Condens. Matter 63, 13777
(2002)]. We demonstrate that our quite different viewpoints stem for the
different physical assumptions made prior to the choice of the mathematical
formalism. The authors of the Comment expect \emph{a priori} to see a single
thermodynamic phase while our approach is capable of detecting co-existence of
distinct pure phases. The limitations of the transfer matrix techniques for the
multi-dimensional Anderson localization problem are discussed.Comment: 4 pages, accepted for publication in J.Phys.: Condens. Mat
Deep understanding of advanced optical and dielectric materials for fusion diagnostic applications
Annihilation of Immobile Reactants on the Bethe Lattice
Two-particle annihilation reaction, A+A -> inert, for immobile reactants on
the Bethe lattice is solved exactly for the initially random distribution. The
process reaches an absorbing state in which no nearest-neighbor reactants are
left. The approach of the concentration to the limiting value is exponential.
The solution reproduces the known one-dimensional result which is further
extended to the reaction A+B -> inert.Comment: 12 pp, TeX (plain
Analytical realization of finite-size scaling for Anderson localization. Does the band of critical states exist for d>2?
An analytical realization is suggested for the finite-size scaling algorithm
based on the consideration of auxiliary quasi-1D systems. Comparison of the
obtained analytical results with the results of numerical calculations
indicates that the Anderson transition point is splitted into the band of
critical states. This conclusion is supported by direct numerical evidence
(Edwards and Thouless, 1972; Last and Thouless, 1974; Schreiber, 1985; 1990).
The possibility of restoring the conventional picture still exists but requires
a radical reinterpretetion of the raw numerical data.Comment: PDF, 11 page
The Reaction-Diffusion Front for in One Dimension
We study theoretically and numerically the steady state diffusion controlled
reaction , where currents of and particles
are applied at opposite boundaries. For a reaction rate , and equal
diffusion constants , we find that when the
reaction front is well described by mean field theory. However, for , the front acquires a Gaussian profile - a result of
noise induced wandering of the reaction front center. We make a theoretical
prediction for this profile which is in good agreement with simulation.
Finally, we investigate the intrinsic (non-wandering) front width and find
results consistent with scaling and field theoretic predictions.Comment: 11 pages, revtex, 4 separate PostScript figure
Segregation in diffusion-limited multispecies pair annihilation
The kinetics of the q species pair annihilation reaction (A_i + A_j -> 0 for
1 <= i < j <= q) in d dimensions is studied by means of analytical
considerations and Monte Carlo simulations. In the long-time regime the total
particle density decays as rho(t) ~ t^{- alpha}. For d = 1 the system
segregates into single species domains, yielding a different value of alpha for
each q; for a simplified version of the model in one dimension we derive
alpha(q) = (q-1) / (2q). Within mean-field theory, applicable in d >= 2,
segregation occurs only for q < 1 + (4/d). The only physical realisation of
this scenario is the two-species process (q = 2) in d = 2 and d = 3, governed
by an extra local conservation law. For d >= 2 and q >= 1 + (4/d) the system
remains disordered and its density is shown to decay universally with the
mean-field power law (alpha = 1) that also characterises the single-species
annihilation process A + A -> 0.Comment: 35 pages (IOP style files included), 10 figures included (as eps
files
Symmetry and species segregation in diffusion-limited pair annihilation
