Susan E Henkelis1, Michal Mazur2, Cameron M Rice1, Paul S Wheatley1, Sharon E Ashbrook1, Russell E Morris1,2. 1. School of Chemistry and EaStCHEM , University of St. Andrews , North Haugh , St. Andrews , Fife KY16 9ST , United Kingdom. 2. Department of Physical and Macromolecular Chemistry Faculty of Sciences , Charles University , Hlavova 8 , 128 43 Prague 2, Czech Republic.
Abstract
The hydrolysis (disassembly, D) and rearrangement (organization, O) steps of the assembly-disassembly-organization-reassembly (ADOR) process for the synthesis of zeolites have been studied. Germanium-rich UTL was subjected to hydrolysis conditions in water to understand the effects of temperature (100, 92, 85, 81, 77, and 70 °C). Samples were taken periodically over an 8-37 h period, and each sample was analyzed by powder X-ray diffraction. The results show that the hydrolysis step is solely dependent on the presence of liquid water, whereas the rearrangement is dependent on the temperature of the system. The kinetics have been investigated using the Avrami-Erofeev model. With increasing temperature, an increase in the rate of reaction for the rearrangement step was observed, and the Arrhenius equation was used to ascertain an apparent activation energy for the rearrangement from the kinetic product of the disassembly (IPC-1P) to the thermodynamic product of the rearrangement (IPC-2P). From this information, a mechanism for this transformation can be postulated.
The hydrolysis (disassembly, D) and rearrangement (organization, O) steps of the assembly-disassembly-organization-reassembly (ADOR) process for the synthesis of zeolites have been studied. Germanium-rich UTL was subjected to hydrolysis conditions in water to understand the effects of temperature (100, 92, 85, 81, 77, and 70 °C). Samples were taken periodically over an 8-37 h period, and each sample was analyzed by powder X-ray diffraction. The results show that the hydrolysis step is solely dependent on the presence of liquid water, whereas the rearrangement is dependent on the temperature of the system. The kinetics have been investigated using the Avrami-Erofeev model. With increasing temperature, an increase in the rate of reaction for the rearrangement step was observed, and the Arrhenius equation was used to ascertain an apparent activation energy for the rearrangement from the kinetic product of the disassembly (IPC-1P) to the thermodynamic product of the rearrangement (IPC-2P). From this information, a mechanism for this transformation can be postulated.
A newly developed method
for the synthesis of new zeolites coined
the assembly–disassembly–organization–reassembly
(ADOR) process has become well established in producing new zeolites
that would not have been feasible through traditional routes (Scheme ).[1−7]
Scheme 1
Schematic of the First Confirmed Case of Utilizing the ADOR Process
to Afford New Zeolites
Parent Ge-UTL is
disassembled
through hydrolysis into IPC-1P and then suitably rearranged into IPC-4
(PCR) or IPC-2 (OKO). IPC-4 is made up of direct oxygen linkages.
IPC-2 consists of IPC-1P silicate layers connected by s4r. At the
time of primary publication, these frameworks could not be made through
traditional hydrothermal synthesis.
Schematic of the First Confirmed Case of Utilizing the ADOR Process
to Afford New Zeolites
Parent Ge-UTL is
disassembled
through hydrolysis into IPC-1P and then suitably rearranged into IPC-4
(PCR) or IPC-2 (OKO). IPC-4 is made up of direct oxygen linkages.
IPC-2 consists of IPC-1P silicate layers connected by s4r. At the
time of primary publication, these frameworks could not be made through
traditional hydrothermal synthesis.Parent
zeolites prepared for the ADOR process must have suitable
chemical and physical properties in order to produce new daughter
zeolites. Such properties include the presence of double four rings
(d4r) with germanium preferentially located within them.[8,9] Zeolites that have been successfully used in the ADOR process include UTL,[2,6,7]ITH,[4]ITR,[4]IWR,[4]IWW,[5]UOV,[10,11] and recently discovered SAZ-1[12] (Figure ). All zeolites that
contain Ge-rich d4r units, which we tested to date, can be successfully
disassembled. However, not all have been successfully reassembled
as yet. The layered intermediates that are formed on the disassembly
of zeolites such as UTL seem to be relatively easy to
manipulate to form new structures. However, these d4r-containing zeolites
that disassemble into clusters (and not layers), such as polymorph
C of zeolite beta, are much more difficult to organize and reassemble
successfully.
