Relevant bibliographies by topics / Physics model energy expenditure

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Physics model energy expenditure'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Physics model energy expenditure"

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Hong, Xin, Lingyun Meng, and Jian An. "Quantifying Travel Physical Energy Expenditure for Urban Travellers – A Case Study of Beijing." PROMET - Traffic&Transportation 32, no. 2 (2020): 219–28. http://dx.doi.org/10.7307/ptt.v32i2.2915.

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Travel physical energy expenditure for travellers has impact on travel mode choice behaviour. However, quantitative study on travel physical energy expenditure is rare. In this paper, the concept of travel physical energy expenditure coefficient has been presented. A case study has been carried out of young travellers in Beijing to get the value of physical energy expenditure per unit time under three transport modes, walking, car and public transportation. A series of experiments have been designed and conducted, which consider influence factors including age, gender, travel mode, riding post
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Chen, Kong Y., and Ming Sun. "Improving energy expenditure estimation by using a triaxial accelerometer." Journal of Applied Physiology 83, no. 6 (1997): 2112–22. http://dx.doi.org/10.1152/jappl.1997.83.6.2112.

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Chen, Kong Y., and Ming Sun. Improving energy expenditure estimation by using a triaxial accelerometer. J. Appl. Physiol. 83(6): 2112–2122, 1997.—In our study of 125 subjects (53 men and 72 women) for two 24-h periods, we validated energy expenditure (EE), estimated by a triaxial accelerometer (Tritrac-R3D), by using a whole-room indirect calorimeter under close-to-normal living conditions. The estimated EE was correlated with the measured total EE for the 2 days ( r = 0.925 and r = 0.855; P < 0.001) and in minute-by-minute EE ( P < 0.01). Resting EE formulated by the Tritrac was found t
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Lin, Bor-Shing, I.-Jung Lee, Chin-Shyurng Fahn, Yi-Fang Lee, Wei-Jen Chou, and Meng-Luen Wu. "Depth-Camera Based Energy Expenditure Estimation System for Physical Activity Using Posture Classification Algorithm." Sensors 21, no. 12 (2021): 4216. http://dx.doi.org/10.3390/s21124216.

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Insufficient physical activity is common in modern society. By estimating the energy expenditure (EE) of different physical activities, people can develop suitable exercise plans to improve their lifestyle quality. However, several limitations still exist in the related works. Therefore, the aim of this study is to propose an accurate EE estimation model based on depth camera data with physical activity classification to solve the limitations in the previous research. To decide the best location and amount of cameras of the EE estimation, three depth cameras were set at three locations, namely
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Evans, Alyssa, Gavin Q. Collins, Parker G. Rosquist, et al. "A Novel Method to Characterize Walking and Running Energy Expenditure." Journal for the Measurement of Physical Behaviour 1, no. 3 (2018): 100–107. http://dx.doi.org/10.1123/jmpb.2018-0008.

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Background: Physical activity and corresponding energy expenditure can improve health in various ways. Existing methods to directly measure energy expenditure are currently limited to laboratory settings and/or expensive instrumentation. The purpose of this study was to evaluate accuracy of energy expenditure characterization, during walking and running, using demographic data, as well as data collected via an accelerometer and novel piezoresponsive foam sensors. Methods: 30 individuals (14 females; mass = 67 ± 10 kg; height = 1.74 ± 0.08 m; age = 23 ± 3 yrs) walked and ran at five speeds (1.3
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Tudor-Locke, Catrine, Corby K. Martin, Meghan M. Brashear, Jennifer C. Rood, Peter T. Katzmarzyk, and William D. Johnson. "Predicting doubly labeled water energy expenditure from ambulatory activity." Applied Physiology, Nutrition, and Metabolism 37, no. 6 (2012): 1091–100. http://dx.doi.org/10.1139/h2012-097.

