15 research outputs found
Improved Lithium Diffusion in Anion-Substituted Li<sub>7</sub>TaO<sub>6</sub>
One approach to enhance the conductivity of a lithium-containing
material is to widen the diffusion channel, such as the case of the
superionic material Li10GeP2S6. This
work unravels the enhanced diffusivity of Li+ in Li7TaS6 and Li7TaSe6, which
are based on the known Li7TaO6 superionic conductor.
Using density functional theory, we calculate the electronic and structural
properties of the three materials and utilize ab initio molecular dynamics simulations to model the diffusion dynamics.
Both Li7TaS6 and Li7TaSe6 are shown to exhibit an order of magnitude improvement in the diffusion
coefficient relative to the parent material and a slight drop in their
corresponding activation barriers. These materials are potential candidates
for application in lithium solid-state electrolytes, with performance
that is competitive with Li10GeP2S6
Twist-Dependent Electron Charge Transfer and Transport in Phosphorene–Graphene Heterobilayers
In
this work, we explore the impact of twisting (rotational stacking)
on the vertical charge transfer in a graphene–phosphorene bilayer
using density functional theory (DFT) and on electron transport in
the plane of the bilayer using DFT and the non-equilibrium Green’s
function approach. We examine the bilayers with twist angles 0, 9.1,
13.3, and 44.1° and find a significant drop in charge transfer
when the twist angle changes from 0 to >0°. We also identify
an anisotropy of the current with regard to the twist angle, as well
as direction, in the plane of the bilayer structures. Such interesting
features could have an impact on enhancing the applications of two-dimensional
twisted structures in nano-electronics
Blocking Directional Lithium Diffusion in Solid-State Electrolytes at the Interface: First-Principles Insights into the Impact of the Space Charge Layer
Understanding the degradation mechanisms in solid-state
lithium-ion
batteries at interfaces is fundamental for improving battery performance
and for designing recycling methodologies for batteries. A key source
of battery degradation is the presence of the space charge layer at
the solid-state electrolyte–electrode interface and the impact
that this layer has on the thermodynamics of the electrolyte structure.
Currently, Li10GeP2S12 in its pristine
form has one of the highest lithium conductivities and has been used
as a template for designing even higher conductivity derived structures.
However, being an ionic material with mostly linear diffusion, it
is prone to path-blocker defects, which we show here to be especially
prevalent in the space charge layer. We analyze the thermodynamic
properties of a number of path-blocker defects using density functional
theory and their potential crystal decomposition and find that the
presence of an electrostatic potential in the space charge layer elevates
the likelihood of existence of these defects, which otherwise would
not be likely to form in the bulk of the electrolyte away from electrodes.
We use ab initio molecular dynamics to assess the
impact of these defects on the diffusivity of the crystal and find
that they all reduce the lithium diffusivity. While our work focuses
on Li10GeP2S12, it is relevant to
any solid-state electrolyte with mainly linear diffusion
Machine Learning-Aided Exploration of Ultrahard Materials
Ultrahard
materials are an essential component in a wide range
of industrial applications. In this work, we introduce novel machine
learning (ML) features for the prediction of the elastic moduli of
materials, from which the Vickers hardness can be calculated. By applying
the trained ML models on a space of ∼110,000 materials, these
features successfully predict the elastic moduli for a range of materials.
This enables the identification of materials with high Vickers hardness,
as validated by comparing the predictions against the density functional
theory calculations of the moduli. We further explored
the predicted moduli by examining several classes of materials with
interesting mechanical properties, including binary and ternary alloys,
aluminum and magnesium alloys, metal borides, carbides and nitrides,
and metal hydrides. Based on our ML models, we identify a number of
ultrahard compounds in the B–C and B–C–N chemical
spaces and ultrahard ultralight-weight magnesium alloys Mg3Zn and Mg3Cd. We also observe the inverse of the hydrogen
embrittlement effect in a number of metal carbides, where the introduction
of hydrogen into metal carbides increases their hardness, and find
that substitutional doping of Al in transition-metal borides can yield
lighter materials without compromising the thermodynamic stability
or the hardness of the material
Strain Modulation of Optoelectronic Properties in Nanolayered Black Phosphorus: Implications for Strain-Engineered 2D Material Systems
Strain engineering is an exciting direct approach to
control the
key intrinsic properties of two-dimensional (2D) materials. However,
fabrication complexities arising from weak van der Waals interaction-induced
slippage, coupled with mechanical breakdown of metal electrodes, have
prevented fundamental investigations into strain effects on electrical
and optoelectronic characteristics of these material systems. To overcome
this limitation, we report a simple prestretch fabrication technique