Figure 1
Double four ring (d4r) containing germanosilicates used
successfully
in the ADOR process.
Double four ring (d4r) containing germanosilicates used
successfully
in the ADOR process.The ADOR process has four main steps (Scheme ). First, assembly (A) is the formation of
the predetermined parent zeolite containing the required structural
features. Research so far has centered on zeolites that consist of
dense silicate layers connected by germanium-rich cubic d4r building
units.
Scheme 2
ADOR Mechanism of IPC-2 Zeolite Synthesis
Assembly: predetermined parent
zeolite Ge-UTL is produced. Disassembly: germanium is selectively
hydrolyzed, leading to the breakdown of the d4r to form layered material
IPC-1P. Organization: the IPC-1P layers are suitably reorientated
through a self-organization process to form IPC-2P. Reassembly: new
silicate bonds are formed between the layers to afford IPC-2 upon
calcination. Si, blue; Ge, green; and O, red.
ADOR Mechanism of IPC-2 Zeolite Synthesis
Assembly: predetermined parent
zeoliteGe-UTL is produced. Disassembly: germanium is selectively
hydrolyzed, leading to the breakdown of the d4r to form layered material
IPC-1P. Organization: the IPC-1P layers are suitably reorientated
through a self-organization process to form IPC-2P. Reassembly: new
silicate bonds are formed between the layers to afford IPC-2 upon
calcination. Si, blue; Ge, green; and O, red.The second step, disassembly (D), involves the removal of Ge-rich
d4r by aqueous or acid hydrolysis to produce a layered intermediate
species (IPC-1P). The weakness in Ge–O–Ge and Ge–O–Si
bonds allows for the facile hydrolysis of Ge and the collapse or “unzipping”
of the 3D layered framework to form dense silicate-rich layers (Scheme ).[13,14]
Scheme 3
Hydrolysis of Ge-UTL over the Course of 1 h
After 1 min, the hydrolysis
is 60% complete with ca. 60% of the d4r selectively hydrolyzed. After
1 h, the hydrolysis has come to completion to form IPC-1P layers.
Hydrolysis of Ge-UTL over the Course of 1 h
After 1 min, the hydrolysis
is 60% complete with ca. 60% of the d4r selectively hydrolyzed. After
1 h, the hydrolysis has come to completion to form IPC-1P layers.The layered species, IPC-1P, can then undergo
several different
fates depending on the choice of reaction conditions. First, it can
be directly reassembled (R) to form a fully connected zeolite called
IPC-4 (Scheme ). To
get a highly crystalline zeolite from the reassembly step, the IPC-1P
has to be well organized, either through the intercalcation of a structure-directing-agent
(SDA) or by leaving the IPC-1P for the right amount of time so that
it self-organizes. Alternatively, it is possible to intercalate extra
silicon between the layers to form a new zeolite precursor called
IPC-2P. This zeolite can also form if IPC-1P is left under certain
conditions.[1,7,15,16] It is this process that is the major target of this
particular article.
Scheme 4
Organization Step by Intercalation with a Structure-Directing
Agent
(Top) or a Hydrolysis/Deintercalation and Self-Rearrangement in Acid
(Bottom)
The ADOR process has
previously been investigated using a range
of different techniques, including solid-state NMR spectroscopy,[17,18] in situ and ex situ pair distribution function (PDF) analysis,[19,20] and both in situ and ex situ powder X-ray diffraction (PXRD).[12,20,21]For the first time, we
present a kinetic analysis of the two most
prominent steps (D and O) in the ADOR process, found by sampling the
reaction and using powder X-ray diffraction to follow the evolution
of the lattice spacing with time. Each data set was fit with the Avrami–Erofeev
model, and the activation energy of the rearrangement (organization)
step was found to be 70.1 kJ mol–1.
