Peter de B. Harrington
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View article: A Gigaparsec-scale Hydrodynamic Volume Reconstructed with Deep Learning
A Gigaparsec-scale Hydrodynamic Volume Reconstructed with Deep Learning Open
The next generation of spectroscopic surveys will map the large-scale structure of the Universe at high redshifts (2 ≤ z ≤ 5) using millions of quasar spectra, enabling major advances in constraining both the standard cosmological model an…
View article: Self‐Optimizing Radial Basis Function Support Vector Classifier (SO‐RBFSVC)
Self‐Optimizing Radial Basis Function Support Vector Classifier (SO‐RBFSVC) Open
Support vector classifiers (SVCs) typically use radial basis function (RBF) kernels to map data into higher dimensional spaces that may improve the linear separation of otherwise nonseparable classes. We present a novel self‐optimizing rad…
View article: Multiway Analysis of the Electrochemical Oxidation Pathway of a Lignin Model Compound, Benzyl Phenyl Ether, with Chemometrics
Multiway Analysis of the Electrochemical Oxidation Pathway of a Lignin Model Compound, Benzyl Phenyl Ether, with Chemometrics Open
The economics of electrochemical depolymerization of lignin are most likely unfavorable without having control over the oxidation mechanism because many unwanted compounds are generated during depolymerization. Control over the depolymeriz…
View article: Hierarchical Conditional Multi-Task Learning for Streamflow Modeling
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling Open
Streamflow, vital for water resource management, is governed by complex hydrological systems involving intermediate processes driven by meteorological forces. While deep learning models have achieved state-of-the-art results of streamflow …
View article: Contamination levels of per- and polyfluoroalkyl substances (PFAS) in recent North American precipitation events. A review
Contamination levels of per- and polyfluoroalkyl substances (PFAS) in recent North American precipitation events. A review Open
Per- and polyfluoroalkyl substances (PFAS), known as forever chemicals, have received international attention over the last two decades for their health risks and environmental persistence. One pathway of human exposure to PFAS is by rainw…
View article: Reconstructing Lyman-$α$ Fields from Low-Resolution Hydrodynamical Simulations with Deep Learning
Reconstructing Lyman-$α$ Fields from Low-Resolution Hydrodynamical Simulations with Deep Learning Open
Hydrodynamical cosmological simulations are a powerful tool for accurately predicting the properties of the intergalactic medium (IGM) and for producing mock skies that can be compared against observational data. However, the need to resol…
View article: Towards Stability of Autoregressive Neural Operators
Towards Stability of Autoregressive Neural Operators Open
Neural operators have proven to be a promising approach for modeling spatiotemporal systems in the physical sciences. However, training these models for large systems can be quite challenging as they incur significant computational and mem…
View article: Sustainable protocol-based management of hypertension in one institution in northern Malawi
Sustainable protocol-based management of hypertension in one institution in northern Malawi Open
We conclude that a limited evidence based once-daily drug regimen can improve blood pressure control by comparison with standard management. Cost effectiveness of this approach will also be reported.
View article: Fast, high-fidelity Lyman $α$ forests with convolutional neural networks
Fast, high-fidelity Lyman $α$ forests with convolutional neural networks Open
Full-physics cosmological simulations are powerful tools for studying the formation and evolution of structure in the universe but require extreme computational resources. Here, we train a convolutional neural network to use a cheaper N-bo…
View article: Estimating Galactic Distances From Images Using Self-supervised Representation Learning
Estimating Galactic Distances From Images Using Self-supervised Representation Learning Open
We use a contrastive self-supervised learning framework to estimate distances to galaxies from their photometric images. We incorporate data augmentations from computer vision as well as an application-specific augmentation accounting for …
View article: The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism Open
We present scalable hybrid-parallel algorithms for training large-scale 3D convolutional neural networks. Deep learning-based emerging scientific workflows often require model training with large, high-dimensional samples, which can make t…
View article: Biomass-Depolarized Electrolysis
Biomass-Depolarized Electrolysis Open
In this paper, we report on our recent efforts to develop a biomass-depolarized electrolyzer for efficient production of H2. Electrochemical oxidation of lignin-rich biorefinery waste streams can occur at lower overpotentials than those re…
View article: Spectral Representation of Proton NMR Spectroscopy for the Pattern Recognition of Complex Materials
Spectral Representation of Proton NMR Spectroscopy for the Pattern Recognition of Complex Materials Open
Proton nuclear magnetic resonance (NMR) spectroscopy provides a powerful tool for chemical profiling, also known as spectral fingerprinting, because of its inherent reproducibility. NMR is now increasing in use for authentication of comple…
View article: Strain-level Staphylococcus differentiation by CeO2-metal oxide laser ionization mass spectrometry fatty acid profiling
Strain-level Staphylococcus differentiation by CeO2-metal oxide laser ionization mass spectrometry fatty acid profiling Open
The utility of CeO2-MOLI MS FA profiling coupled with multivariate statistical analysis for performing strain-level differentiation of various Staphylococcus species proved to be a fast and reliable tool for identification. The simultaneou…
View article: Comparison of Flow Injection MS, NMR, and DNA Sequencing: Methods for Identification and Authentication of Black Cohosh (Actaea racemosa)
Comparison of Flow Injection MS, NMR, and DNA Sequencing: Methods for Identification and Authentication of Black Cohosh (Actaea racemosa) Open
Flow injection mass spectrometry and proton nuclear magnetic resonance spectrometry, two metabolic fingerprinting methods, and DNA sequencing were used to identify and authenticate Actaea species. Initially, samples of Actaea racemosa from…