Using time-resolved wide-angle X-ray scattering, we investigated the early stages (10 μs-1 ms) of crystallization of supercooled water, obtained by the ultrafast heating of high- and low-density amorphous ice (HDA and LDA) up to a temperature T = 205 K ± 10 K. We have determined that the crystallizing phase is stacking disordered ice (Isd), with a maximum cubicity of χ = 0.6, in agreement with predictions from molecular dynamics simulations at similar temperatures. However, we note that a growing small portion of hexagonal ice (Ih) was also observed, suggesting that within our timeframe, Isd starts annealing into Ih. The onset of crystallization, in both amorphous ice, occurs at a similar temperature, but the observed final crystalline fraction in the LDA sample is considerably lower than that in the HDA sample. We attribute this discrepancy to the thickness difference between the two samples.
Using time-resolved wide-angle X-ray scattering, we investigated the early stages (10 μs-1 ms) of crystallization of supercooled water, obtained by the ultrafast heating of high- and low-density amorphous ice (HDA and LDA) up to a temperature T = 205 K ± 10 K. We have determined that the crystallizing phase is stacking disordered ice (Isd), with a maximum cubicity of χ = 0.6, in agreement with predictions from molecular dynamics simulations at similar temperatures. However, we note that a growing small portion of hexagonal ice (Ih) was also observed, suggesting that within our timeframe, Isd starts annealing into Ih. The onset of crystallization, in both amorphous ice, occurs at a similar temperature, but the observed final crystalline fraction in the LDA sample is considerably lower than that in the HDA sample. We attribute this discrepancy to the thickness difference between the two samples.
Water
crystallization is a phenomenon of utmost importance in a
variety of areas, such as cloud formation,[1−3] food preservation,[4,5] and planetary sciences.[6] Nevertheless,
the early stages of water crystallization are not yet fully understood,
especially in the temperature range between ca. 160 K[7] and 232 K[8] (often called “no
man’s land”). The reason behind this is that water crystallizes
spontaneously as either end of the regime is approached, thus making
it challenging to induce and probe crystallization within no man’s
land. However, different approaches have been used in an attempt to
circumvent this problem and allow for experimental studies. By heating
crystalline[9] and amorphous ice,[7,10−15] crystallization rates have been studied in the lower temperature
region of “no man’s land” (T = 134–160 K).[6,13,14] Decreasing the sample size has been another approach as it hinders
crystallization, allowing for the supercooling of water. Studies then
use either nanoconfinement of water[16−23] or cooling of micrometer-[24−28] or nanometer-sized[29,30] droplets. Particularly, the use
of microdroplets has allowed for the exploration of the nucleation
rates down to 227 K,[24] whilst nanodroplets
have helped explore temperatures down to 200 K. However, nanodroplets
are affected by their high internal pressure and large surface to
volume ratio, making it hard to connect their behavior to that of
microdroplets.[31]In a more recent
study, transient heating of thin water films allowed
for the estimation of nucleation rates at temperatures of 188 K < T < 230 K.[9] In this study,
a maximum nucleation rate was observed at a temperature of 216 K ±
4 K, in agreement with nanodroplet experiments.[30] Importantly, it cannot be excluded that the observed crystallization
might be surface-induced or even heterogeneous, as evidenced by recent
studies of crystallization in nanodroplets between T = 233 K and T = 235 K.[32]Whilst there has been a large focus on crystallization rates,
it
is also of interest to understand the nucleating crystal structure
in “no man’s land”. The most stable crystalline
phase of water at ambient pressure is that of hexagonal ice, Ih, (Figure A). However, a different polytype has also been reported,
that is, stacking disordered ice, Isd,
(Figure B), which
consists of randomly intercalated layers of cubic and hexagonal sequences.
This crystalline form was originally referred to as cubic ice, Ic,[33,34] (Figure C). Nevertheless, it is evident from the
X-ray scattering patterns, such as that shown in Figure B, that whilst it does display
peaks related to a cubic phase (Figure C), it retains features of Ih, especially the peak denoted as P1 (Figure A).[35] One of the
reasons why Isd was often called Ic was because pure Ic had not been experimentally produced. Recently, two groups independently
obtained pure Ic, showing the typical
diffraction pattern of a cubic structure (Figure C),[36,37] without any of the
additional features of Isd.
