Digital Commons Network^™

Predicting Sleep And Sleep Stage In Children Using Actigraphy And Heartrate Via A Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation, Robert Weaver Med, Phd, James White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E. Brown, Russell R. Pate Ph.D., Gregory J. Welk, Massimiliano De Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L. Adams Phd, Bridget Armstrong, Michael Beets Med, Mph, Phd

Faculty Publications

Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-term memory (LSTM) is a machine learning algorithm that may address these deficiencies. This study evaluated the agreement of LSTM sleep estimates from actigraphy and heartrate (HR) data with polysomnography (PSG). Children (N = 238, 5–12 years,52.8% male, 50% Black 31.9% White) participated in an overnight laboratory polysomnography. Participants were referred be-cause of suspected sleep disruptions. Children wore an ActiGraph GT9X accelerometer and two of three consumer wearables(i.e., Apple Watch Series 7, Fitbit Sense, Garmin Vivoactive 4) on their non-dominant wrist during the polysomnogram. LSTM estimated sleep versus wake and sleep stage (wake, not-REM, REM) using raw actigraphy and HR data for each 30-s epoch. Logistic regression and random forest were also estimated as a benchmark for performance with which to compare the LSTM results. A 10-fold cross-validation technique was employed, and confusion matrices were constructed. Sensitivity and specificity were calculated to assess the agreement between research-grade and consumer wearables with the criterion polysomnography. For sleep versus wake classification, LSTM outperformed logistic regression and random forest with accuracy ranging from 94.1to 95.1, sensitivity ranging from 94.9 to 95.9 across different devices, and specificity ranging from 84.5 to 89.6. The addition of HR improved the prediction of sleep stages but not binary sleep versus wake. LSTM is promising for predicting sleep and sleep staging from actigraphy data, and HR may improve sleep stage prediction.

Creatine Monohydrate Supplementation For Older Adults And Clinical Populations, Darren G. Candow, Sergej M. Ostojic, Philip D. Chilibeck, Igor Longobardi, Bruno Gualano, Mark A. Tarnopolsky, Theo Wallimann, Terence Moriarty, Richard B. Kreider, Scott C. Forbes, Uwe Schlattner, Jose Antonio

Faculty Publications

Background: The biological process of aging is typically associated with a decrease in muscle quantity, muscle performance (primarily strength), bone mass and architecture, functionality and neurological/cognitive function. From a healthy aging perspective, interventions that have the potential to overcome or attenuate these decrements are clinically relevant.

Methods: We conducted a narrative review on the efficacy of creatine monohydrate supplementation (CrM) in older adults. Results: Accumulating research shows that CrM, primarily when combined with exercise training, is safe and has beneficial effects on measures of whole-body lean body mass, regional muscle size, muscle strength, bone area and thickness, functional ability, glucose …

An Acoustofluidic Device For Sample Preparation And Detection Of Small Extracellular Vesicles, Jessica F. Liu, Jianping Xia, Joseph Rich, Shuaiguo Zhao, Kaichun Yang, Brandon Lu, Ying Chen, Tiffany Wen Ye, Tony Jun Huang

Faculty Publications

Small extracellular vesicles (sEVs) have emerged as powerful vectors for liquid biopsy, offering a noninvasive window into the dynamic physiological and pathological states of the body. However, to fully leverage the clinical potential of sEV biomarkers, it is imperative to develop robust and efficient technologies for their isolation and analysis. In this study, we introduce a novel sharp-edge acoustofluidic platform designed for rapid and effective sample preparation, coupled with sensitive detection of specific sEV populations based on their surface markers. Our approach utilizes acoustically activated sharp-edge microstructures to concentrate bead-bound sEVs within the microfluidic device, facilitating immediate visualization by fluorescence …

How Multi-Scale Modeling Can Help Examine Social Determinants Of Health And Resulting Disparities, Kyoko Yoshida, Elsje Pienaar, Shalanda A. Bynum, Naomi Chesler, Mitchel J. Colebank, Jessie Heneghan, Nadra Tyus, Jasmine Miller-Kleinhenz, Bruce Y. Lee

