Perla B. Balbuena’s Research
My research aims to
understand and predict thermodynamic, transport, and kinetic properties of
materials, using state-of-the-art first principles computational chemistry and
physics methods. We focus on bulk and nanomaterials used as catalysts and electrolytes in power
sources devices, such as lithium-ion batteries and fuel cells. We also
investigate the growth of metal nanoparticles inside macromolecules, the
catalyzed growth of single-wall carbon nanotubes, and the design of new
materials for H2 and CH4 storage. Our most recent work includes the investigation
of reaction mechanisms of chain polymerization reactions in benign solvents,
and the analysis of biomaterials with specific functions such as ion carriers
and oxygen reduction catalysts.
1. Catalysis on
metal nanoparticles
Metal nanoparticles
supported on a carbon structure and embedded in a hydrated Nafion membrane provide
the catalytic sites for the oxygen reduction reaction in low-temperature fuel
cells. The importance of understanding
this reaction stems from its slow kinetics, and from the high cost of the Pt
catalysts currently used. Our research
focuses on several aspects: 1) understanding of the oxygen reduction reaction
mechanism on Pt clusters and surfaces using density functional theory, and ab
initio molecular dynamics; 2) determining adsorption of intermediate species
such as O, OH, H2O and H2O2 on clusters and
surfaces made of Pt and Pt-alloys; 3) DFT analyses of the free energies of the
elementary steps and elaboration of a set of thermodynamics guidelines for the
design of alternative bimetallic catalysts; 4) proton transport at the
catalyst-membrane interface.

Snapshots
from ab initio MD simulations of the
first reduction step on Pt(111) for initial distances dOH = 2.5 Å and dOS
= 3 Å, at a high degree of proton solvation: (H3O)+(H2O)3
(H2O)6. First row: Initial configuration (left), at
0.7 ps (center), and at 0.8 ps
(right). Second row: At 1.1, 1.2, 1.6,
and 2 ps. Chemisorption
takes place followed by O2 decomposition, whereas OOH formation was
not observed during 5 ps. (P. B. Balbuena, Y. Wang,
E. J. Lamas, S. R. Calvo, L. A. Agapito,
J. M. Seminario, “Reactivity of bimetallic
nanoclusters toward the oxygen reduction in acid medium.” In “Device
and Materials Modelling for the PEM Fuel Cell”,
2. Catalyzed
growth of single-wall carbon nanotubes
We have developed
reactive force fields to investigate aspects of the chemical vapor deposition
process where a model precursor
gas (CO) is catalyzed on
the surface of metal nanoparticles yielding carbon atoms that combine forming
various structures and eventually grow into a SWCNT. Classical molecular
dynamics techniques were coordinated with experiments on model catalysts; our
main findings have been reported in four journal articles.
The
modeling work consisted on the development and implementation of classical
molecular dynamics (MD) simulations to follow the time evolution of the
nanotube growth process over a catalyst particle using reactive force fields for the
description of C-C, C-metal, and metal-metal interactions. The force field parameters for the metal-C
interactions were obtained from density functional theory calculations in small
clusters. Simulations were carried out
assuming that the reaction takes place instantaneously and irreversibly on the
catalyst surface. Two cases were
analyzed: a catalyst particle floating on a gas phase of the precursor, and a
catalyst particle deposited on a substrate.
In the first case the main growth steps were identified as: 1)
dissolution of C inside the catalytic particle until saturation, 2)
precipitation of C atoms on the surface initially forming short chains, 3) the
short chains connect with each other forming quasi-sp3 structures
(fullerene-type), 4) a cap separates from the surface and initiates the
nanotube growth. The simulations on a
supported catalyst basically follow those stages, as shown in Figure 1. However, the initial stages of growth are
very sensitive to the strength of the metal-substrate interactions. Specifically, strong substrate/cluster
interactions favor a more rigid cluster structure
which modifies the
initial stage of C dissolution. Even
though C still dissolves into the cluster, the amount is lower than that
obtained when the metal cluster is completely unrestrained. This work suggested that the rate determining
step of the nanotubes growth process is the nucleation step, leading to the
formation of a stable cap over the surface of the catalyst. For a catalyst floating in the vapor of a
precursor gas, the cap structure and its attachment to the cluster are critical
to the chirality of the nanotubes formed.
However, in processes where the cluster is supported on a substrate, the
chemical nature of the substrate and the attachment of the metal cluster to the
substrate are also crucial, because the interfacial contact metal
cluster/substrate is one of the factors that influences the cluster morphology
and atomic mobility, which in turn determines the type of carbon structure
formed on the surface.
Our
most recent work has been oriented to determine the reactivity properties of
carbon nanotubes of a given chirality, as a function of the growth process,
i.e., of the number of atoms in the nanotube. Specifically we have analyzed two
arm-chair and one chiral cap-ended single-wall carbon
nanotubes of various finite lengths to determine their reactivity towards the
simplest growth reaction, the adsorption/reaction of a C2 radical
with the open end of the growing SWCNT.
3. Physical
properties of metal nanoparticles
Metal nanoclusters exhibit unusual chemical and
physical properties different from those of the bulk material or of the atoms,
and have a number of fascinating potential applications in heterogeneous
catalysis, micro- and nanoelectronics and opto-electronics
devices. Therefore, the understanding of their thermal, structural and
dynamical properties is a topic of intense interest from the scientific and
technological viewpoint. One of the important factors of the nanosize regime is
the presence of a large percentage of surface atoms. In addition, when nanoclusters are deposited
on surfaces, their physical and chemical properties are strongly dependent not
only on their particle size and chemical composition, but also on the structure
of the surface and that of the metal/substrate interface.