that allowed us to demonstrate a functional multilayer black phosphorus
(BP)-based device on a stretchable elastomeric platform. By applying
a uniaxial compressive strain of up to 10%, we reveal that mechanical
strain can be effectively used to modulate the electronic and optical
properties of nanolayered BP. This simple strategy can be extended
well-beyond BP to other 2D materials, creating opportunities for fundamental
investigations into strain effects in 2D material systems and potential
applications in strain-engineered sensors for optical synapse applications
Exploring Coordination of Neodymium in Ionic Liquid: Insights to Guide Sustainable Recovery
Neodymium is a critical metal essential for advancing
sustainable
clean energy technologies, as it is a crucial component in the manufacturing
of NdFeB permanent magnets, part of wind turbines, electric vehicles,
and advanced electronics. Its recovery from secondary sources using
electrochemical deposition in ionic liquids has the potential to sustainably
achieve a closed-loop alternative to obtain the metal. The presence
of water in low, specific concentrations in ionic liquid has been
previously shown to catalyze electrodeposition of Nd with amplified
current densities and easier reduction of Nd3+, but the
structure(s) of the metal/mixed-ligand species that led to this amplification
was previously only hypothesized. Stringently benchmarked quantum
chemical calculations reveal a complex potential energy landscape
that underpins the structural transformations arising from the introduction
of water into the coordination sphere of Nd3+ surrounded
by bis(trifluoromethanesulfonyl)imide (TFSI) anions. Three distinct
changes were observed in the Nd3+-TFSI– complexes upon addition of water: (i) cis/trans transformation of TFSI, (ii) transition from bidentate
to monodentate TFSI– coordination, and (iii) displacement
of TFSI– ligands by water. Energetic analyses of
these structural changes can explain experimentally observed water-loading
effects regarding the ease of electrochemical reduction of Nd3+ and its deposition. These outcomes provide a platform for
tuning ionic liquid media compositions to enhance rare-earth metal
recovery
Reactive Oxygen Species Sequestration Induced Synthesis of β‑PbO and Its Polymorphic Transformation to α‑PbO at Atomically Thin Regimes
The
emergence of attractive properties in materials at atomically
thin regimes has seen an ongoing interest in two-dimensional (2D)
materials. An aspect that has lacked focused attention is the effect
of 2D material thickness on its crystal structure. As several layered
materials naturally exist in mixed metastable phases, it raises an
important question of whether a specific polymorph of these mixed-phase
materials will be favored at atomically thin limits. This work attempts
to address this issue by employing lead monoxide as a model 2D polymorphic
system. We propose a reactive oxygen species (ROS) sequestration-mediated
liquid-phase exfoliation (LPE) strategy for the facile synthesis of
ultrathin PbO. This is followed by a suite of microscopic and spectroscopic
analyses of the PbO nanosheets that reveals the polymorphic transformation
of orthorhombic (β) PbO to its tetragonal (α) analogue
with reduction in nanosheet thickness. The transformation process
reveals an interesting crystal structure of ultrathin 2D PbO where
[001]-oriented domains of α-PbO coexist alongside [100]-oriented
regions of β-PbO. Density functional theory (DFT) calculations
support our experimental data by revealing a higher thermodynamic
stability of the tetragonal phase in PbO monolayers. These findings
are likely to instigate interest in carefully evaluating the crystal
structures of ultrathin 2D materials while promoting research in understanding
the phase transformation across a range of 2D crystals
Alkali-Assisted Hydrothermal Exfoliation and Surfactant-Driven Functionalization of <i>h</i>‑BN Nanosheets for Lubrication Enhancement
Intrinsic low shear strength, excellent
mechanical properties,
and high thermal conductivity of two-dimensional h-BN nanomaterials make them promising alternatives to conventional
metal-/phosphorus-/sulfur-based additives for the development of eco-friendly
lubricant formulation. However, the poor dispersibility of h-BN nanomaterials in lubricating oils is a major challenge.
Herein, a facile approach of strong alkali-assisted hydrothermal exfoliation
and defect-sensitive etching of h-BN powder is demonstrated.
The cetyltrimethylammonium bromide (CTAB) is grafted on the active
and polar sites of h-BN nanosheets (h-BNNSs). DFT calculations, along with FTIR and XPS results, confirmed
the synthesis of h-BNNS-CTAB, which showed good dispersibility
in SN-150 mineral lube base oil. The uninterrupted supply of highly
dispersible minute dose of h-BNNS-CTAB (0.003 wt
%) to tribo interfaces of steel balls improved the lubrication properties
of lube oil by decreasing friction (34%) and wear volume (75%). The
enhanced tribo-performance is attributed to low shear strength arising
from weakly stacked atomic lamellae in h-BNNS-CTAB
and the tribo-induced deposition of h-BN lamellae
on the contact interfaces of steel balls. The present work proposes
a novel strategy for developing h-BNNS-based high-performance
lubricant formulation, which can effectively minimize frictional energy
and material losses
