Articles
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01/08/2014--
09/12/2013
Observation of Pure Spin Transport in a Diamond Spin Wire
Spin transport electronics - spintronics - focuses on utilizing electron spin
as a state variable for quantum and classical information processing and
storage. Some insulating materials, such as diamond, offer defect centers whose
associated spins are well-isolated from their environment giving them long
coherence times; however, spin interactions are important for transport,
entanglement, and read-out. Here, we report direct measurement of pure spin
transport - free of any charge motion - within a nanoscale quasi 1D 'spin
wire', and find a spin diffusion length ~ 700 nm. We exploit the statistical
fluctuations of a small number of spins ($\sqrt{N}$ < 100 net spins) which are
in thermal equilibrium and have no imposed polarization gradient. The spin
transport proceeds by means of magnetic dipole interactions that induce
flip-flop transitions, a mechanism that can enable highly efficient, even
reversible, pure spin currents. To further study the dynamics within the spin
wire, we implement a magnetic resonance protocol that improves spatial
resolution and provides nanoscale spectroscopic information which confirms the
observed spin transport. This spectroscopic tool opens a potential route for
spatially encoding spin information in long-lived nuclear spin states. Our
measurements probe intrinsic spin dynamics at the nanometre scale, providing
detailed insight needed for practical devices which seek to control spin.
J. Cardellino
N. Scozzaro
M. R. Herman
A. J. Berger
C. Zhang
K. C. Fong
C. Jayaprakash
D. V. Pelekhov
P. C. Hammel
02/20/2019--
02/26/2018
Broadband EPR Spectroscopy in Diverse Field Conditions Using Optically Detected Nitrogen-Vacancy Centers in Diamond
Paramagnetic magnetic resonance, a powerful technique for characterizing and
identifying chemical targets, is increasingly used for imaging; however, low
spin polarization at room temperature and moderate magnetic fields poses
challenges for detecting small numbers of spins. In this work, we use
fluorescence from nitrogen-vacancy (NV) centers in diamond to detect the
electron paramagnetic resonance (EPR) spectrum of optically inactive target
spins under various conditions of field magnitude and orientation. The protocol
requires neither direct microwave manipulation of the NV spins nor spectral
overlap between NV and target spin resonances, thus enabling broadband
detection. This unexpected non-resonant coupling is attributable to a
two-phonon process that relaxes NV spins proximate to the fluctuating dipole
moment of the target spin, suggesting that the sensitivity is determined by the
dipole-dipole coupling strength. This approach holds promise for sensitive EPR
detection, particularly in settings where control over the diamond-crystal
orientation is difficult. This is notably the case for biological sensing
applications, where nanodiamonds are being pursued for their bright, stable
fluorescence and biocompatibility.
C. M. Purser
V. P. Bhallamudi
C. S. Wolfe
H. Yusuf
B. A. McCullian
C. Jayaprakash
M. E. Flatté
P. C. Hammel
04/26/2014--
04/26/2014
Host-to-host variation of ecological interactions in polymicrobial infections
Host-to-host variability with respect to interactions between microorganisms
and multicellular hosts are commonly observed in infection and in homeostasis.
However, the majority of mechanistic models used in analyzing
host-microorganism relationships, as well as most of the ecological theories
proposed to explain co-evolution of host and microbes, are based on averages
across a host population. By assuming that observed variations are random and
independent, these models overlook the role of inter-host differences. Here we
analyze mechanisms underlying host-to-host variations, using the
well-characterized experimental infection model of polymicrobial otitis media
(OM) in chinchillas, in combination with population dynamic models and a
Maximum Entropy (MaxEnt) based inference scheme. We find that the nature of the
interactions among bacterial species critically regulates host-to-host
variations of these interactions. Surprisingly, seemingly unrelated phenomena,
such as the efficiency of individual bacterial species in utilizing nutrients
for growth and the microbe-specific host immune response, can become
interdependent in a host population. The latter finding suggests a potential
mechanism that could lead to selection of specific strains of bacterial species
during the coevolution of the host immune response and the bacterial species.
