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1 method is generally applicable to enzyme and chemical kinetics.
2 scale coarse-grained governing equations for chemical kinetics.
3 nked to a phase separation process driven by chemical kinetics.
4 ents in order to provide measurements of the chemical kinetics.
5 nter into the rate equations of conventional chemical kinetics.
6 , knowledge is available concerning relevant chemical kinetics.
7 d to identifying the molecular mechanism and chemical kinetics.
8 e polarization transfer catalyst dictated by chemical kinetics.
9                 Such dependence is unique in chemical kinetics.
10 ations and their synchronization in terms of chemical kinetics.
11 sional mixing that permits the study of fast chemical kinetics.
12 w quantum states whose energetics can modify chemical kinetics.
13 ple model of differential equations based on chemical kinetics accurately predicts the outcomes of th
14                     Classical arguments from chemical kinetics allow us to specify the nonlinearities
15                                 Their slower chemical kinetics allows processive motility and a high
16  of reaction belongs to a class of nonlinear chemical kinetics also linked to chaos, wave propagation
17  We report here, to our knowledge, the first chemical kinetics analysis for S-S phase transition of t
18 ependent low-Mach-number model with detailed chemical kinetics and a mixture model for differential s
19                               We discuss how chemical kinetics and architecture can be designed to ge
20             Gene networks involve stochastic chemical kinetics and are far from equilibrium.
21                                     Applying chemical kinetics and atomic force microscopy to the ass
22                                     Applying chemical kinetics and atomic force microscopy to the ass
23 sion mechanism is the result of intertwining chemical kinetics and condensate dynamics on transport i
24 study of enzyme reactivity, taking cues from chemical kinetics and dynamics studies of small molecule
25  density operators, but equations describing chemical kinetics and hydrodynamics may be nonlinear in
26  monitoring allows detailed investigation of chemical kinetics and mechanism.
27 rview of the current status of the theory of chemical kinetics and mechanisms for complex processes.
28    This article deals with the evaluation of chemical kinetics and photochemical data for use in atmo
29 uccessful learning of thermal properties and chemical kinetics and reconstruction of wave dynamics wi
30 ule self-assembly is largely governed by the chemical kinetics and thermodynamics of tubulin-tubulin
31  a simple process explicable by conventional chemical kinetics and transition-state theory.
32 reveals the presence of phenomena foreign to chemical kinetics, and calls for explanations of how enz
33 s from crystallography, mutational analysis, chemical kinetics, and computational analysis are consis
34 lecular concentrations, mobility parameters, chemical kinetics, and fluorescence photophysics.
35  fundamental governing principles in optics, chemical kinetics, and mass transport in the 3D printing
36  (anti-) cooperative collective behaviors in chemical kinetics, (anti-)ferromagnetic spin models in s
37                         The extension of the chemical kinetics approach allowed us to obtain the thic
38                                We review the chemical kinetics approach to determining the underlying
39                                   By using a chemical kinetics approach, we show that the mechanism o
40                 In this paper, inhomogeneous chemical kinetics are simulated by describing the concen
41                 Our approach is based on the chemical kinetics associated with the ambient ozonolysis
42        We introduce systematic approaches to chemical kinetics based on the use of phase-phase (log-l
43            A fundamental question is when do chemical kinetics become evolutionary dynamics?
44                             Using a detailed chemical kinetics box model, we find that to explain the
45  rates have long been suspected to depend on chemical kinetics, but have never been definitely measur
46 the transit through dark-state channels, the chemical kinetics can be dictated by a few polaritonic c
47 e we demonstrate that thermal properties and chemical kinetics can be learned directly from observing
48 ge for describing the dynamical behaviour of chemical kinetics, capable of modelling a variety of dig
49 compassing chemical physics, thermodynamics, chemical kinetics, catalysis, and kinetic modeling.
50 ctions of continuous-deterministic classical chemical kinetics (CCK) are typically ascribed to system
51                         Using this photo-bio-chemical kinetics code, we show that all three metabolis
52 up to a factor of 2.8) owing to the close to chemical kinetics-controlled condition.
53 for the theoretical treatment of first-order chemical kinetics coupled to interfacial charge transfer
54 ed biochemistry, we used basic principles of chemical kinetics coupled with quantitative measurements
55  element simulations indicate that the rapid chemical kinetics created by this approach contributes t
56  are based on chemical schemes which require chemical kinetics data for the elementary reactions invo
57 etration of gases and particles, analysis of chemical kinetics data, and design of fluid reactors, de
58 nd interpreted in the context of theories of chemical kinetics developed in the past 25 years.
59 ns that are similar to the ones of classical chemical kinetics, expressed in terms of the stoichiomet
60 vities, enabling systematic investigation of chemical kinetics for different cavity-exciton detunings
61 lationships between classical and stochastic chemical kinetics for general biochemical systems with e
62 entified; however, little is known about the chemical kinetics for this system.
63               Finally, using the lens of the chemical kinetics framework, we look at the current olig
64 urrent computational procedures to determine chemical kinetics from first principles, thus by using n
65                                   The use of chemical kinetics has recently enabled highly accurate q
66 ecular dynamics, molecular interactions, and chemical kinetics in biological systems.
67 ilitated by direct, real-time observation of chemical kinetics in the atomic structure.