Faculty Publications

Social determinants of health (SDOH) are the conditions in which people live, work, and play, and the wider set of factors (e.g., social and economic systems and policies) that shape a person’s daily life. SDOH can differ significantly across communities and populations, having positive impacts for some and negative impacts for others. Ultimately, this results in differences in health and disease distribution, that are known as health disparities. Despite the known impacts of SDOH and calls to characterize, address, reduce, and eliminate health disparities, they persist and, in some cases, have worsened. To address this challenge, a session at the …

Precision Spectral Measurements Of Chromium And Titanium From 10 To 250  Gev/N And Sub-Iron To Iron Ratio With The Calorimetric Electron Telescope On The International Space Station, O. Adriani, Y. Akaike, K. Asano, Y. Asaoka, E. Berti, P. Betti, G. Bigongiari, W. R. Binns, M. Bongi, P. Brogi, A. Bruno, N. Cannady, G. Castellini, C. Checchia, M. L. Cherry, G. Collazuol, G. A. De Nolfo, K. Ebisawa, A. W. Ficklin, H. Fuke, S. Gonzi, T. G. Guzik, T. Hams, K. Hibino, M. Ichimura, M. H. Israel, K. Kasahara, J. Kataoka, R. Kataoka, Y. Katayose, C. Kato, N. Kawanaka, Y. Kawakubo

Faculty Publications

The Calorimetric Electron Telescope (CALET), in operation on the International Space Station since 2015, collected a large sample of cosmic-ray (CR) iron and sub-iron events over a wide energy interval. In this Letter, we report an update of our previous measurement of the iron flux and we present-for the first time-a high statistics measurement of the spectra of two sub-iron elements Cr and Ti in the energy interval from 10 to 250  GeV/n. The analyses are based on 8 years of data. Differently from older generations of cosmic-ray instruments which, in most cases, could not resolve individual sub-iron elements, CALET …

Machine Tool Interoperability In Smart Manufacturing And Industry 4.0, M. R. Mccormick, Mohammed Shafae, Thorsten Wuest

Faculty Publications

Real-time decision making is supported by data-hungry emerging technologies such as machine learning and digital twins. Innovations in manufacturing process control utilizing these technologies are constrained by interoperability. Marketing materials, sales pitches, and academic literature portray interoperability on the factory floor as seamless and robust. However, this study demonstrates that in spite of plentiful mature standards, interoperability on the factory floor is neither seamless nor robust. To exemplify interoperability in the context of an established and widely adopted standard, this study analyzes the interoperability of machine tools produced by a premier equipment builder which has exceeded US$1 billion in sales …

Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini

Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are widely studied due to their persistence, prevalence, and harmful effects on human and environmental health. Key challenges include improving detection methodologies, such as lowering detection limits, and developing more sensitive and selective approaches. Given the ubiquity of PFAS, effective sensing must be paired with remediation strategies that transform these pollutants into value-added or less toxic products. This perspective explores recent advances in electrochemical PFAS detection, highlighting challenges and future opportunities.

Recent Insights Into Electrochemical Sensing Of Per- And Polyfluoroalkyl Substances, Christopher T. Lebarron, Pavithra Hosseini, Seyyedamirhossein Hosseini

Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are widely studied due to their persistence, prevalence, and harmful effects on human and environmental health. Key challenges include improving detection methodologies, such as lowering detection limits, and developing more sensitive and selective approaches. Given the ubiquity of PFAS, effective sensing must be paired with remediation strategies that transform these pollutants into value-added or less toxic products. This perspective explores recent advances in electrochemical PFAS detection, highlighting challenges and future opportunities.

Large Bandgap Observed On The Surfaces Of Euzn2As2 Single Crystals, Dejia Kong, Siavash Karbasizadeh, Ganesh Narasimha, Paras Regmi, Chenggang Tao, Chenggang Tao, Sai Mu, Rama Vasudevan, Ian Harrison, Rongying Jin, Zheng Gai

Faculty Publications

EuZn₂As₂ (M = Zn, Cd, In, Sn etc.) is an excellent material system for studying magnetism-tuned topological properties. However, discrepancies exist between experimental data and theoretical calculations regarding the bulk and surface bandgaps. In this work, cleaved EuZn₂As₂ crystals are studied using scanning tunneling microscopy/spectroscopy and density functional theory calculations. Triangular-shaped defect-induced modifications in the local density of states help distinguish between Eu-terminated and AsZn-terminated surfaces. While large bandgaps ( ~1.5 eV at 77 K) are observed on both pristine surfaces, the bandgap size is found to be highly sensitive to local heterogeneity, tending …