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The purpose of this study was to evaluate the potential for using accelerometer-determined ambulatory activity indicators (steps per day and cadence) to predict total energy expenditure (TEE) and physical activity energy expenditure (PAEE) derived from doubly labeled water (DLW). Twenty men and 34 women (20–36 years of age) provided complete anthropometric, accelerometer, resting metabolic rate (RMR), and DLW data. TEE and PAEE were determined for the same week that accelerometers were worn during waking hours. Accelerometer data included mean steps per day, peak 30-min cadence (average steps
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Rothney, Megan P., Megan Neumann, Ashley Béziat, and Kong Y. Chen. "An artificial neural network model of energy expenditure using nonintegrated acceleration signals." Journal of Applied Physiology 103, no. 4 (2007): 1419–27. http://dx.doi.org/10.1152/japplphysiol.00429.2007.

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Accelerometers are a promising tool for characterizing physical activity patterns in free living. The major limitation in their widespread use to date has been a lack of precision in estimating energy expenditure (EE), which may be attributed to the oversimplified time-integrated acceleration signals and subsequent use of linear regression models for EE estimation. In this study, we collected biaxial raw (32 Hz) acceleration signals at the hip to develop a relationship between acceleration and minute-to-minute EE in 102 healthy adults using EE data collected for nearly 24 h in a room calorimet
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Westerterp, Klaas R., Jeroen H. H. L. M. Donkers, Elisabeth W. H. M. Fredrix, and Piet oekhoudt. "Energy intake, physical activity and body weight: a simulation model." British Journal of Nutrition 73, no. 3 (1995): 337–47. http://dx.doi.org/10.1079/bjn19950037.

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In adults, body mass (BM) and its components fat-free mass (FFM) and fat mass (FM) are normally regulated at a constant level. Changes in FM and FFM are dependent on energy intake (EI) and energy expenditure (EE). The body defends itself against an imbalance between EI and EE by adjusting, within limits, the one to the other. When, at a given EI or EE, energy balance cannot be reached, FM and FFM will change, eventually resulting in an energy balance at a new value. A model is described which simulates changes in FM and FFM using EI and physical activity (PA) as input variables. EI can be set
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Bonomi, A. G., G. Plasqui, A. H. C. Goris, and K. R. Westerterp. "Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer." Journal of Applied Physiology 107, no. 3 (2009): 655–61. http://dx.doi.org/10.1152/japplphysiol.00150.2009.

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Accelerometers are often used to quantify the acceleration of the body in arbitrary units (counts) to measure physical activity (PA) and to estimate energy expenditure. The present study investigated whether the identification of types of PA with one accelerometer could improve the estimation of energy expenditure compared with activity counts. Total energy expenditure (TEE) of 15 subjects was measured with the use of double-labeled water. The physical activity level (PAL) was derived by dividing TEE by sleeping metabolic rate. Simultaneously, PA was measured with one accelerometer. Accelerome
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Jimmy, Gerda, Roland Seiler, and Urs Maeder. "Development and Validation of Energy Expenditure Prediction Models Based on GT3X Accelerometer Data in 5- to 9-Year-Old Children." Journal of Physical Activity and Health 10, no. 7 (2013): 1057–67. http://dx.doi.org/10.1123/jpah.10.7.1057.

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Background:Accelerometry has been established as an objective method that can be used to assess physical activity behavior in large groups. The purpose of the current study was to provide a validated equation to translate accelerometer counts of the triaxial GT3X into energy expenditure in young children.Methods:Thirty-two children aged 5–9 years performed locomotor and play activities that are typical for their age group. Children wore a GT3X accelerometer and their energy expenditure was measured with indirect calorimetry. Twenty-one children were randomly selected to serve as development gr
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Hunter, Gary R., Carla J. Wetzstein, David A. Fields, Amanda Brown, and Marcas M. Bamman. "Resistance training increases total energy expenditure and free-living physical activity in older adults." Journal of Applied Physiology 89, no. 3 (2000): 977–84. http://dx.doi.org/10.1152/jappl.2000.89.3.977.