An improved
understanding of heterogeneous catalysis is emerging thanks both to significant
advances in surface science techniques as well as to the insights provided by
the application of first-principles theoretical methods. It is crucial to be able to elucidate and
predict the structure and composition of materials used as catalysts, and it is
now well recognized that chemical, thermal, and mechanical treatments may
significantly affect the structure of the exposed faces, and therefore their
catalytic activity. A detailed
understanding of the melting process of metal nanoclusters is one important factor
to understand their special behavior. It is known that the solid-liquid
transition in nanoclusters differs from that in bulk materials, and many
studies have addressed the melting point change variation with the nanocluster
size. At low temperatures, the cluster
structure is solid-like, and as the temperature increases the structure
acquires liquid features, passing through an intermediate state, called dynamic
coexistence, where the structure fluctuates between liquid and solid behavior.
Recent experiments and molecular simulations have concluded that the nanoclusters melting temperature depends on their size,
shape, composition, and in most cases is lower than that of bulk melting. As
the cluster size is decreased, the melting temperature generally decreases. The
phenomenon can be understood considering that a large percentage of atoms
residing on the surface of cluster are weakly bonded and less constrained in
their thermal motion. However, quantum
effects in clusters below a certain size can be important yielding a
non-monotonic behavior for the variation of the melting temperature vs. cluster
size at small sizes.
Molecular dynamics techniques provide useful
insights that contribute to the understanding of complex microscopic phenomena
such as mixing and growth in bimetallic systems, and the statistical
thermodynamics of small systems on which such simulations are based has been
discussed extensively. We employ MD
simulations to study the structure and dynamics of several mono and bimetallic
systems, including Cu-Ni and Pt-Au nanoclusters with various compositions and
cluster sizes, both in vacuum and deposited on a graphite surface. The
many-body Sutton-Chen potential is used for the metal-metal interactions, and Lennard-Jones potentials describe the interaction between
nanocluster and substrate. Deformation
parameters are defined to investigate shape changes in the nanoclusters, and
changes in the structural and dynamical properties are discussed as a function
of temperature. The diffusivity of the nanocluster as a whole in the solid and
liquid phases is analyzed.
4. Ion
complexation inside macromolecules
Dendrimers
are envisioned as promising materials in many areas of science and technology
with applications spanning design of drug delivery systems, light harvesting,
electronic devices, and catalysis.1-5 Poly(amido-amine)
(PAMAM) dendrimers have proven successful template agents for several ions,
metal atoms, and clusters, including Pt, Pd, Au, Ag, Cu.6-11 As
ion complexation precedes the formation of embedded metallic nanoclusters, a
clear understanding of ion complexation and that of the influence of the
factors that affect the complexation process – such as pH, counterion,
ligand exchange, and charge transfer- are
needed. Due to their own peculiarities
each ionic complexation requires individual study; this fact hampers the
understanding of currently known systems and the search for new precursor-dendrimer
systems for metal nanoparticle synthesis.
We
use classical MD and quantum DFT to analyze ion complexation inside dendrimers.