An Upper-Mesopelagic-Zone Carbon Budget For The Subarctic North Pacific, Brandon M. Stephens, Montserrat Roca-Martí, Amy E. Maas, Vinícius J. Amaral, Samantha Clevenger, Shawnee Traylor, Claudia R. Benitez-Nelson, Philip W. Boyd, Ken O. Buesseler, Craig A. Carlson, Nicolas Cassar, Margaret Estapa, Andrea J. Fassbender, Yibin Huang, Phoebe J. Lam, Oliver Marchal, Susanne Menden-Deuer, Nicola L. Paul, Alyson E. Santoro, David A. Siegel, David P. Nicolson

Faculty Publications

Mesopelagic zone (MZ) carbon budgets comparing supply with demand can be difficult to constrain due to the temporal and spatial offsets between key sources and sinks, their associated uncertainties, and potential sampling biases. To address these challenges, the EXport Processes in the Ocean from RemoTe Sensing (EXPORTS) campaign increased the number and variety of simultaneous measurements to monitor temporal variability in the MZ carbon budget using both a Lagrangian frame of reference and long-term autonomous observations. In this study, we collate a comprehensive combination of new and previously published organic carbon supply and demand measurements collected from the surface (5 …

Electroexcitation Of Nucleon Resonances And Emergence Of Hadron Mass, Patrick Achenbach, Daniel S. Carman, Ralf Gothe, Kyungseon Joo, Victor I. Mokeev, Craig D. Roberts

Faculty Publications

Developing an understanding of phenomena driven by the emergence of hadron mass (EHM) is one of the most challenging problems in the Standard Model. This discussion focuses on the impact of results on nucleon resonance (N*) electroexcitation amplitudes (or γ_vpN*) obtained from experiments during the 6 GeV era in Hall B at Jefferson Lab on understanding EHM. Analyzed using continuum Schwinger function methods (CSMs), these results have revealed new pathways for the elucidation of EHM. A good description of the Δ (1232) 3/2⁺, N (1440) 1/2⁺, and Δ (1600) 3/2^{+ …}

‘They Say There’S More Equality…’: Women’S Perspectives On Progress And Setbacks In Gender Equality In Northern Iceland During Times Of Crisis, Marya Rozanova-Smith, Embla Eir Oddsdóttir, Andrey N. Petrov

Faculty Publications

Enabling gender equality through the empowerment of women to fully participate in modern society is one of the most critical steps toward sustainable development. However, recent UN reports indicate that the impacts of the COVID-19 pandemic have jeopardized the achievement of Sustainable Development Goal 5 by 2030 in many countries worldwide, including Iceland, which has consistently been ranked as a global leader in gender equality. The main objective of this qualitative study is to examine the gendered impacts of the COVID-19 pandemic by exploring women’s lived experiences during the crisis and its aftermath across the primary domains of gender equality—personal …

A Survey On Security Applications With Smartnics: Taxonomy, Implementations, Challenges, And Future Trends, Serigo Elizalde, Ali Alsabeh, Ali Mazloum, Samia Choeiri, Elie Kfoury, Jose Gomez, Jorge Crichigno

Faculty Publications

Over the last decade, network applications have grown exponentially, demanding high-speed interconnects. Unfortunately, chip manufacturers are approaching the upper limits of silicon-based computing with slow improvements in computational performance and energy efficiency. This trend has forced the industry to shift paradigms, moving from monolithic architectures to heterogeneous, domain-specific designs. Moreover, the ever-evolving threats compromise digital services and demand more scalable and flexible solutions to ensure service continuity in production networks. Smart Network Interface Cards (SmartNICs) are a product of this new paradigm, integrating domain-specific engines and general-purpose cores to offload various network infrastructure tasks, including those related to security. This …

Let’S Teach More Accurate And Inclusive History! The Case Of Islamic Contributions To Mathematics And Science, Noah (Nuh) Aydin

Faculty Publications

Schools commonly teach a history of mathematics and science that is Eurocentric. This selective version of the history of science, called Classical Narrative by some, is rooted in colonial times and mindset, and has reinforced certain negative opinions about other cultures. It ignores or downplays contributions to mathematics and sciences from non-western civilizations, and falsely attributes many scientific discoveries to European scholars. Medieval Islamic Civilization, which had strong connections to Renaissance Europe, serves as a clear example of how this narrative is distorted. Based on research on primary sources since the middle of the 20th century, we now know that …