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The purpose of this study was to determine what effects 26 wk of resistance training have on resting energy expenditure (REE), total free-living energy expenditure (TEE), activity-related energy expenditure (AEE), engagement in free-living physical activity as measured by the activity-related time equivalent (ARTE) index, and respiratory exchange ratio (RER) in 61- to 77-yr-old men ( n = 8) and women ( n = 7). Before and after training, body composition (four-compartment model), strength, REE, TEE (doubly labeled water), AEE (TEE − REE + thermic response to meals), and ARTE (AEE adjusted for e
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Dissertations / Theses on the topic "Physics model energy expenditure"

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Abella, Daniel. "Towards promoting the well-being of wheelchair users by measuring physical activity." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20737.

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To measure physical activity in a wheelchair user is important. Disabled people have been found to be less active and it has negative health implications. By relating to ones own physical activity in concrete form it is easier to reinforce a positive attitude towards being physically active. The aim of this thesis is to show how a system can be built, that is able to collect measurements from sensors, with usability in mind. The system consists of software that integrates an iPhone, Apple Watch and a Tacx rotation sensor mounted on a wheelchair. With the help of a physics model these measureme
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Rogowitz, Gordon L. "A Model of Energy Expenditure in White-tailed Jackrabbits (Lepus townsendii) Based on Integrated Studies of Energetics and Field Ecology." DigitalCommons@USU, 1988. https://digitalcommons.usu.edu/etd/6457.

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Field and laboratory studies were conducted to develop a model of energy expenditure in a population of white-tailed jackrabbits (Lepus townsendii). Field work in southwestern Wyoming during 1985-87 showed that the breeding season commenced at snowmelt and ceased during late- July drought. Adult females reproduced relatively synchronously and produced a mean of three litters annually. Greatest fetal production occurred in the second litter period. Collections indicated a 1:1 sex ratio, few jackrabbits >2 years-old, and a density of 7 animals / km2 in the population. Postnatal growth was sigmoi
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Voon, Rudi Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "A telemedicine-based energy monitor for managing diabetes mellitus." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2008. http://handle.unsw.edu.au/1959.4/41328.

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Diabetes mellitus is a chronic disease in which the body does not produce sufficient insulin or in which the body has high insulin resistance thus making the regulation of blood glucose metabolism difficult. Currently, diabetes is still incurable. All patients need to well manage their blood glucose levels to reduce the risk of complications. This dissertation is comprised of two major studies. In diabetes type I, the blood glucose can only be managed by multiple daily injection of insulin. However, most patients tend to have difficulty in deciding the right amount of insulin dose. The first
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Rislow, Benjamin Carl. "Low Energy Tests of the Standard Model." W&M ScholarWorks, 2013. https://scholarworks.wm.edu/etd/1539623625.

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The Standard Model describes a wide range of fundamental interactions. Searches are ongoing for experimental results that differ from the Standard Model predictions. Such disagreements would both indicate that the Standard Model is incomplete and constrain the properties of New Physics scenarios. to probe the Standard Model over a wide kinematic range, low energy tests are necessary to complement experiments in the high energy regime. We perform calculations for experiments that are representative of two general types of low energy tests. The Qweak experiment at Jefferson Lab is a low energy m
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Harper, Jane. "Improving Estimation of Resting Energy Expenditure in Seriously Injured Individuals." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1241571769.

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Farooq, Muhammad Omer. "Observational constraints on dark energy cosmological model parameters." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16623.

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Doctor of Philosophy<br>Department of Physics<br>Bharat Ratra<br>The expansion rate of the Universe changes with time, initially slowing (decelerating) when the universe was matter dominated, because of the mutual gravitational attraction of all the matter in it, and more recently speeding up (accelerating). A number of cosmological observations now strongly support the idea that the Universe is spatially flat (provided the dark energy density is at least approximately time independent) and is currently undergoing an accelerated cosmological expansion. A majority of cosmologists consider ``dar
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Bridgwater, Sally. "Accurate free energy methods for model organic solids." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/66466/.