68 roplets have challenged our understanding of chemical kinetics in these microscopic systems.
69 e of hydrogen bonding and to NMR methods for chemical kinetics, including 2D-EXSY spectroscopy.
70  utility of the DGA for analyzing stochastic chemical kinetics, including a wide variety of problems
71 e presence of an enzyme allowed quantitative chemical kinetics information on enzymatic processes to
72 conceptual model that takes into account the chemical kinetics involved with PS-mediated Fe acquisiti
73      Catalyst supports simulating stochastic chemical kinetics (jump process), chemical Langevin equa
74                                   We present chemical kinetics measurements of the luminol oxidation
75                      We generated a detailed chemical kinetics model for the decomposition reaction b
76                           Predictions from a chemical kinetics model indicate that gas-particle parti
77                                 We develop a chemical kinetics model that quantitatively captures how
78                        For the first time, a chemical kinetics model was developed to explain behavio
79 Here we synthesize the literature, develop a chemical kinetics model, and use seven sets of laborator
80 means of a quasi-one-dimensional (1D) plasma chemical kinetics model.
81  the data on site-directed mutants using the chemical-kinetics model provides information on the stru
82 it with three kinds of models--a three-state chemical-kinetics model, a physical-kinetics model, and
83                                      Using a chemical kinetics modeling approach, the authors develop
84 ents based on first principles transport and chemical kinetics models as well as accurate reconstruct
85 to compute Fisher information for stochastic chemical kinetics models without the need for Monte Carl
86 ng to constrain and better validate detailed chemical kinetics models.
87 e Fisher information matrices for stochastic chemical kinetics models.
88  and parameter identifiability in stochastic chemical kinetics models.
89 ation into the inhibition mechanism(s) using chemical kinetics, native mass spectrometry, fluorescenc
90                 Here, using a combination of chemical kinetics, NMR spectroscopy and other biophysica
91                           We investigate the chemical kinetics of hot magmatic gases mixing with air.
92 e radical" polymer melt as a function of the chemical kinetics of its formation.
93                                          The chemical kinetics of organic nitrate production during n
94 nsistent with both models and with classical chemical kinetics of solution species.
95                                          The chemical kinetics of the gas-phase reaction of alpha-end
96                                          The chemical kinetics of the in-situ reaction in the microfl
97 dust should have a significant effect on the chemical kinetics of the outer nebula by introducing red
98 vision, have long been investigated, but the chemical kinetics of the thermal decay of rhodopsin has
99 hich nanocrystal doping is determined by the chemical kinetics of three activation-controlled process
100            It has been hypothesized that the chemical kinetics of transcription factor/DNA interactio
101 ns for the study of the influence of coupled chemical kinetics on the voltammetric response.
102 nnot be explained using either deterministic chemical kinetics or simple Gaussian noise approximation
103 he interplay between transport phenomena and chemical kinetics, predicting optimization is a challeng
104               In this review, we discuss how chemical kinetics provides a powerful tool for studying
105 ns in population genetics, biochemistry, and chemical kinetics (reaction-diffusion systems).
106 us aerosols and microdroplets exhibit unique chemical kinetics relative to the bulk phase, impacting
107         The model is applied to the study of chemical kinetics relevant for application to hypersonic
108                                              Chemical kinetics simulations link the elementary reacti
109 anges of the networks are well reproduced by chemical kinetics simulations that provide predictive be
110 n circuit uses the stochastic formulation of chemical kinetics, stochastic mechanisms of gene express
111                                Deterministic chemical kinetics studied in the past has shown that bis
112       For high-temperature and high-pressure chemical kinetics studies, the shock tube is the reactor
113 ogic problems related to chronic diseases in chemical kinetics terms.
114 of biological phenomena by reducing detailed chemical kinetics to a discrete, finite form.
115  paper, we employ the stochastic approach to chemical kinetics to construct the pause time distributi
116  model that incorporates active stresses and chemical kinetics to evaluate the observed timescales.
117 present a model based on first principles of chemical kinetics to explain how biologically mediated t
118  We use data from mRNA expression arrays and chemical kinetics to formulate a metabolic model relevan
119 atistical formulations, which do not exploit chemical kinetics to guide inference.
120               We use equilibrium analysis of chemical kinetics to obtain functional forms that are in
121 e, we combine microfluidic measurements with chemical kinetics to study a-synuclein disaggregation.
122                             Here, we applied chemical kinetics to study the mechanism of amyloid asse
123 rategy to apply the conventional workflow of chemical kinetics to the aggregation of the Abeta40 pept
124                                      When do chemical kinetics turn into evolutionary dynamics?
125                                         This chemical kinetics view is difficult to reconcile with ob
126                                        Using chemical kinetics we dissect the molecular mechanism of
127 tatistical mechanics, computer modeling, and chemical kinetics, we show that the catalytic structure
128 process is not described by the conventional chemical kinetics, which is only valid in the limit that
129  to obey the laws of conventional stochastic chemical kinetics, while the clustered membrane receptor
130 enzyme reaction rate explicitly by combining chemical kinetics with magnetic field-dependent spin kin
131                         By bringing together chemical kinetics with measurements of tau seeds and agg
132 tion of QET-MS to the study of heterogeneous chemical kinetics with the reaction of gas phase O(3) an

 
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