Investigating Hurricane-Induced Salt Variation Across The Land-Estuary-Ocean Continuum Using A Dynamically Coupled Hydrological-Ocean Model, Xiaochen Zhao, Z. George Xue, Daoyang Bao, John Warner, Yanda Ou

Faculty Publications

Salinity variations across the Land-Estuary-Ocean (LEO) continuum are critical for coastal ecosystems and impact the socioeconomic benefits to local communities. However, evaluating these variations is challenging due to the complex interactions of terrestrial and oceanic processes, including river discharge, winds, tides, sea level rise, and storms. This study incorporates a salinity module into a newly developed dynamically coupled hydrological-ocean model on the COAWST platform, which is, to the best of our knowledge, the first process-based modeling that achieves seamless two-way land-ocean water and salt exchanges across the LEO continuum, facilitating simulations of landward salt input and transport. Using Hurricane Florence …

Effectiveness Of A Telephone-Delivered Walk With Ease Program On Arthritis-Related Symptoms, Function, And Activity: A Randomized Trial, Christine Pellegrini Ph.D., Sara Wilcox Phd, Yesil Kim, Scott Jamieson, Katherine Devivo, Daniel Heidtke

Faculty Publications

Objective

Walk With Ease (WWE) is a six-week arthritis-appropriate evidence-based physical activity program traditionally offered in a face-to-face format. Because many populations encounter participation barriers to in-person programs, WWE was modified for telephone delivery (WWE-T). The short- and long-term effects of this program on physical activity and arthritis-related outcomes were examined.

Methods

Participants (n = 267) with arthritis were randomized to WWE-T or a wait list control. WWE-T participants received two telephone calls per week (one group and one individual call) for six weeks. Group calls focused on arthritis education and social support. Individual calls focused on problem-solving and goal …

Ab Initio Informed 20ne(P, Pα)16o Reaction Elucidates The Emergence Of Alpha Clustering From Chiral Potentials, G. H. Sargsyan, Kazuki Yoshida, Kazuyuki Ogata, K. D. Launey, J. E. Escher, D. Langr, T. Dytrych

Faculty Publications

We report on the first ab initio informed α knock-out reaction in the intermediate-mass region, with the aim to probe the underlying chiral potential and its impact on the emergence of alpha clustering in this mass region. The theoretical predictions of the α+¹⁶O clustering in the ²⁰Ne ground state, based on the ab initio symmetry-adapted no-core shell model with continuum, yield a triple differential cross section for ²⁰Ne(p, pα)¹⁶O that is in a remarkable agreement with the data. This allows us to examine predictions of surface and in-medium α-cluster features that emerge from the …

Fermi Detection Of Gamma-Ray Emission From The Hot Coronae Of Radio-Quiet Active Galactic Nuclei, Jun Rong Liu, Jian Min Wang, Zi Hao Zhao, D. F. Torres, J. B. Thayer, H. Tajima, D. J. Suson, P. Spinelli, G. Spandre, E. J. Siskind, C. Sgrò, D. Serini, P. M. Saz Parkinson, M. Sánchez-Conde, O. Reimer, A. Reimer, M. Razzano, B. Rani, R. Rando, S. Rainò, G. Principe, T. A. Porter, R. Pillera, M. Pesce-Rollins, M. Persic, G. Panzarini, D. Paneque, J. F. Ormes, E. Orlando, M. Orienti, N. Omodei, R. Niwa, M. Negro

Faculty Publications

Relativistic jets around supermassive black holes are well-known powerful γ-ray emitters. In the absence of the jets in radio-quiet active galactic nuclei, how the supermassive black holes work in γ-ray bands is still unknown despite great observational efforts in the past three decades. Here, considering the previous efforts, we carefully select an active galactic nucleus sample composed of 37 nearby Seyfert galaxies with ultrahard X-rays for γ-ray detection by excluding all potential contamination in this band. Adopting a stacking technique, we report the significant γ-ray detection (test statistic 30.6, or 5.2σ) from the sample using 15-year Fermi-LAT observations. We find …