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We discuss existing free energy methods for use with investigation of solid-solid polymorphism. An alternative implementation for phase switch Monte Carlo is introduced which samples from two synchronised Markov chains exploring both polymorphs, using a set of generalised coordinates to transform between Markov chains. This is validated against the existing results for face-centred cubic (fcc) and hexagonal close-packed (hcp) hard sphere crystals. The extension to more complex crystals including flexibility and constraints is explored. This extension is applied to a hard sphere model of linear
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Argante, Erco. "CoCa a model for parallelization of high energy physics software /." Eindhoven : Eindhoven University of Technology, 1998. http://catalog.hathitrust.org/api/volumes/oclc/41892351.html.

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Sharma, Arjun. "Placing Limits on Experimental Signatures of Dark Matter Model Predictions." Thesis, The University of Chicago, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10807985.

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<p> In this work, we consider two different models of dark matter and set limits on results of experiments. One is a dynamic dark matter scenario where we put limits on parameters observable by experiments DAMA and XMASS through nuclear recoil of detector atoms (direct detection). The second is a case of dark matter annihilation into positrons and electrons and the signal this would produce on measured values of positron flux and ratio of electron to positron (indirect detection). The values of these quantities as measured by FERMI and PAMELA experiments are observed and an explanation using a
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Tekola, Abiy G. "Spherically symmetric dark energy structures in the context of Chaplygin gas model." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/6518.

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Includes bibliographical references (leaves 42-43).<br>This paper investigates the existence of spherically symmetrical dark energy structures under the context of Chaplygin gas. A scaling solution of the form r -2/3 is found for the density and then we calculated the corresponding rotational curve and it turns out to be unrealistic implying that such objects don't exist. Finally we modified the equation of state of the Chaplygin gas to an equation of state of the form P = (j 2 P - A and compared p with observational data to see to what physical extent this equation works and it isdetermined t
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Books on the topic "Physics model energy expenditure"

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Nomura, Kosuke. Interacting Boson Model from Energy Density Functionals. Springer Japan, 2013.

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Argante, Erco. CoCa: A model for parallelization of high energy physics software. Eindhoven University of Technology, 1998.

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Scottish Qualifications Authority. National 5 physics: 2013 specimen question paper & 2013 model papers. Hodder Gibson, 2013.

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European School of High-Energy Physics (2000 Caramulo, Portugal). 2000 European School of High-Energy Physics: Caramulo, Portugal, 20 August-2 September 2000 : proceedings. Edited by Ellis N, March-Russell J, and European Organization for Nuclear Research. CERN, 2001.

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European School of High-Energy Physics (2001 Beatenberg, Switzerland). 2001 European School of High-Energy Physics: Beatenberg, Switzerland, 26 August-8 September 2001 : proceedings. Edited by Ellis N, March-Russell J, and European Organization for Nuclear Research. CERN, 2002.

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European School of High-Energy Physics (2002 Pylos, Greece). 2002 European School of High-Energy Physics: Pylos, Greece, 25 August-7 September 2002 : proceedings. CERN, 2004.

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International Conference on High Energy Physics. (1992 Ottawa, Ont.). Beyond the standard model III: Proceedings of the International Conference on High Energy Physics, Ottawa, Canada, June 22-24, 1992. Edited by Godfrey Stephen and Kalyniak Patricia Ann 1956-. World Scientific, 1993.

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Dawson, Donald Andrew. Large deviations, free energy functional and quasi-potential for a mean field model of interacting diffusions. American Mathematical Society, 1989.

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T, Aliev, Pak Namık K, and Serin M, eds. The standard model and beyond: Proceedings of the 2nd International Summer School in High Energy Physics, Muğla, 25-30 September 2006. Springer, 2008.