We consider a system of q diffusing particle species A_1,A_2,...,A_q that are
all equivalent under a symmetry operation. Pairs of particles may annihilate
according to A_i + A_j -> 0 with reaction rates k_{ij} that respect the
symmetry, and without self-annihilation (k_{ii} = 0). In spatial dimensions d >
2 mean-field theory predicts that the total particle density decays as n(t) ~
1/t, provided the system remains spatially uniform. We determine the conditions
on the matrix k under which there exists a critical segregation dimension
d_{seg} below which this uniformity condition is violated; the symmetry between
the species is then locally broken. We argue that in those cases the density
decay slows down to n(t) ~ t^{-d/d_{seg}} for 2 < d < d_{seg}. We show that
when d_{seg} exists, its value can be expressed in terms of the ratio of the
smallest to the largest eigenvalue of k. The existence of a conservation law
(as in the special two-species annihilation A + B -> 0), although sufficient
for segregation, is shown not to be a necessary condition for this phenomenon
to occur. We work out specific examples and present Monte Carlo simulations
compatible with our analytical results.Comment: latex, 19 pages, 3 eps figures include
ΠΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΠΎΠ΄Ρ ΠΎΠ΄Ρ ΠΊ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΎΡΠ΅Π·ΠΈΡΡΠΈΠ²Π½ΠΎΠΉ ΠΌΠ°ΡΠΊΠΈ Π² Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ Π»ΠΈΡΠΎΠ³ΡΠ°ΡΠΈΠΈ
The article gives an overview of the main currently used models for the formation of photoresist masks and the problems in which they are applied. The main stages of Β«full physicalΒ» modeling of mask formation are briefly considered in the case of both traditional DNQ photoresists and CA photoresists. The concept of compact models (VT5 and CM1), which predict the contour of the resist mask for a full-sized device topology is considered. Examples of some calculations using both full physical modeling and compact models are given. Using a full physical modeling of the resist mask formation the lithographic stack was optimized for a promising technological process. The optimum thickness ratios for the binary BARC used in the water immersion lithographic process are found. The problem of determining the optimal number of calibration structures that maximally cover the space of aerial image parameters was solved. To solve this problem, cluster analysis was used. Clustering was carried out using the k-means method. The optimal sample size was from 300 to 350 structures, the mean square error in this case is 1.4 nm, which slightly exceeds the noise of the process for 100 nm structures. Using SEM images for calibrating the VT5 model allows reducing the standard error of 40 structures to 1.18 nm.Π ΡΡΠ°ΡΡΠ΅ Π΄Π°Π½ ΠΎΠ±Π·ΠΎΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΎΡΠ΅Π·ΠΈΡΡΠΈΠ²Π½ΠΎΠΉ ΠΌΠ°ΡΠΊΠΈ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ, ΠΈ Π·Π°Π΄Π°Ρ, Π² ΠΊΠΎΡΠΎΡΡΡ
ΠΎΠ½ΠΈ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ. ΠΡΠ°ΡΠΊΠΎ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΡΠ°ΠΏΡ Β«ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎΒ» ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ°ΡΠΊΠΈ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π½Π° ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΡΠΈΠ½ΡΠΈΠΏΠ°Ρ
, Π² ΡΠ»ΡΡΠ°Π΅ ΠΊΠ°ΠΊ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΡ
Π½Π°ΡΡΠΎΡ
ΠΈΠ½ΠΎΠ½Π΄ΠΈΠ°Π·ΠΈΠ΄ΠΎΠ²ΡΡ
ΡΠΎΡΠΎΡΠ΅Π·ΠΈΡΡΠΎΠ², ΡΠ°ΠΊ ΠΈ ΡΠΎΡΠΎΡΠ΅Π·ΠΈΡΡΠΎΠ² Ρ Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΡΠΈΠ»Π΅Π½ΠΈΠ΅ΠΌ. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΡ
Π² Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΊΠΎΠΌΠΏΠ°ΠΊΡΠ½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΠΏΡΠ΅Π΄ΡΠΊΠ°Π·ΡΠ²Π°ΡΡΠΈΡ