Purification Of Uranium Tetrafluoride Using Ammonium Bifluoride, Kyle R. Foster, Juliano Schorne-Pinto, Ronald E. Booth, Annabelle Husek, Mina Aziziha, Hunter B. Tisdale, Bernie W.N. Fitzpatrick, Hans Conrad Zur Loye, Markus H.A. Piro, Theodore M. Besmann

Faculty Publications

A method of purification for UF₄ utilizing NH₄HF₂ was investigated to remove oxygen and hydrate impurities from the salt. The original salt exhibited a melting point at 915–920 °C, which corresponds to the eutectic temperature of the UF4-UO2 system, showing clear signs of oxygen contamination. To purify the salt, an air-tight reaction vessel inside an argon glovebox was used to react UF4/NH4HF2 mixtures at elevated temperatures under a continuous flow of inert gas. The process yielded a significantly purer UF4 salt as confirmed via inert gas fusion, X-ray diffraction, differential scanning calorimetry and inductively coupled plasma-optical …

Redundant Functions Of Mir156-Targeted Squamosa Promoter Binding Protein-Like Transcription Factors In Promoting Cauline Leaf Identity, Darren Manuela, Liren Du, Qi Zhang, Yifei Liao, Tieqiang Hu, Jim P. Fouracre, Mingli Xu

Faculty Publications

No abstract provided.

Crystal Growth, Thermal, Optical, Magnetic And Electrochemical Properties Of Mo2Ta2O11, Md Abdullah Al Muhit, Alevtina A. Maksimova, Sean C. Wechsler, Habiba Binte Kashem, Gopabandhu Panigrahi, Gregory Morrison, Morgan Stefik, Hans Conrad Zur Loye

Faculty Publications

Single crystals of the transition metal oxide Mo2Ta2O11 were grown for the first time using molten flux synthesis. The compound crystalizes in the trigonal space group R 3‾m (no. 166) with lattice parameters a = b = 5.6267(1) Å and c = 25.1424(6) Å and a unit cell volume of 689.36(3) ų. The structure of Mo2Ta2O11 is composed of alternating layers of TaO6 octahedra and MoO4 tetrahedra connected via corner-sharing. CaH2 was used to achieve a partial low temperature reduction of Mo2Ta2O11. The electrochemical lithiation of polycrystalline Mo2Ta2O11 was also investigated for the first time. Mo2Ta2O11 underwent a …

From Disruption To Integration: Cryptocurrency Prices, Financial Fluctuations, And Macroeconomy, Zhengyang Chen

Faculty Publications

This paper examines cryptocurrency shock transmission to financial markets and the macroeconomy using a Bayesian structural VAR with Pandemic Priors from 2015 to 2024. By affecting overall risk appetite, cryptocurrency price shocks generate positive financial market spillovers, accounting for 18% of equity and 27% of commodity price fluctuations. Real economic effects are significant in driving investment but remain limited, contributing only 4% to unemployment and 6% to industrial production variance. However, cryptocurrency shocks explain 18% of price-level forecast error variance at long horizons. Narrative analysis reveals sentiment and technology as primary shock drivers. These findings demonstrate cryptocurrency's deep financial system …

Characterizing The Influence Of Racism-Related Stress And Pandemic-Related Changes In Social Connections On Cardiovascular Health: Study Protocol And Theoretical Framework, Jewel Scott Phd, Rn, Fnp-C, Victoria Money, Charles Ellis, Chanita Hughes-Halbert, Michelle A. Birkett, Gayenell Magwood

Faculty Publications

Background Cardiovascular-related morbidity and mortality among young adults are rising, and disparities between young Black and White women are immense. Health behaviors including physical activity and diet are essential for optimal cardiovascular health. Psychosocial factors, such as racism, perceived stress, and lack of social support, contribute to racial inequities in cardiovascular disease, which were further exacerbated by the COVID-19 pandemic. The proposed study aims to assess the influence of racism-related stress and other social determinants of health, including social connectedness, on quality of life and cardiovascular-related health behaviors. Methods This is a concurrent, triangulation, mixed-methods study combining survey data on …

Functional Time Transformation Model With Applications To Digital Health, Rahul Ghosal Ph.D., Marcos Matabuena, Sujit K. Ghosh

Faculty Publications

The advent of wearable and sensor technologies now leads to functional predictors which are intrinsically infinite dimensional. While the existing approaches for functional data and survival outcomes lean on the well-established Cox model, the proportional hazard (PH) assumption might not always be suitable in real-world applications. Motivated by physiological signals encountered in digital medicine, we develop a more general and flexible functional time-transformation model for estimating the conditional survival function with both functional and scalar covariates. A partially functional regression model is used to directly model the survival time on the covariates through an unknown monotone transformation and …

Purely Electronic Insulator-Metal Transition In Rutile Vo2, Henry Navarro, Ivan K. Schuller, Yimei Zhu

Faculty Publications

No abstract provided.