Figure 1
Typical diffraction
patterns of (A) hexagonal ice (Ih), (B)
an example of stacking disordered ice (Isd) with 50% cubicity, (C) cubic ice (Ic), and (D) HDL (dashed blue line)[15] and
LDL (yellow continuous line).[38] Marked
in dashed purple vertical lines are the
peak positions of Ih, and in dashed-dotted
green lines the peak positions of Ic.
In Figure A, we have numbered the different peaks present in Ih, from P1 to P6, of which, P2 and P5 are the
peak positions shared between Ih and Ic. Crystalline ice (A to C) scattering patterns
were calculated using the FAULTS diffraction simulation software,[39] following the same procedure as with DIFFaX.[35]
Typical diffraction
patterns of (A) hexagonal ice (Ih), (B)
an example of stacking disordered ice (Isd) with 50% cubicity, (C) cubic ice (Ic), and (D) HDL (dashed blue line)[15] and
LDL (yellow continuous line).[38] Marked
in dashed purple vertical lines are the
peak positions of Ih, and in dashed-dotted
green lines the peak positions of Ic.
In Figure A, we have numbered the different peaks present in Ih, from P1 to P6, of which, P2 and P5 are the
peak positions shared between Ih and Ic. Crystalline ice (A to C) scattering patterns
were calculated using the FAULTS diffraction simulation software,[39] following the same procedure as with DIFFaX.[35]Experimentally, Isd has been observed
as the crystallizing form either at temperatures above 225 K or below
200 K.[2,35,40−42] Whilst for temperatures between these two extremes it is only through
molecular simulations[43−47] that Isd has been identified as the
initial crystalline structure. Both through experiments and simulations,[35,40,42] it has also been noted that the
cubicity of Isd decreases over time both
at constant[42] and increasing temperature,[35] leading to annealing into Ih, which is the thermodynamically stable phase.[42]Recently, two different studies[15,48] have reported
on the crystallization of ice directly from a low-density noncrystalline
phase (LDN). By measuring in situ X-ray diffraction during rapid decompression
of high-pressure ice,[48] a transition to
an LDN between 140 and 165 K was observed. Eventually, the sample
crystallized into Isd. On the other hand,
X-ray scattering studies, combined with a laser-induced T-jump,[15] indicated a discontinuous transition between
high and low-density liquid water (HDL and LDL, respectively) at 205
K ± 10 K, prior to the onset of crystallization, that is, within
a time frame between 8 ns and 1 μs. This transition was observed
in the q-region between 1.1 and 2.5 Å–1, where
the first-order peaks of both liquids are clearly observable: HDL
(ca. 2.1 Å–1) and LDL (1.7 Å–1) (Figure B).By looking at the nano- to microsecond scale, it was possible to
open a window to observe the early stages of ice formation.[15] Therefore, we have taken a deeper inspection
into the later delays (10 μs onwards), from the same experiment,
to explore the initial crystallizing forms in “no man’s
land”. Within the observed timescale (10 μs–1
ms), water crystallizes in a stacking disordered manner with a high
cubicity, in line with the results of Amaya et al.[40] This cubicity decreases over time, similar to previous
experiments.[21,23−25] Whilst Isd is the main crystal structure, we observe
that a small proportion of Ih was also
present, suggesting that a fraction of the crystallites started transforming
into this form.[49,52]
Methods and Materials
The experiments were conducted at the XSS-FXS beamline of PAL-XFEL,
with 25 fs X-ray pulses with a mean energy of 9.7 keV and are described
in detail by Kim et al.[15] Here, we highlight
some of the most important details.
Sample Preparation
In brief, amorphous ice samples
were prepared inside a 0.1 mm-thick Cu-grid using a material testing
machine (Zwick, Z100 TN).[12,15,38,53] The grid was filled with ultrapure
deionized water and precooled over liquid nitrogen to form crystalline
ice. After cold-loading the grids into a piston cylinder setup and
covering the grids with a thin In-foil, unannealed high-density amorphous
ice was formed by pressurizing to 1.6 GPa at 100 K. The samples were
then heated and annealed at 160 K and 1.1 GPa, resulting in very-high-density
amorphous ice. For transformation into equilibrated high-density amorphous
ice (eHDA) or low-density amorphous ice (LDA), the samples were decompressed
at 139.5 K to 0.08 and 0.01 GPa, respectively, and subsequently quenched
to 80 K. The resulting eHDA and LDA samples were decompressed to ambient
pressure, stored, and transported under liquid nitrogen temperatures
to PAL-XFEL, South Korea.