Materials and Methods
Synthesis of Parent Ge-UTL with Molar Composition
0.8GeO2:0.4ROH:30H2O
Germanium dioxide
(7.75
g) was dissolved in an aqueous solution of (6R,10S)-6,20-dimethyl-5-azoniaspiro[4,5]decane hydroxide (12.7
g, H2O 100 mL, 0.625 M). Fumed silicon dioxide (8.90 g)
was added portionwise to the mixture over 30 min until a homogeneous
solution was formed. The gel was transferred to a Teflon-lined steel
autoclave and held at 175 °C for 7 days. The zeolite product
was collected by filtration, washed with water (200 mL), and dried
at 80 °C for 12 h. To remove the SDA, the as-synthesized zeolite
was calcined in a stream of air at 575 °C for 7 h with a temperature
ramp of 1 °C min–1.
Hydrolysis Procedure
All Ge-UTL used in
each reaction was afforded from one synthesis batch.Ge-UTL (600 mg) was added to water (120 mL) with stirring at
the desired temperature. The reaction mixture was stirred at the desired
temperature with aliquots taken every 1 min for 5 min, every 5 min
for up to 1 h, and then every 30 min until the rearrangement had gone
to completion (8–37 h). The collected samples were filtered,
dried on the filter for 1 min, and then dried at 80 °C for 5
min.
Characterization Techniques
Laboratory powder X-ray
diffraction data were collected on both a Panalytical Emperean diffractometer
monochromated with a curved Ge(111) crystal in reflectance mode and
a STOE STADIP operated in capillary Debye–Scherrer mode. Both
diffractometers operated with Cu Kα1 radiation.
Kinetic Analysis
The temperature dependence of the
hydrolysis (D) and rearrangement (O) processes in water was investigated
over a temperature range of 70–100 °C using the Avrami–Erofeev
model (eq ) and its
linear equivalent, the Sharp Hancock equation (eq ).The
effect of temperature on the system
was investigated on 100, 92, 85, 81, 77, and 70 °C. Samples were
taken periodically over an 8–37 h period, and analyzed by powder
X-ray diffraction to determine the level of reaction completion and
the daughter zeolite being produced (Figure ). Each sample at the designated time set
was analyzed by PXRD, and the location of the d200 peak was recorded. This peak represents the interlayer
distance between the dense silicate-rich layers and as such provides
valuable information on the status of the reaction, allowing one to
elucidate the level of completion at that time and the rate of reaction
for each data set.
Figure 2
Change in d200 interlayer
spacing for
the hydrolysis and rearrangement steps for the reaction of Ge-UTL in water with increasing temperature: 100 °C, black
squares; 92 °C, green stars; 85 °C, red circles; 81 °C,
teal pentagons; 77 °C, orange diamonds; and 70 °C, blue
triangles. All data points were fit with an error of ±0.2 Å.
See reference (31) for
full protocol.
Change in d200 interlayer
spacing for
the hydrolysis and rearrangement steps for the reaction of Ge-UTL in water with increasing temperature: 100 °C, black
squares; 92 °C, green stars; 85 °C, red circles; 81 °C,
teal pentagons; 77 °C, orange diamonds; and 70 °C, blue
triangles. All data points were fit with an error of ±0.2 Å.
See reference (31) for
full protocol.The Avrami–Erofeev
model is well established for modeling
solid-state kinetics as it can specifically describe the kinetics
for crystallization and the method and direction of growth of the
nucleates. It is well known to be used to monitor phase transitions
and understand the mechanism of intercalation/rearrangement processes.[22−28]For each reaction carried out, the Avrami–Erofeev model
was fitted to experimental data to calculate the reaction exponent, n, and the rate constant, k. The extent
of reaction, α, was measured using the change in the interlayer d spacing normalized to between 0 and 1.