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Hoogland, Jiri Kamiel. Radiative corrections, quasi-Monte Carlo methods and discrepancy: Computational aspects of high energy phenomenology. Universiteit van Amsterdam, 1996.

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Book chapters on the topic "Physics model energy expenditure"

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Galluccio, Carla, Rosa Fabbricatore, and Daniela Caso. "Exploring the intention to walk: a study on undergraduate students using item response theory and theory of planned behaviour." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.30.

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Physical activity is one of the most basic human functions, and it is an important foundation of health throughout life. Physical activity apports benefit on both physical and mental health, reducing the risk of several diseases and lowering stress reactions, anxiety and depression. More specifically, physical activity is defined as "any bodily movement produced by skeletal muscles that require energy expenditure" (World Health Organization), including in this definition several activities. Among them, walking has been shown to improve physical and mental well-being in every age group. Despite that, insufficient walking among university students has been increasingly reported, requiring walking promotion intervention. In order to do this, dividing students based on their intention to walk might be useful since the intention is considered as the best predictor of behaviour. In this work, we carried out a study on university students' intention to walk and some of its predictors by exploiting Item Response Theory (IRT) models. In particular, we inspected the predictors of intention by mean of Rating Scale Graded Response Model (RS-GRM). Then we used the Latent Class IRT model to divide students according to their intention to walk, including predictors' scores as covariates. We chose the intention's predictors according to an extension of the Theory of Planned Behaviour (TPB), with both classic and additional variables. The formers are attitude toward behaviour, subjective norms, and perceived behavioural control, whereas we used risk perception, self-efficacy, anticipation, self-identity and anticipated regret as additional variables. Data was collected administrating a self-report questionnaire to undergraduate students enrolled in the Psychology course at Federico II University of Naples.
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Mandelstam, Stanley. "Ultra-Violet Finiteness of the N = 4 Model." In High-Energy Physics. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-8848-7_13.

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Henry, Belinda A., and Iain J. Clarke. "Sheep as a Model for Control of Appetite and Energy Expenditure." In Model Animals in Neuroendocrinology. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119391128.ch15.

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Levintov, I. I. "3 P 0 Model of Soft Binary Processes." In High Energy Spin Physics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86995-2_72.

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Castaños, Octavio, and Peter O. Hess. "The Symplectic Model and Potential-Energy-Surfaces." In Symmetries in Physics. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77284-9_6.

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Butler, John M. "Standard Model Physics at TeV2000." In International Europhysics Conference on High Energy Physics. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59982-8_215.

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Poggioli, Luc. "Standard Model Physics at LHC." In International Europhysics Conference on High Energy Physics. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59982-8_219.

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Li, Bing An. "Quark Spin Content of the Proton in the Skyrme Model." In High Energy Spin Physics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86995-2_44.

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Konno, N., Y. Uehara, H. Nakamura, and H. Noya. "The Analysis of the Narrow Dibaryon Resonances Based on the Diquark Cluster Model." In High Energy Spin Physics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86995-2_65.

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Kulish, Yu V. "Polarization Investigations and Verification of the High-Spin Hadron Model Without Power Divergences." In High Energy Spin Physics. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-86995-2_79.

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Conference papers on the topic "Physics model energy expenditure"

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Roberts, Dustyn P., and Joo H. Kim. "Predicting Energy Consumption in Humans Using Joint Space Methods." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71353.

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Humans act as transducers that transform chemical energy from food, water, and air into mechanical work and the thermal energy of heat loss. Although this energy expenditure can be experimentally measured, methods of predicting energy expenditure have not been broadly studied. This work introduces a new formulation of metabolic energy consumption based on muscle physiology and the equations of motion for the human body. Kinematic and kinetic data from a gait experiment and an over-arm throwing simulation are used to illustrate and validate this new model. The results extend the capabilities of
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Karimi, Mahmood, and Ramesh R. Rao. "Human Body Composition Estimation and Model-Free Control Design for Weight Management." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6354.