Laser and X-ray Parameters
We utilized
an infrared-pump
X-ray probe scheme to obtain time-dependent single-shot X-ray scattering
patterns. Samples were loaded on a sample environment consisting of
a liquid N2-flow cryostat capable of operating in vacuum
between 80 K and room temperature.The samples were then pumped
by a 100 fs infrared (IR) pulse with a 2 μm wavelength, which
excited a combination of O–H stretch and H–O–H
bending modes that increased the temperature of the sample in ca.
20 ps,[54,55] resulting in an ultrafast temperature-jump
(T-jump) of about 90 K, in the case of HDA, and of 60 K for LDA,[15] resulting in a final temperature of around 205
± 10 K. Scattering images were taken at different delays to capture
the whole T-jump. The images were taken in the wide-angle regime covering
a q-range of 0.1–3.2 Å–1, allowing for the observation of the first diffraction peaks of
the high- and low-density structures. Laser-off images were acquired
and used as a reference, and for obtaining the time-resolved difference
X-ray scattering patterns.
Data Analysis
The proportions of
the different components
(HDL, LDL, and crystalline ice) were estimated by fitting the time-dependent
difference scattering curves, obtained by taking the difference between
the I(q) curves measured before
and after laser excitation (see the Supporting Information Figure S1).We particularly focused on
the relative amount of cubic vs hexagonal stacking. Different parameters
were considered for this objective: the fraction of Ih (obtained from the fittings), the degree of cubicity,
the ratio between P2 and P1, and the intensity of P4 at ca. 2.34 Å–1.The degree of cubicity (χ) is defined
as follows:[35,41,42,56]where φhc is the probability of a cubic layer to form over a hexagonal
layer,
and φch is the probability of a hexagonal layer to
form over a cubic layer. To obtain the P2:P1 ratio and the intensity
of P4, the liquid (HDL and LDL) fractions were subtracted from the
postpump shots (Figure S3). The P2:P1 ratio
quantifies the degree of cubicity as P1 is unique to Ih, whereas P2 is shared between Ih and Ic. In pure Ih, the P2:P1 ratio is approximately 0.50,[50] and higher values indicate a larger amount of cubic stacking.[51,52] In the case of P4, this peak is only present in pure Ih; therefore, it can be used as a marker for hexagonal
stacking.[50]Finally, from the obtained
crystalline fraction, the nucleation
and growth rates were roughly estimated for both samples, as detailed
in the Supporting Information of Kim et
al.[15] using the following equation:where J is
the nucleation rate, G is the growth rate, and t is time. It should be noted that the values of J and G vary with temperature.We
fitted the crystallization curves only up to 100 μs, as
after this delay, cooling dominates.[15] In
the case of the eHDA sample, this leads to an apparent decrease in
the crystalline fraction because of the increase in the LDL fraction.
The fits were performed by leaving the growth rate as a free parameter,
but fixing J to the value estimated by Kimmel et
al.[9] for 200 and 205 K, for the LDA and
eHDA samples, respectively, as these are the estimated reached temperatures.[15]
Results and Discussion
We performed
measurements after different delay times between 8
ns and 1 ms. However, crystallization is only evident from 3 μs
onward, and it is only from 10 μs that a good enough fit was
possible. Therefore, we focus on these later delays where ice Bragg
peaks are observable in both eHDA and LDA samples (Figure ).
Figure 2
Time-resolved wide-angle
X-ray scattering patterns showing the
progression of crystallization from 10 μs to 1 ms. (A) eHDA
at a base temperature of 115 K and (B) LDA at a base temperature of
140 K. Prepump scattering is shown as a gray dashed line and the postpump
as a black continuous line. Contributions of the HDL are indicated
in blue, LDL in yellow, Isd in green,
and Ih in purple.