a)
Full-solvent MD final configuration A2 : Cu(II) is
coordinated with two amide O, one tertiary N in EDA-core and one water O in
equatorial position. Branch folding places one amide O in axial position (the
other is occupied by one water O). For clarity, water molecules other than
those in the first coordination sphere of the ion are not shown. b)
38-atom-fragment-Cu(II)-(H2O)3
closed DFT (optimized structure) : Cu(II) coordinates in a similar fashion to
(a) except that the branch folding effect is obviously not reproduced; another
water O substitutes the amide O of the dendrimer branch. Here the equatorial
water and one of the axial waters form hydrogen bonds R’-CH2-(OH)---HOH---(OH)-CH2-R’ to both hydroxyl O atoms with lengths
2.12 Å and 1.99 Å respectively. These H-bonds may explain its enhanced
stability compared to the “open” configuration. c) Full-solvent
MD final configuration A3 : Cu(II) is coordinated to one amide O, one
hydroxyl O and four water O. d)
38-atom-fragment-Cu(II)-(H2O)4 (optimized structure) :
Coordination to one amide O, one hydroxyl O and two water O in equatorial plane
and one water in axial position. One of
the equatorial waters forms H-bond –dashed lines - as R’- C=O---HOH---(OH)-CH2-R at 1.81 Å (with carbonyl O) and 1.81 Å (with
hydroxyl O). The fifth water is in quasi-axial position (bond distance larger
than typical Cu-O axial bond distance) and forms H-bonds with one amide O at
1.78 Å and with the equatorial water at 1.60 Å.

DFT optimized
configurations. a) 38-atom-fragment -Cu(II):
Cooperative effect of two amide O to the branching N is evident. b) 38-atom-fragment -Cu(II)-(H2O)6:
Coordination to one amide O and five water O (3 equatorial and 2 axial). Water
interacts with dendrimer atoms forming H-bonds: b1. R-CH2-(OH)---H,
length: 1.83 Å. b2. The sixth water molecule sits in the second coordination
shell and forms two hydrogen bonds –dashed lines- R’-C=O---HOH---(OH)-CH2-R in
the adjacent branch at 1.81 Å (amide O) and 1.94 Å (hydroxyl O). c) 38-atom-fragment -Cu(II)-3H2O
open configuration: Coordination to one branching N, two amide O and one water
O in equatorial plane and two water O in
axial positions.