ΠΊΠΎΠ½ΡΡΡ ΡΠΎΡΠΎΡΠ΅Π·ΠΈΡΡΠΈΠ²Π½ΠΎΠΉ ΠΌΠ°ΡΠΊΠΈ Π΄Π»Ρ ΠΏΠΎΠ»Π½ΠΎΡΠ°Π·ΠΌΠ΅ΡΠ½ΠΎΠΉ ΡΠΎΠΏΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΠ·Π΄Π΅Π»ΠΈΡ, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ, ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ VT5 (Variable Threshold 5) ΠΈ CM1 (Compact Modelβ1). ΠΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΏΡΠΈΠΌΠ΅ΡΡ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΡΠ°ΡΡΠ΅ΡΠΎΠ² Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΊΠ°ΠΊ ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ°ΡΠΊΠΈ, ΡΠ°ΠΊ ΠΈ ΠΊΠΎΠΌΠΏΠ°ΠΊΡΠ½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ. ΠΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΠΏΠΎΠ»Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΎΡΠΎΡΠ΅Π·ΠΈΡΡΠΈΠ²Π½ΠΎΠΉ ΠΌΠ°ΡΠΊΠΈ Π±ΡΠ» ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ Π»ΠΈΡΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΡΠ΅ΠΊ Π΄Π»Ρ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°. ΠΠ°ΠΉΠ΄Π΅Π½Ρ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΎΠ»ΡΠΈΠ½ Π΄Π»Ρ Π±ΠΈΠ½Π°ΡΠ½ΠΎΠ³ΠΎ Π°Π½ΡΠΈΠΎΡΡΠ°ΠΆΠ°ΡΡΠ΅Π³ΠΎ ΡΠ»ΠΎΡ, ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΠΎΠ³ΠΎ Π² Π»ΠΈΡΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅ Ρ Π²ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠΌΠΌΠ΅ΡΡΠΈΠ΅ΠΉ. ΠΡΠΈ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠ΅ ΠΊΠΎΠΌΠΏΠ°ΠΊΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ VT5 ΡΠ΅ΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ Π²ΡΠ±ΠΎΡΠΊΠΈ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΎΡΠ½ΡΡ
ΡΡΡΡΠΊΡΡΡ, ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎ ΠΎΡ
Π²Π°ΡΡΠ²Π°ΡΡΠΈΡ
ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²ΠΎ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΎΠΏΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΡΡΡΠΊΡΡΡ. ΠΠ»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΊΠ°Π·Π°Π½Π½ΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ ΠΊΠ»Π°ΡΡΠ΅ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·. ΠΠ»Π°ΡΡΠ΅ΡΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ k-ΡΡΠ΅Π΄Π½ΠΈΡ
. ΠΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΉ ΡΠ°Π·ΠΌΠ΅Ρ Π²ΡΠ±ΠΎΡΠΊΠΈ ΡΠΎΡΡΠ°Π²ΠΈΠ» ΠΎΡ 300 Π΄ΠΎ 350 ΡΡΡΡΠΊΡΡΡ, ΡΡΠ΅Π΄Π½Π΅ΠΊΠ²Π°Π΄ΡΠ°ΡΠΈΡΠ½Π°Ρ ΠΎΡΠΈΠ±ΠΊΠ° ΠΏΡΠΈ ΡΡΠΎΠΌ ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ 1,4 Π½ΠΌ, ΡΡΠΎ Π½Π΅Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΏΡΠ΅Π²ΡΡΠ°Π΅Ρ ΡΡΠΌ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π΄Π»Ρ 100 Π½ΠΌ ΡΡΡΡΠΊΡΡΡ. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π‘ΠΠ-ΠΊΠΎΠ½ΡΡΡΠΎΠ² ΠΏΡΠΈ ΠΊΠ°Π»ΠΈΠ±ΡΠΎΠ²ΠΊΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ VT5 ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ½ΠΈΠ·ΠΈΡΡ ΡΡΠ΅Π΄Π½Π΅ΠΊΠ²Π°Π΄ΡΠ°ΡΠΈΡΠ΅ΡΠΊΡΡ ΠΎΡΠΈΠ±ΠΊΡ ΠΏΠΎ 40 ΡΡΡΡΠΊΡΡΡΠ°ΠΌ Π΄ΠΎ 1,18 Π½ΠΌ
Fluctuation Kinetics in a Multispecies Reaction-Diffusion System
We study fluctuation effects in a two species reaction-diffusion system, with
three competing reactions , ,
and . Asymptotic density decay rates are calculated
for using two separate methods - the Smoluchowski approximation, and
also field theoretic/renormalisation group (RG) techniques. Both approaches
predict power law decays, with exponents which asymptotically depend only on
the ratio of diffusion constants, and not on the reaction rates. Furthermore,
we find that, for , the Smoluchowski approximation and the RG improved
tree level give identical exponents. However, whereas the Smoluchowski approach
cannot easily be improved, we show that the RG provides a systematic method for
incorporating additional fluctuation effects. We demonstrate this advantage by
evaluating one loop corrections for the exponents in , and find good
agreement with simulations and exact results.Comment: LaTeX file (41 pages) + 13 postscript figures, uuencode