Results and Discussion
Hydrolysis
of Ge-UTL
The hydrolysis of
Ge-UTL in water can be mapped through PXRD, and a change
in d spacing from UTL (14.48 Å)
to disordered layered material IPC-1P (10.54 Å) can be clearly
seen. The extent of reaction vs time was plotted for the reactions
run at 100, 92, 85, 81, 77, and 70 °C, and each plot was fitted
with the Avrami–Erofeev model (Figure ). The ratio of zeolite/water is an important
factor to be considered because significantly reducing the amount
of water effectively reduces the rate of hydrolysis (D), and under
low-volume conditions (1 g/8 mL), the material never fully hydrolyzes
to IPC-1P. In this work, a ratio of 1 g/200 mL for zeolite/water was
used to ensure full hydrolysis.
Figure 3
Extent of reaction, α, plotted against
time for the hydrolysis
(D) step: 100 °C, black squares; 92 °C, green stars; 85
°C, red circles; 81 °C, teal pentagons; 77 °C, orange
diamonds; 70 °C, blue triangles. Each plot was fitted with the
Avrami–Erofeev model.
Extent of reaction, α, plotted against
time for the hydrolysis
(D) step: 100 °C, black squares; 92 °C, green stars; 85
°C, red circles; 81 °C, teal pentagons; 77 °C, orange
diamonds; 70 °C, blue triangles. Each plot was fitted with the
Avrami–Erofeev model.From both the initial PXRD data and the subsequent Avrami
plots,
it is clear to see that the hydrolysis step is not dependent on the
temperature of the reaction system. The Avrami exponent n (nAE) was found to be <1 for each
temperature (Table 1 in the SI). An Avrami
exponent that is this low can normally be attributed to diffusion-controlled
1D growth. In this case, because the rate of reaction is so fast and
we see a 60% collapse of d4r within 1 min, the results from the fit
are unsuitable for further analysis. The minor changes in reaction
time can be attributed to human error, such as changes in mixing and
time of addition of the parent zeolite.Although the rate constant k (kAE) is unreliable, because
of the rapid rate of hydrolysis/deintercalation
(as seen by a change in d spacing), we can assume
that the mechanism proceeds without having to overcome a high activation
barrier, again suggesting that temperature is not a requirement for
the hydrolysis and solely depends on the availability of liquid water.As d4r collapse, the material moves through a new species we coin
Ge-IPC-2P* (formed after 1 min). This is effectively a single four
ring (s4r) containing IPC-2P structure but with germanium still residing
between the layers, creating local disorder (Si/Ge 10.7). As such,
this material has a broad d200 peak in
the XRD patterns.Occasionally described as a more reliable
solid-state model for
finding n, the Sharp Hancock method[29] (SI Figure 1) was applied by
taking natural logarithms of the Avrami–Erofeev equation and
the values of n (nSH)
and k (kSH) compared
for each model (SI Table 1). Again, because
of the reaction rate, the results obtained are unsuitable and further
analysis using in situ techniques is needed to monitor the hydrolysis
mechanism on a second time scale.
Rearrangement to IPC-2P
Once the hydrolysis from Ge-UTL to IPC-1P was complete,
various induction times can be
seen before the full rearrangement to IPC-2P through an the IPC-6P
intermediate. IPC-6P is a s4r and direct oxygen linkage containing
daughter zeolite. As such, it contains layers of IPC-2P and layers
of IPC-1P (Figure ). Because of this, the d200 peak in
the powder pattern becomes broader
Figure 4
IPC-6 framework with alternating layers
of s4r and direct oxygen
bridges. s4r, green box; direct oxygen bridges, pink box.