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It is well known that obesity, a chronic disease, can lead to increased risk of other serious chronic diseases and even death. Knowledge of daily changes in lean muscle mass and body fat can be helpful in developing personalized diet and exercise routines to correct this problem. In this paper, it is assumed that measurements of individual body composition components are available only periodically although the total body weight is tracked on a daily basis. The control input is physical activity whose profile can be constrained to accommodate individual preferences while the energy intake can
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Rodrigo, Silvia, Isabel Garcia, Marian Franco, Ana Alonso-Vazquez, and Jorge Ambrosio. "Energy expenditure during human gait. I — An optimized model." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5627174.

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Zheng, Yuhuang. "An Activity Recognition Algorithm Based on Energy Expenditure Model." In 3rd International Conference on Mechatronics, Robotics and Automation. Atlantis Press, 2015. http://dx.doi.org/10.2991/icmra-15.2015.193.

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Delgado-Gonzalo, R., P. Celka, Ph Renevey, et al. "Physical activity profiling: Activity-specific step counting and energy expenditure models using 3D wrist acceleration." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7320271.

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Peng, William, and Joo H. Kim. "Computational Metabolic Energy Expenditure Model With Novel Heat Dissipation Formulation." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47728.

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The limitations of empirical models for human metabolic energy expenditure (MEE) have motivated the search for general-purpose models based on investigations of heat dissipation. As opposed to the muscle-space approach to MEE modeling, the study outlined here adopts a joint-space MEE model developed from thermodynamics and multibody system dynamics principles. The MEE is formulated as a function of joint-space kinematic and kinetic variables and commonly measured system kinetic and kinematic parameters. This study builds on previous work by introducing an updated heat dissipation formulation t
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AFOUDA, ABEL, EMMANUEL A. LAWIN, and THIERRY LEBEL. "A STOCHASTIC STREAMFLOW MODEL BASED ON A MINIMUM ENERGY EXPENDITURE CONCEPT." In Proceedings of the Third International Workshop. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702487_0003.

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Zhen Xu, Chengzhi Zong, and Roozbeh Jafari. "Constructing energy expenditure regression model using heart rate with reduced training time." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319897.

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Haapalainen, Eija, Perttu Laurinen, Pekka Siirtola, Juha Roning, Hannu Kinnunen, and Heidi Jurvelin. "Exercise energy expenditure estimation based on acceleration data using the linear mixed model." In 2008 IEEE International Conference on Information Reuse and Integration. IEEE, 2008. http://dx.doi.org/10.1109/iri.2008.4583018.

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Jang, Y., Y. Ju, Y. Cho, K. Kim, and S. Kim. "A novel modeling study of energy expenditure trends of children's daily life for calorie tracker application." In 2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE). IEEE, 2016. http://dx.doi.org/10.1109/gmepe-pahce.2016.7504658.

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Reports on the topic "Physics model energy expenditure"

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Morrison, W., and R. Mendelsohn. The impacts of climate change on energy: An aggregate expenditure model for the US. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/656513.

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Brower, Richard C. Searching for Physics Beyond the Standard Model: Strongly-Coupled Field Theories at the Intensity and Energy Frontiers. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1331010.

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Brower, Richared. EXASCALE ALGORITHMS AND SOFTWARE FOR LATTICE FIELD THEORY IN HIGH ENERGY PHYSICS: SEARCHING BEYOND THE STANDARD MODEL. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1605003.

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Farbin, Amir. DoE Early Career Research Program: Final Report: Model-Independent Dark-Matter Searches at the ATLAS Experiment and Applications of Many-core Computing to High Energy Physics. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1193786.

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Fan, Jiwen, Zhangshuan Hou, Paul O'Gorman, et al. Develop a weather-aware climate model to understand and predict extremes and associated power outages and renewable energy shortageswith uncertainty-aware and physics-informed machine learning. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769695.

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