A5015122719- Spectroscopy Techniques in Biomedical and Chemical Research
- Analytical Chemistry and Chromatography
- Spectroscopy and Chemometric Analyses
- Cardiac Arrhythmias and Treatments
- ECG Monitoring and Analysis
- Gold and Silver Nanoparticles Synthesis and Applications
- Quantum and electron transport phenomena
- Biosensors and Analytical Detection
- Quantum Computing Algorithms and Architecture
- Cardiac pacing and defibrillation studies
- Congenital Heart Disease Studies
- Quantum many-body systems
- Water Quality Monitoring and Analysis
- Air Quality and Health Impacts
Rice University
2022-2025
Since its discovery, surface-enhanced Raman spectroscopy (SERS) has shown outstanding promise of identifying trace amounts unknown molecules in rapid, portable formats. However, the many different types nanoparticles or nanostructured metallic SERS substrates created over past few decades show substantial variability spectra they provide. These inconsistencies have even raised speculation that substrate-specific spectral libraries must be compiled for practical use this type spectroscopy....
The detection and identification of polycyclic aromatic hydrocarbons (PAHs) their derivatives, compounds (PACs), are essential for environmental health monitoring, assessing toxicological exposure associated risks. PAHs/PACs the most dangerous chemicals found in tobacco smoke, cigarette use during pregnancy can convey these molecules to developing fetus through placenta. This is with many negative outcomes, from premature birth sudden infant death syndrome adverse neurodevelopmental...
Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems great success. However, it remains uncertain how CNNs, a model complexity that scales at most linearly number particles, solve “curse dimensionality” and efficiently represent wavefunctions in exponentially large Hilbert spaces. In this work, we use methodologies from information theory, group theory machine learning, to elucidate...
Surface-enhanced Raman spectroscopy (SERS) holds exceptional promise as a streamlined chemical detection strategy for biological and environmental contaminants compared with current laboratory methods. Priority pollutants such polycyclic aromatic hydrocarbons (PAHs), detectable in water soil worldwide known to induce multiple adverse health effects upon human exposure, are typically found multicomponent mixtures. By combining the molecular fingerprinting capabilities of SERS signal...
Surface-enhanced Raman spectroscopy (SERS) gained much attention following initial claims and subsequent verifications of single-molecule sensitivity. SERS substrates based on plasmonic nanoparticles in close proximity create "hot spots" when illuminated, which, the limit, follow log–normal statistics for molecular occupancy. Here, we rigorously examine transition from limit to hot spot saturation, a regime that follows Gaussian statistics, by varying 1:1 bianalyte concentration over 3...
BackgroundJunctional ectopic tachycardia (JET) is a prevalent life-threatening arrhythmia in children with congenital heart disease (CHD), marked resemblance to normal sinus rhythm (NSR) often leading delay diagnosis.ObjectiveTo develop novel automated detection tool identify JET.MethodsA single-center retrospective cohort study of CHD was performed. Electrocardiographic (ECG) data produced by bedside monitors captured automatically the Sickbay platform. Based on R and P wave peaks, 2...