IPC-6 framework with alternating layers
of s4r and direct oxygen
bridges. s4r, green box; direct oxygen bridges, pink box.A clear temperature dependence on the system can
be seen with reaction
times increasing from 2 to 22 h as the temperature decreases from
100 to 70 °C. As the temperature increases, the time taken to
induct decreases dramatically, with 70 °C inducting for 20 h
and 100 °C inducting for only 1 h.The Avrami–Erofeev
model was fit to the extent of reaction
data, where t – tind was taken to be the point at which the induction came to an end
and the intercalation began (Figure ).
Figure 5
Extent of reaction, α, plotted against time for
the rearrangement
(O) step: 100 °C, black squares; 92 °C, green stars; 85
°C, red circles; 81 °C, teal pentagons; 77 °C, orange
diamonds; and 70 °C, blue triangles. Each plot was fitted to
the Avrami–Erofeev model.
Extent of reaction, α, plotted against time for
the rearrangement
(O) step: 100 °C, black squares; 92 °C, green stars; 85
°C, red circles; 81 °C, teal pentagons; 77 °C, orange
diamonds; and 70 °C, blue triangles. Each plot was fitted to
the Avrami–Erofeev model.The Avrami exponent, n, was found to be
3 for
100 °C and 2 for all lower temperatures. Because the atomic nuclei
are preformed in all cases, the growth is restricted to three dimensions
(n = 3) and two dimensions (n =
2). As such, the rearrangement of silicates into the layers is occurring
along the x, y, and z axes when n = 3, ultimately forming a 3D connected
framework. However, when n = 2, rearrangement occurred
only along the x/y, x/z, or y/z axes
at any one time, which will slow the rate of forming the fully connected
3D true zeolite. The rate constant, k, decreases
from 0.510 min–1 at 100 °C to 0.391, 0.233,
0.150, 0.103, and 0.087 min–1 at 92, 85. 81, 77,
and 70 °C, respectively. The data was once again compared against
the Sharp Hancock model, and the values for n and k were compared (SI Figure 2
and Table 2).The activation energy, Ea, was calculated
to be 70.1 kJ mol–1 (Figure ). This was extrapolated from a plot of ln(k) against T–1 based
on the Arrhenius equation (eq ). This activation energy is relatively high in comparison
to the intercalation mechanisms of other layered materials. For example,
the activation energy required for chlorophenoxyacetates
to intercalate (rearrange) into double-layered hydroxides is 43, 53.6,
and 61.7 kJ mol–1. The increase in activation energy
is linearly dependent on the size of the chlorophenoxyacetate introduced.
This suggests that the energy needed for silicates to rearrange into
the layers is high and may be due to the close proximity of the IPC-1Phydrogen-bonded layers. The values of k were taken
from the Avrami fittings.
Figure 6
Arrhenius plot of ln(k) vs T–1 to attain an
activation energy of 70.1 kJ mol–1 for the rearrangement
from IPC-1P to IPC-2P.
Arrhenius plot of ln(k) vs T–1 to attain an
activation energy of 70.1 kJ mol–1 for the rearrangement
from IPC-1P to IPC-2P.
From Where Does the Silicon Rearrange?
Understanding
from where the silicon rearranges is imperative to fully understanding
the mechanism. An experiment was devised to quantify whether the silicon
rearranged from silicates present in the solution after hydrolysis
or from the silicon in the silica-rich layers.Using the 100
°C reaction in water as a standard, once hydrolysis was complete
at 1 h 30 min, the suspension was filtered to remove the silicate-rich
solution and replaced with fresh water at a certain temperature (known
herein as 100 °C with fresh water). The removal of the silicate
solution leads to a change in the IPC-1P material, which is likely
to be a subzeolite[30] in the first instance,
with a small interlayer distance. This material is similar to a solid
termed IPC-1, which was the first microporous zeolite to be produced
through ADOR. IPC-1 is a very disordered structure that is produced
from the disassembly of B-UTL after calcination.[6] This material can be visualized by the interlocking
of one’s fingers, where the palms of the hands are the silica-rich
layers and fingers are the silanol groups on the surface of the layers.