Time-resolved wide-angle
X-ray scattering patterns showing the
progression of crystallization from 10 μs to 1 ms. (A) eHDA
at a base temperature of 115 K and (B) LDA at a base temperature of
140 K. Prepump scattering is shown as a gray dashed line and the postpump
as a black continuous line. Contributions of the HDL are indicated
in blue, LDL in yellow, Isd in green,
and Ih in purple.From the scattering patterns, it is already evident that in the
eHDA sample (Figure A), the HDL fraction decreases over time, as the broad peak centered
at ca. 2.1 Å–1 almost disappears by the 1 ms
delay time. Crystallization, as expected, has the opposite behavior
with increasing intensity of the crystalline Bragg peaks. In the LDA
sample (Figure B),
however, the decrease in the LDL fraction is not as dramatic as that
of the HDL in the eHDA sample. However, crystallization increases
as particularly evidenced by the intensity of P4 and P6 (ca. 2.3 and
3 Å–1).We further fitted the difference
scattering patterns with a linear
combination of HDL, LDL, and crystalline ice (Figure S1). Importantly, for the crystalline ice fraction,
we initially considered stacking disordered ice (Isd) only, but it frequently underestimated the sharpness
and height of P3 and P4, as shown in Figure S2A. Therefore, we decided to use a combination of simulated pure hexagonal
ice (Ih) and Isd, resulting in a better fit (Figure S2B). The improvement of the fit by the introduction of the diffraction
pattern of Ih suggests that part of the Isd has started to anneal into Ih and that we thus have a combination of two different
crystalline ice.In the eHDA sample (Figure A), we observe that the HDL fraction decreases
continuously
as it converts to LDL. However, we do not see a parallel increase
in the LDL fraction. In fact, we see that the LDL fraction initially
remains stable at a population fraction of ca. 0.20 and only increases
from 100 μs onward. Nevertheless, the crystal fraction initially
increases and then stabilizes at 100 μs. Consequently, we can
infer that the apparent discrepancy between the LDL and HDL behavior
is related to the progressing crystallization. Between 10 and 100
μs, the LDL constantly crystallizes; thus, the observable amount
of LDL instantly decreases, even though we know that the HDL continuously
transforms into LDL. From Kim et al.[15] we
know that considering the thermal diffusivity of our samples, we can
estimate that prior to 100 μs, the temperature of the sample
is stable. However, after 100 μs, the sample starts cooling
again[15] because of the rest of the sample
being at 115 K, resulting in a higher viscosity that hampers crystallization,
thus allowing us to see the growth in the LDL fraction once more.
Figure 3
Time-dependent
population changes from 10 μs to 1 ms. (A)
Fractions of HDL, LDL, and crystalline ice taken from the fits of
the (A) eHDA samples and of the (B) LDA samples. Downward triangles
represent the HDL fractions, the right triangles the LDL fractions,
and the upward triangles the crystalline (Ih + Isd) fraction. Bars indicate the error
of the fit. Dotted lines are added just as a guide to the eye.
Time-dependent
population changes from 10 μs to 1 ms. (A)
Fractions of HDL, LDL, and crystalline ice taken from the fits of
the (A) eHDA samples and of the (B) LDA samples. Downward triangles
represent the HDL fractions, the right triangles the LDL fractions,
and the upward triangles the crystalline (Ih + Isd) fraction. Bars indicate the error
of the fit. Dotted lines are added just as a guide to the eye.In the LDA sample (Figure B), the crystalline fraction initially increases
between 30
and 100 μs but remains stable after this delay, which is also
attributable to the estimated cooling. Whilst the overall trend is
similar to that of the eHDA sample, we note that the final crystal
fraction is considerably smaller and that consequently the liquid
fraction is higher. The reduced crystalline fraction is most likely
caused by our LDA samples being thicker (>55 μm) than those
of eHDA (35–55 μm). This larger thickness causes the
front part of the sample to absorb more heating light than the back,
thus creating a larger temperature difference between the two sides
of the sample, which can lead to a faster cooling from 100 μs
onward. Moreover, we cannot exclude that the transition from HDL to
LDL has an exothermic character, causing a further temperature increase,
thus accelerating crystallization in the eHDA sample. Finally, we
also observe a minor fraction of HDL ((Figure B) but with error bars going down to negative
values at most delay times. Thus, we do not consider it to be of particular
significance.We also note that, even at 1 ms, both samples
retain fractions
of both LDL and HDL, in agreement with previous studies where a coexistence
between crystalline ice and supercooled water has been reported even
after several seconds.[6,57−60] These results differ from those
of Kim et al.[15] in that study, and it was
assumed that the sample was completely crystalline after 1 ms. However,
the focus of that study was on the earlier delays (before 10 μs),
where the HDL to LDL transition occurs, and the proportion of crystalline
ice is either nonexistent or insignificant. Thus, the assumption of
a fully crystalline sample at 1 ms is consistent with the conclusions
there reached.As mentioned before, the main crystal form obtained
was that of Isd, and from the fitted scattering
patterns,
we were able to estimate the relative amount of cubic and hexagonal
stacking present in the sample. We used different approaches for this
purpose. We evaluated the ratio between P2 and P1, the degree of cubicity,
the intensity of P4, and the fraction of Ih (Figure ).