Sayak Mukherjee
Kristin E. Weimer
Sang-Cheol Seok
Will C. Ray
C. Jayaprakash
Veronica J. Vieland
W. Edward Swords
Jayajit Das
09/19/2000--
09/19/2000
Dynamic Phase Transition in a Time-Dependent Ginzburg-Landau Model in an Oscillating Field
The Ginzburg-Landau model below its critical temperature in a temporally
oscillating external field is studied both theoretically and numerically. As
the frequency or the amplitude of the external force is changed, a
nonequilibrium phase transition is observed. This transition separates
spatially uniform, symmetry-restoring oscillations from symmetry-breaking
oscillations. Near the transition a perturbation theory is developed, and a
switching phenomenon is found in the symmetry-broken phase. Our results confirm
the equivalence of the present transition to that found in Monte Carlo
simulations of kinetic Ising systems in oscillating fields, demonstrating that
the nonequilibrium phase transition in both cases belongs to the universality
class of the equilibrium Ising model in zero field. This conclusion is in
agreement with symmetry arguments [G. Grinstein, C. Jayaprakash, and Y. He,
Phys. Rev. Lett. 55, 2527 (1985)] and recent numerical results [G. Korniss,
C.J. White, P. A. Rikvold, and M. A. Novotny, Phys. Rev. E (submitted)].
Furthermore, a theoretical result for the structure function of the local
magnetization with thermal noise, based on the Ornstein-Zernike approximation,
agrees well with numerical results in one dimension.
H. Fujisaka
H. Tutu
P. A. Rikvold
05/24/2000--
05/24/2000
Aspects of the stochastic Burgers equation and their connection with turbulence
We present results for the 1 dimensional stochastically forced Burgers
equation when the spatial range of the forcing varies. As the range of forcing
moves from small scales to large scales, the system goes from a chaotic,
structureless state to a structured state dominated by shocks. This transition
takes place through an intermediate region where the system exhibits rich
multifractal behavior. This is mainly the region of interest to us. We only
mention in passing the hydrodynamic limit of forcing confined to large scales,
where much work has taken place since that of Polyakov.
In order to make the general framework clear, we give an introduction to
aspects of isotropic, homogeneous turbulence, a description of Kolmogorov
scaling, and, with the help of a simple model, an introduction to the language
of multifractality which is used to discuss intermittency corrections to
scaling.
We continue with a general discussion of the Burgers equation and forcing,
and some aspects of three dimensional turbulence where - because of the
mathematical analogy between equations derived from the Navier-Stokes and
Burgers equations - one can gain insight from the study of the simpler
stochastic Burgers equation. These aspects concern the connection of
dissipation rate intermittency exponents with those characterizing the
structure functions of the velocity field, and the dynamical behavior,
characterized by different time constants, of velocity structure functions. We
also show how the exponents characterizing the multifractal behavior of
velocity structure functions in the above mentioned transition region can
effectively be calculated in the case of the stochastic Burgers equation.
F. Hayot
C. Jayaprakash
05/23/2024--
05/23/2024
Assessment of the Role and Origin of S* in Orange Carotenoid Protein Photoconversion
The orange carotenoid protein (OCP) is the water-soluble mediator of
non-photochemical quenching in cyanobacteria, a crucial photoprotective
mechanism in response to excess illumination. OCP converts from a globular,
inactive state (OCPo) to an extended, active conformation (OCPr) under
high-light conditions, resulting in a concomitant redshift in the absorption of
the bound carotenoid. Here, OCP was trapped in either the active or inactive
state by fixing each protein conformation in trehalose-sucrose glass.
Glass-encapsulated OCPo did not convert under intense illumination and OCPr did
not convert in darkness, allowing the optical properties of each conformation
to be determined at room temperature. We measured pump wavelength-dependent
transient absorption of OCPo in glass films and found that initial OCP
photoproducts are still formed, despite the glass preventing completion of the
photocycle. By comparison to the pump wavelength dependence of the OCPo to OCPr
photoconversion yield in buffer, we show that the long-lived carotenoid
singlet-like feature (S*) is associated with ground-state heterogeneity within
OCPo, rather than triggering OCP photoconversion.