After reacting for another 5 h, the layers have rearranged to IPC-2P
(Figure ).
Figure 7
Change in d200 interlayer spacing for
the hydrolysis and rearrangement steps: 100 °C, black squares;
100 °C with fresh water replaced at 90 min, pink circles.
Change in d200 interlayer spacing for
the hydrolysis and rearrangement steps: 100 °C, black squares;
100 °C with fresh water replaced at 90 min, pink circles.As all sources of silicon in solution
have been removed, we can
say that the silicon must be rearranging from the silicon-rich layers,
thus potentially causing defect sites (Scheme ).
Scheme 5
Change in Structure with a Change
in Solution
Disassembly: Ge-UTL is first hydrolyzed to IPC-1P. Organization: The layers then self-rearrange
to IPC-2P. Condensation: The layers condense further to form a subzeolite
of IPC-1P, termed IPC-1, and then self-rearrange to IPC-2P. Reassembly:
Formation of silicate bonds between IPC-2P to form IPC-2.
Change in Structure with a Change
in Solution
Disassembly: Ge-UTL is first hydrolyzed to IPC-1P. Organization: The layers then self-rearrange
to IPC-2P. Condensation: The layers condense further to form a subzeolite
of IPC-1P, termed IPC-1, and then self-rearrange to IPC-2P. Reassembly:
Formation of silicate bonds between IPC-2P to form IPC-2.The change in reaction time can be quantified. When
the silicon
rearranges from the layers, the time taken to rearrange from IPC-1P
increases from 2 to 6 h 30 min, thus affirming that the rearrangement
from silicates present in solution due to the breakdown of the d4r
is the preferred method. The kinetics were once again analyzed by
the Avrami–Erofeev model (Figure ), and the Avrami exponent n, for 100 °C_fresh water was found to be 1, thereby controlling
the growth in only one dimension. The rate constant, k, was found to be similar to that of the 92 °C reaction, with
a rate constant of 0.405 min–1.
Figure 8
Extent of reaction, α,
plotted against time for the rearrangement
(O) step: 100 °C, black squares; 100 °C fresh water; pink
circles. Both plots were fitted with the Avrami–Erofeev model.
Extent of reaction, α,
plotted against time for the rearrangement
(O) step: 100 °C, black squares; 100 °C fresh water; pink
circles. Both plots were fitted with the Avrami–Erofeev model.As rearrangement to IPC-2P is
favored even when there are no silica
species present, we can conclude that IPC-1P is the kinetic product
and IPC-2P is the thermodynamic product (Scheme ).
Scheme 6
Each Step in the ADOR Process for
Ge-UTL when Hydrolysis Is Carried
out at 100 °C in Water, with All Intermediate Materials Shown
Pathway 1 shows the rearrangement
when silicates are present in solution. Pathway 2 shows the rearrangement
following replacement with fresh water at 1 h 30 min.
Each Step in the ADOR Process for
Ge-UTL when Hydrolysis Is Carried
out at 100 °C in Water, with All Intermediate Materials Shown
Pathway 1 shows the rearrangement
when silicates are present in solution. Pathway 2 shows the rearrangement
following replacement with fresh water at 1 h 30 min.
Conclusions
Germanium-rich UTL was subjected
to hydrolysis conditions
in water as the medium to understand the effects of temperature (100,
92, 85, 81, 77, and 70 °C). Solid-state kinetic models, Avrami–Erofeev,
and Sharp Hancock were employed and it was found that the kinetics
of hydrolysis (D) is not dependent on the temperature of the reaction
system but is solely dependent on the presence of liquid water. The
rearrangement process, however, is directly dependent on temperature,
and with increasing temperature, an increase in the rate was observed.
