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1 e as an excitable automaton network (F-actin automaton).
2 s until there is a draw or a victory for the automaton.
3 )which, in turn, affect the evolution of the automaton.
4 ng that simulates a one-dimensional cellular automaton.
5  can become established within the evolutive automaton.
6              A deoxyribozyme-based molecular automaton.
7             As a quantum-mechanical cellular automaton, a discrete-time quantum walk is defined to in
8 The small-molecule ratchet is a finite-state automaton: a special case(24) of a Turing machine that m
9  and multiply small numbers, and a molecular automaton able to diagnose Ebola and Marburg virus seque
10                            Modified cellular automaton and diffusion reaction models demonstrate prot
11 lso has some of the properties of a cellular automaton and shows an unexpected emergence of spatial p
12 des new conceptual insights into fuel-driven automatons and autonomous materials design.
13 DNA nanostructures, and enable the design of automatons and life-like systems of higher structural co
14  lattice-Boltzmann (LB) method is a cellular automaton approach to simulating fluid flow with many ad
15                        The employed cellular automaton-based computer model examines the life history
16 ta recently available, we present a cellular-automaton-based modeling framework focussing on high-lev
17                                       Unlike automatons building perfectly replicated hexagons, these
18 umour cells are modelled by using a cellular automaton (CA) approach, where each cell has its own int
19       We extended a two-dimensional cellular automaton (CA) Daisyworld to include mutation of optimal
20                                     Cellular automaton (CA) simulations are performed with Mathematic
21                      We describe a molecular automaton, called MAYA, which encodes a version of the g
22          In this sense, a physical Push-Down Automaton can be more powerful than a sequential physica
23                                          The automaton cannot be defeated because it implements a per
24                         We set up a cellular automaton computational model that simulates ECM penetra
25 dic control valve technology, a microfluidic automaton consisting of a two-dimensional microvalve cel
26                                   A cellular automaton constructed by Bak, Tang, and Wiesenfeld (BTW)
27                                          The automaton covers all possible responses to two consecuti
28 nsumption of a limiting nutrient; a cellular automaton describing cell migration, proliferation, and
29 tal simulation is based on a hybrid cellular automaton design using genetic rules to determine each c
30            An efficient deterministic finite automaton (DFA) based model is then developed to search
31 del of neuroblastoma comprising a continuous automaton, discrete cell agents, and a centre-based mech
32 arios is all the more remarkable because the automaton does not include many important physical proce
33 tent workers act as architects versus simple automatons during these irregular building scenarios.
34 plemented on a PDMS-based microfluidic chip (automaton), followed by single nucleic acid fluorescence
35 biologically driven discrete hybrid cellular automaton (HCA) model of bone metastatic prostate cancer
36                                         This automaton in turn controls the differentiation of the ce
37                                          The automaton is a Boolean network of deoxyribozymes that in
38 rategy that can be encoded by a finite state automaton is a possible mutant.
39 onstructing a discrete model like a cellular automaton is a powerful method for understanding various
40                A higher level of fuel-driven automaton is achieved by combining two subsystems for th
41                   A computer-based evolutive automaton is used to explore possible evolutionary scena
42 r, computationally equivalent to a Push-Down Automaton, is exponentially fast when implemented in mol
43            We use a newly developed cellular automaton model (ViSTA-HD), to evaluate the environmenta
44 e directly compared with a previous cellular automaton model and experimental measurements made at th
45 our primary scientific interests: a cellular automaton model for earthquakes, a multifractal random w
46             We present a stochastic cellular automaton model for the behavior of limb bud precartilag
47                 Here, we describe a cellular automaton model for this type of self-organization, in w
48 y simulating the RF response with a cellular automaton model immune system, we demonstrate that patho
49                            A hybrid cellular automaton model is described and used to simulate early
50 , discrete/continuous computational cellular automaton model of a generalised stem-cell driven tissue
51  I show that an empirically derived cellular automaton model of a rocky intertidal mussel bed based o
52 vel and versatile three-dimensional cellular automaton model of brain tumor growth.
53                        We present a cellular automaton model of clonal evolution in cancer aimed at i
54  developed a two-dimensional hybrid cellular automaton model of early brain tumor growth that couples
55                        We propose a cellular automaton model of solid tumour growth, in which each ce
56    Here we use a spatial stochastic cellular automaton model of tumour growth that accounts for somat
57      Using a two-dimensional hybrid cellular automaton model of tumour growth, we evaluate the effect
58       In this paper, we introduce a cellular automaton model of viral propagation based on the known
59 our arguments in an elasto-plastic model, an automaton model similar to those used in depinning, but
60                        We develop a cellular automaton model that tracks the temporal evolution of th
61                Here, we introduce a cellular automaton model to investigate the spatiotemporal spread
62  report the development of a hybrid cellular automaton model to mimic the growth of avascular tumours
63                 A three-dimensional cellular automaton model was developed, for the first time, to pr
64                        We propose a cellular automaton model where local rules focus on fertilization
65                             Using a cellular automaton model, 3D oxygen diffusion, delivery of radiat
66 a filamentous actin molecule as an excitable automaton network (F-actin automaton).
67  Computer simulations using a novel cellular-automaton network model provide quantitative insights in
68                  We implemented the cellular automaton on a two-dimensional (2D) square lattice to em
69                             Our microfluidic automaton provides a fully automated, portable microflui
70                               The continuous automaton represents the tumour microenvironment as a gr
71          The cycle of human player input and automaton response continues until there is a draw or a
72 inary counting and Turing universal cellular automaton Rule 110, the latter of which is, in principle
73                            Based on cellular automaton simulations we argue that the effect of group
74  findings are supported by explicit cellular automaton simulations, which justify the mean-field trea
75 n an on-lattice, hybrid, multiscale cellular automaton spanning three spatial dimensions.
76 ive microvessels as components of a cellular automaton state vector.
77 uild a multipurpose reprogrammable molecular automaton that goes beyond single-purpose 'hard-wired' m
78  as shown by the classic deoxyribozyme-based automaton that plays tic-tac-toe(42), to direct structur
79              The final output of a molecular automaton that successfully completes its analysis is th
80 ror correction procedure based on a cellular automaton, the sweep rule, which is applicable to a broa
81 describe a novel application of finite-state automaton to map Illumina short-read sequence data for i
82           The abelian sandpile is a cellular automaton which serves as the archetypical model to stud
83 lls are considered as elements of a cellular automaton, whose evolution rules are inspired by the dif
84  is assigned a bit at time 0 and is a finite automaton with m bits of memory (i.e., [Formula: see tex
85           Here, we propose a simple cellular automaton with power-law interactions that gives rise to
86                     A combination of a state automaton with stochastic local rules and a set of diffe
87 s, experimentally realizing a Dirac cellular automaton with tunable mass parameter.