James P. Pidgeon
George A. Sutherland
Matthew S. Proctor
Shuangqing Wang
Dimitri Chekulaev
Sayantan Bhattacharya
Rahul Jayaprakash
Andrew Hitchcock
Ravi Kumar Venkatraman
Matthew P. Johnson
C. Neil Hunter
Jenny Clark
02/28/2014--
02/28/2014
Extraction of absorption coefficients from GaN nanowires grown on opaque substrates
We demonstrate a new method to measure absorption coefficients in any family
of nanowires, provided they are grown on a substrate having considerable
difference in permittivity with the nanowire-air matrix. In the case of high
crystal quality, strain-free GaN nanowires, grown on Si (111) substrates with a
density of ~1010 cm-2, the extracted absorption coefficients do not exhibit any
enhancement compared to bulk GaN values, unlike relevant claims in the
literature. This may be attributed to the relatively small diameters, short
heights, and high densities of our nanowire arrays.
Rahul Jayaprakash
Debo Ajagunna
Savvas Germanis
Maria Androulidaki
Katerina Tsagaraki
Alexandros Georgakilas
Nikos T Pelekanos
07/29/2025--
02/07/2025
Multicenter higher-derivative BPS black holes
We consider the reduction of four-derivative heterotic supergravity on a
torus and construct two-charge multicenter BPS black hole solutions. In $d=5$,
the three-form field can be dualized to a gauge field and we correspondingly
construct three-charge multicenter BPS black hole solutions to the dualized
Bergshoeff-de Roo action. This makes precise the embedding of known solutions
into five-dimensional $\alpha'$-corrected STU supergravity.
Yide Cai
Sabarenath Jayaprakash
James T. Liu
Robert J. Saskowski
06/21/2021--
04/03/2021
Cross-Modal learning for Audio-Visual Video Parsing
In this paper, we present a novel approach to the audio-visual video parsing
(AVVP) task that demarcates events from a video separately for audio and visual
modalities. The proposed parsing approach simultaneously detects the temporal
boundaries in terms of start and end times of such events. We show how AVVP can
benefit from the following techniques geared towards effective cross-modal
learning: (i) adversarial training and skip connections (ii) global context
aware attention and, (iii) self-supervised pretraining using an audio-video
grounding objective to obtain cross-modal audio-video representations. We
present extensive experimental evaluations on the Look, Listen, and Parse (LLP)
dataset and show that we outperform the state-of-the-art Hybrid Attention
Network (HAN) on all five metrics proposed for AVVP. We also present several
ablations to validate the effect of pretraining, global attention and
adversarial training.
Jatin Lamba
Abhishek
Jayaprakash Akula
Rishabh Dabral
Preethi Jyothi
Ganesh Ramakrishnan
12/07/2024--
12/05/2024
Automated LaTeX Code Generation from Handwritten Math Expressions Using Vision Transformer
Transforming mathematical expressions into LaTeX poses a significant
challenge. In this paper, we examine the application of advanced
transformer-based architectures to address the task of converting handwritten
or digital mathematical expression images into corresponding LaTeX code. As a
baseline, we utilize the current state-of-the-art CNN encoder and LSTM decoder.
Additionally, we explore enhancements to the CNN-RNN architecture by replacing
the CNN encoder with the pretrained ResNet50 model with modification to suite
the grey scale input. Further, we experiment with vision transformer model and
compare with Baseline and CNN-LSTM model. Our findings reveal that the vision
transformer architectures outperform the baseline CNN-RNN framework, delivering
higher overall accuracy and BLEU scores while achieving lower Levenshtein
distances. Moreover, these results highlight the potential for further
improvement through fine-tuning of model parameters. To encourage open
research, we also provide the model implementation, enabling reproduction of
our results and facilitating further research in this domain.
Jayaprakash Sundararaj
Akhil Vyas
Benjamin Gonzalez-Maldonado
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