Snapshots obtained after
600ps full-solvent MD trajectories. For
clarity, water molecules beyond the ionic first coordination shell are not
shown. a) Coordination of one Cu(II) to an amide O , an hydroxyl O and four water O and
another Cu(II) to one amide O and five water O in the opposite part of the
dendrimer that remains open. Two
branches and their environment can at least hold one Cu(II).
b) Coordination of both Cu(II) to two amide O, one
hydroxyl O and three water O atoms. Again the flat configuration enables the
attachment of two branches to each ion. The green atoms are Cl-
counterions.
This
work highlights the importance of water in Cu(II) stabilization during ionic
complexation to dendrimers and suggests that amide oxygen atoms and possibly in
a lesser extent hydroxyl O atoms are likely to be the preferred coordination
sites in EDA-core PAMAM -OH terminated dendrimers.
In
low generation dendrimers, coordination to amide oxygen and water oxygen seems
to be dominant whereas coordination to the tertiary amine nitrogen in EDA-core
is expected to be less frequently found.
Time evolution of the distance between the ion and the tertiary amine N
atoms indicates that their residence times are very short, suggesting a weaker
coordination of Cu(II) to that site than that to the amide O and water O atoms.
The results from DFT calculations in dendrimer
fragments, where branch folding effect is low, can provide insights on how the Cu(II) ion coordinates in the outer pockets of large
generation dendrimers. These calculations show cooperativity
between the branching tertiary amine nitrogen, amide oxygen atoms and water.
However as branch mobility and folding are expected to be higher in large generation
dendrimers, the latter statement needs to be taken with caution.
MD
simulations incorporating the full solvent effect reveal that both “closed”
configurations where the dendrimer branches contribute to a “cage” effect, and
“open” structures may be found. In gas
phase, such closed configurations are found energetically favorable (by ~ 6
kcal/mol) to the open ones. Moreover,
closed configurations are also found in structures showing two-ion attachments to G0-OH, where a strong participation of the
dendrimer branches in complexation is observed.
Analyses
of the various complexation structures of Cu(II) in various degrees of
hydration indicates that combined effects of shorter and stronger bonds,
H-bonding enhanced stability, and chelate formation
can explain why Cu(II) hexahydrates tend to lose some
of their coordination waters to bind to the dendrimer sites.
Solvent
screening effects can be accounted for obtaining a Cu(II)/dendrimer
load ratio of at least 2:1 which is expected to be maximum as the ionic
separation is approximately equal to the dendrimer size with branches flatly
extended. We did not observe ion pairing
between Cu++ and Cl- but the
results cannot be extended to larger generation dendrimers where the available
area for counterion contact is larger.
Finally,
this study expects to set a motivation for fundamental experimental research
related to low generation dendrimers as potential generators of useful insights
that can help explaining experimentally observed phenomena in dendrimers of
larger generations; such valuable insights can be enhanced upon integration of
theory and experiment.
5. Polymerization
reactions in benign solvents
Organic peroxides are
widely used as initiators in free radical polymerizations and studies on the
decomposition of organic peroxides are of importance in a variety of processes. Decompositions of diacyl
peroxide and peroxydicarbonate polymerization
initiators into alkyl or alkoxy radicals carried out
in traditional organic solvents have been extensively studied by
experimentalists. However, current
technologies intend to substitute traditional organic solvents with
supercritical CO2, and it is of interest to determine how this
solvent affects the decomposition reactions. The structure of peroxydicarbonates (Scheme 1) is similar to those of diacyl peroxides with general structure of RC(O)OO(O)CR, where the R groups are alkyl for diacyl peroxides and alkoxy for peroxydicarbonates.

Scheme 1. Molecular structure of
DEPDC (diethyl peroxydicarbonate), TFAP and AP (diacyl peroxides) initiators. R = C2H5O
for DEPDC; R = CF3 for TFAP; and R = CH3 for AP.
Peroxydicarbonates are traditionally
included in the diacyl peroxide category. As shown in
Scheme 2, three decomposition mechanisms were proposed by previous studies
of diacyl peroxides and peroxydicarbonates:
(1) a single O-O bond cleavage produces a carboxyl radical pair and a
subsequent decomposition of the carboxyl radicals; (2) a stepwise pathway
including two steps: an initial two-bond cleavage to a carboxyl radical, an
alkyl (or alkoxy) radical and CO2,
followed by decomposition of the carboxyl radical; (3) a concerted
three-bond cleavage to an alkyl (or alkoxy) radical
pair and two CO2 molecules.
Pathway 1

Pathway 2

Pathway 3

Scheme 2. Previously proposed
thermal decomposition mechanisms for peroxydicarbonates and diacyl peroxide
initiators.
We used Møller-Plesset perturbation theory and density functional
theory calculations to study decomposition mechanisms of polymerization
initiators, such as diethyl peroxydicarbonate, trifluoroacetyl peroxide, and acetyl peroxide, which
possess a general structure of RC(O)OO(O)CR. We found that the decomposition of initiators
with electron donating R groups follows two favorable stepwise pathways: a
two-bond cleavage mechanism in which the O-O single bond and one of R-C bonds
of [R-C(O)O-O(O)C-R] break
simultaneously followed by decomposition of the R-C(O)O• radical,
and a one-bond cleavage mechanism in which the single O-O bond cleavage
produces a carboxyl radical pair and a subsequent decomposition of the carboxyl
radicals. It is also found that the initiators with electron withdrawing R
groups follow the two-bond cleavage pathway only. Geometrical and energetic
analyses indicate that despite the similar structures of the peroxydicarbonates, quite different decomposition energy
barriers are determined by the nature of the R groups.
6. Materials for
gas storage
We are
investigating storage of H2 and CH4 in C-containing self-assembled
structures.
7. Biomimetic
materials
The goal of this
work is to identify biomaterials which could be emulated specifically for ion
carrier and oxygen reduction functions.