Figure 4
Ratio of P2:P1,
cubicity (χ), intensity of P4, and % of Ih as a function of the delay time of (A to D)
eHDA samples and (E to H) LDA samples. A dashed line has been added
to the plots of the P2:P1 ratios (A and E) to indicate the ratio observed
in a pure Ih scattering pattern. Values
higher than this ratio (ca. 0.5) indicate a higher proportion of cubicity.
Purple circles in the plots A, C, E, and G are the values for individual
samples, and the black diamonds are the average of all the measurements.
Bars in plots D and H indicate the error of the fit.
Ratio of P2:P1,
cubicity (χ), intensity of P4, and % of Ih as a function of the delay time of (A to D)
eHDA samples and (E to H) LDA samples. A dashed line has been added
to the plots of the P2:P1 ratios (A and E) to indicate the ratio observed
in a pure Ih scattering pattern. Values
higher than this ratio (ca. 0.5) indicate a higher proportion of cubicity.
Purple circles in the plots A, C, E, and G are the values for individual
samples, and the black diamonds are the average of all the measurements.
Bars in plots D and H indicate the error of the fit.In the eHDA sample, the P2:P1 ratio (Figure A) initially decreases and stabilizes after
100 μs. As expected, the intensity of P4 consequently increases
and stabilizes after the same time delay (Figure B), suggesting that the relative amount of
hexagonal stacking increases at the expense of the cubic stacking.
Similar trends are observed in the cubicity and fraction of Ih (Figure C, D).In the LDA sample, the P2:P1 ratio remains
at a similar level to
that of eHDA at 10 μs (Figure E), whilst the intensity of P4 increases slightly between
10 and 100 μs, after which it remains stable (Figure F), suggesting an initial minor
increase in hexagonal packing. Notably, the degree of cubicity increases
slightly at higher delay times, alongside the fraction of Ih (Figure F, H), which is surprising as we would expect them
to be inversely related, not to mention that this trend was not observed
in the P2:P1 ratio, nor in the P4 intensity. The behavior of the cubicity
and Ih might then be an effect of the
fitting itself. In the LDA scattering patterns, P5 has a strong intensity
(Figure S3), sometimes almost equal to
P2, suggesting a preferred orientation of the crystal, which is not
considered in our Isd simulations. Therefore,
our fitting could be overestimating the amount of Ih in an attempt to reach the higher intensity of P5 in
the experimental data. As a consequence, other Ih peaks would have higher intensities than those experimentally
obtained, and a higher cubicity Isd would
then be necessary to compensate. Nevertheless, given that the P2:P1
ratio and P4 intensities are in agreement, we consider that our fits
are still a good indicator of the overall trend of increase in hexagonal
stacking up to 100 μs.Lastly, the cubicities here estimated
are in agreement with previous
molecular simulations at similar temperatures,[43,45,61] reporting values between 0.60 and 0.70.
Experimentally, cubicities have mostly been reported to reach a maximum
of 0.5,[42,62] except for the work by Malkin et al.,[35] who reported a cubicity of 0.78 when recrystallizing
ice II into ice I. Amaya et al.[40] also
estimated a cubicity close to 0.80 at 225 K, which they attribute
to both the low temperature and the faster crystallization observed
in nanodroplets.[30]Finally, we performed
fits based on the nucleation data from Kimmel
et al.[9] and the growth rate data from Xu
et al.[63] to evaluate them in the current
system. By fixing the nucleation rate (J) to the
values from Kimmel et al.[9] at the estimated
temperatures, for each sample (205 and 200 K for eHDA and LDA, respectively),
we obtained, for eHDA, a growth rate close to that estimated by Xu
et al. at 225 K[63] (see Table S1), that is, 20 K above the estimated T-jump. In comparison,
the fit for the LDA sample resulted in a growth rate close to that
at 235 K, that is, 35 K above the estimated T-jump. The temperature
difference between nucleation rate J and growth rate G can be assumed to originate from the heat release during
the nucleation process, leading to crystal growth occurring at a different
temperature. This is further reinforced by the estimated temperature
increase because of crystallization between 17.5 and 39.5 K (see the Supporting Information), assuming that there
is no heat release to the environment because of the timescales studied
here.[64,65] The estimated temperature increase is in
the same order of magnitude as the increase in temperature assumed
by using the growth rates at 20 and 36 K higher than the nucleation
rates.After the first crystallization point at 3 μs,
the experimental
data follow a slower crystallization rate than the fits (Figure ). In the case of
the eHDA sample, this can be explained by crystallization not happening
in the bulk, but only in the new LDL domains. As the crystalline material
grows within these domains, crystallites can eventually impinge on
each other, slowing the growth rate. In the case of the LDA sample,
we could expect bulklike crystallization as the whole sample is considered
to have converted into LDL. Nevertheless, we have estimated that LDA
samples have a larger thickness (>55 μm) than the eHDA (35–55 μm),
leading to further cooling from the back side of the sample, which
has not been heated to the same degree. This cooling then reduces
the growth rate as the viscosity of the liquid increases, hindering
crystallization. Further evidence of the hindering of crystallization
can be found in the final crystalline fraction. The LDA samples only
reach a fraction of ca. 0.25, in comparison to the eHDA samples that
reached almost 0.6.