The Unappreciated Role Of Intent In Algorithmic Moderation Of Abusive Content On Social Media, Xinyu Wang, Sai Koneru, Pranav Narayanan Venkit, Brett Frischmann, Sarah Rajtmajer

Faculty Publications

No abstract provided.

A Demand Systems Analysis Of Energy Sources In The United States, Rafael Bakhtavoryan

Faculty Publications

This study estimates a Generalized Exact Affine Stone Index model to quantify demand structure among such energy sources as natural gas, coal, nuclear, wind, solar, and geothermal energy, employing monthly time-series data ranging from January of 2009 through December of 2020. The demand for natural gas, coal, and nuclear energy emerges as inelastic. A significant substitutability relationship is empirically established between the energy sources. All the computed expenditure elasticities are positive, with natural gas being the most sensitive and nuclear energy being the least sensitive to energy source expenditures. Pre-committed consumption is found for geothermal energy. Finally, the welfare implications …

High-Frequency Impedance Spectroscopy: Measurement Reproducibility, Electromagnetic, And Ionic Effects In Cylindrical Lithium-Ion Cells, Matthew R. King, Paul T. Coman, Rafid Mollah, Md Rayhan Khan, Saranraj Karuppuswami, Taylor R. Garrick, Ralph E. White

Faculty Publications

Accurate high-frequency electrochemical impedance spectroscopy (HF EIS) is critical for understanding lithium-ion battery (LIB) behavior under AC perturbations, relevant to electric vehicle systems and charging infrastructure. However, measurements at high frequencies are often distorted by external electromagnetic interference, poor contact quality, and wiring artifacts. This study investigates four experimental testbench configurations for HF EIS of cylindrical LIBs, highlighting the impact of contact resistance, Faraday shielding, wire twisting, and calibration. A coupled electrochemical-electromagnetic model is developed to isolate and analyze the skin effect and frequency-dependent electrolyte conductivity. Results show that spot-welded connections, twisted and shielded wiring, and calibration within a Faraday …

Daily Movement Activities Are Associated With Within-Person Instability Of Cognitive Function In Older Adults: Evidence From An Ambulatory Assessment Study, Chih-Hsiang Yang, Donald Hedeker, Jongwon Lee, Halle Prine, Donna Coffman, Jingkai Wei, Jonathan George Hakun

Faculty Publications

Background and Objectives

Physical inactivity and excessive sedentary time (ST) are associated with poor cognitive health in older adults. However, current literature largely relies on cross-sectional designs or in-lab cognitive assessments, which do not adequately reflect cognitive function in naturalistic settings. Further, existing studies have largely overlooked the variability or the instability in daily cognitive function, which represents a critical marker of cognitive decline. This ambulatory assessment study examined the temporal associations of daily movement behaviors with the mean levels and the variability of cognition among older adults at risk of dementia. Research Design and Methods

96 older adults from …

Understanding The Effect Of Chiral Nn Parametrization On Nuclear Shapes From An Ab Initio Perspective, Kevin S. Becker, Kristina D. Launey, Andreas Ekström, Grigor H. Sargsyan, Darin C. Mumma, Tomáš Dytrych, Daniel Langr, Jerry P. Draayer

Faculty Publications

The ab initio symmetry-adapted no-core shell model naturally describes nuclear deformation and collectivity, and is therefore well-suited to studying the dynamics and coexistence of shapes in atomic nuclei. For the first time, we analyze how these features in low-lying states of⁶Li and¹²C are impacted by the underlying realistic nucleon-nucleon interaction. We find that the interaction parametrization has a notable but limited effect on collective shapes in the lowest⁶Li and¹²C states, while collective structures in the excited 2⁺ state of¹²C are significantly more sensitive to the interaction parameters and exhibits …