Through use of the Avrami–Erofeev model, n was found to be 3 for 100 °C, 2 for all other temperatures,
and 1 when the silicate-rich solution is replaced with fresh water,
thus confining the growth to one, two, and three dimensions when n = 1, 2, and 3, respectively. The activation energy of
the rearrangement step was 70.1 kJ mol–1. When no
silicates are present in solution, the silicon rearranges from the
silica-rich layers and may cause defect sites throughout. As such,
IPC-1P is the kinetic product and IPC-2P is the thermodynamic product.The results we see from the kinetics study we describe here are
supported by other experimental techniques, and this gives us great
confidence that the protocol and analysis we provide give a good description
of the process as a whole. For example, aside from the PXRD data shown
here, we have monitored the ADOR process using NMR and TEM, as presented
in ref (31). Using 29Si NMR, the intensity of the Q4 and Q3 peaks was analyzed. The growth of the Q3 sites after
1 h suggested the formation of silanol groups on the surface of the
layers after disassembly. After 1 h, the Q3 peak then reduced
as the layers rearranged themselves. TEM was consistent with the XRD,
with a drop in d spacing over 1 h before increasing
again to form IPC-2P. In previous papers, we have discussed the importance
of investigating the local structure of the materials produced through
ADOR. We have shown that by using both in situ PDF and NMR the ADOR
process can be monitored and that the synthesis procedure needs to
be strictly monitored in order to produce consistent and comparable
results. We have seen the fast hydrolysis and induction period in
these studies, but because of the limitations of each technique, we
have never been able to show the whole D and O processes in one analysis.
By carefully developing this protocol and using the d spacing as a marker for the different structures present, we have
now shown that we can propose a mechanism that is supported by all
the other studies.
Authors: Wieslaw J Roth; Petr Nachtigall; Russell E Morris; Paul S Wheatley; Valerie R Seymour; Sharon E Ashbrook; Pavla Chlubná; Lukáš Grajciar; Miroslav Položij; Arnošt Zukal; Oleksiy Shvets; Jiří Cejka Journal: Nat Chem Date: 2013-06-02 Impact factor: 24.427
Authors: Wieslaw J Roth; Oleksiy V Shvets; Mariya Shamzhy; Pavla Chlubná; Martin Kubů; Petr Nachtigall; Jiří Čejka Journal: J Am Chem Soc Date: 2011-04-01 Impact factor: 15.419
Authors: Pavla Eliášová; Maksym Opanasenko; Paul S Wheatley; Mariya Shamzhy; Michal Mazur; Petr Nachtigall; Wieslaw J Roth; Russell E Morris; Jiří Čejka Journal: Chem Soc Rev Date: 2015-05-06 Impact factor: 54.564
Authors: Michal Mazur; Paul S Wheatley; Marta Navarro; Wieslaw J Roth; Miroslav Položij; Alvaro Mayoral; Pavla Eliášová; Petr Nachtigall; Jiří Čejka; Russell E Morris Journal: Nat Chem Date: 2015-10-26 Impact factor: 24.427
Authors: Paul S Wheatley; Pavla Chlubná-Eliášová; Heather Greer; Wuzong Zhou; Valerie R Seymour; Daniel M Dawson; Sharon E Ashbrook; Ana B Pinar; Lynne B McCusker; Maksym Opanasenko; Jiří Čejka; Russell E Morris Journal: Angew Chem Int Ed Engl Date: 2014-10-05 Impact factor: 15.336
Authors: Pavla Chlubná-Eliášová; Yuyang Tian; Ana B Pinar; Martin Kubů; Jiří Čejka; Russell E Morris Journal: Angew Chem Int Ed Engl Date: 2014-05-13 Impact factor: 15.336
Authors: Samantha E Russell; Susan E Henkelis; Simon M Vornholt; Daniel N Rainer; Karena W Chapman; Russell E Morris Journal: Mater Adv Date: 2021-10-13
Authors: Tomasz Pawlak; Isaac Sudgen; Grzegorz Bujacz; Dinu Iuga; Steven P Brown; Marek J Potrzebowski Journal: Cryst Growth Des Date: 2021-05-10 Impact factor: 4.076