Figure 5
Crystallization curves of (A) the eHDA sample and (B)
the LDA sample.
Black triangles are the experimental data. Dotted blue line is the
corresponding fit where the nucleation rate, J, was
fixed to the values from Kimmel et al.[9] at 205 and 200 K for the eHDA and LDA samples, respectively. Dashed
orange line shows the theoretical crystallization curve using the
same J(9) as before, and
the growth rate, G, from Xu et al.[63] closest to the estimated G from the blue
fit (i.e., the G at 225 and 235 K for the eHDA and
LDA samples, respectively). Dashed-dotted green line is the theoretical
crystallization curve using J(9) and G(63) at the estimated
temperature for each sample.
Crystallization curves of (A) the eHDA sample and (B)
the LDA sample.
Black triangles are the experimental data. Dotted blue line is the
corresponding fit where the nucleation rate, J, was
fixed to the values from Kimmel et al.[9] at 205 and 200 K for the eHDA and LDA samples, respectively. Dashed
orange line shows the theoretical crystallization curve using the
same J(9) as before, and
the growth rate, G, from Xu et al.[63] closest to the estimated G from the blue
fit (i.e., the G at 225 and 235 K for the eHDA and
LDA samples, respectively). Dashed-dotted green line is the theoretical
crystallization curve using J(9) and G(63) at the estimated
temperature for each sample.
Conclusions
Within the timescales evaluated in this study, we observe that
the crystallization of LDL coming from heating either HDA or LDA occurs
in the microsecond scale in a stacking disorder form (Isd) with a large cubicity (0.5–0.65), which decreases
over time. Nevertheless, even in these short timescales, some of the
ice anneals into Ih, the thermodynamically
preferred crystalline state,[42] leading
to a mix of Isd and Ih. The crystallization of the LDA sample stagnated from
30 μs onward, thus reaching a lower final crystalline fraction
than the eHDA sample. We ascribe this to the larger thickness of the
LDA samples. Finally, while the first crystallization points are correctly
fitted by using literature nucleation values at the estimated sample
temperatures, the estimated growth rate is equivalent to values at
higher temperatures, which could be attributed to the heat release
during nucleation.
Authors: Sow-Hsin Chen; Francesco Mallamace; Chung-Yuan Mou; Matteo Broccio; Carmelo Corsaro; Antonio Faraone; Li Liu Journal: Proc Natl Acad Sci U S A Date: 2006-08-18 Impact factor: 11.205
Authors: Yuntao Xu; Nikolay G Petrik; R Scott Smith; Bruce D Kay; Greg A Kimmel Journal: Proc Natl Acad Sci U S A Date: 2016-12-12 Impact factor: 11.205
Authors: Leonardo Del Rosso; Milva Celli; Francesco Grazzi; Michele Catti; Thomas C Hansen; A Dominic Fortes; Lorenzo Ulivi Journal: Nat Mater Date: 2020-02-03 Impact factor: 43.841
Authors: Daniel Mariedahl; Fivos Perakis; Alexander Späh; Harshad Pathak; Kyung Hwan Kim; Gaia Camisasca; Daniel Schlesinger; Chris Benmore; Lars Gunnar Moody Pettersson; Anders Nilsson; Katrin Amann-Winkel Journal: J Phys Chem B Date: 2018-07-23 Impact factor: 2.991
Authors: Aigerim Karina; Tobias Eklund; Christina M Tonauer; Hailong Li; Thomas Loerting; Katrin Amann-Winkel Journal: J Phys Chem Lett Date: 2022-08-18 Impact factor: 6.888