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Monte Carlo and deterministic solutions of the forward master equation for random neutron populations

Monte Carlo and deterministic solutions of the forward maste...

2nd Topical Meeting of the Nuclear Nonproliferation Technology and Policy Conference: Bridging the Gaps in Nuclear Nonproliferation, ANTPC 2016

作者： O'Rourke, Patrick F. Prinja, Anil K. Fichtl, Erin D. Department of Nuclear Engineering University of New Mexico AlbuquerqueNM87131 United States Computational Physics and Methods Los Alamos National Laboratory P.O. Box 1663 Los AlamosNM87545 United States

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Neutron number probability distributions in a subcritical system using the forward master equation

Neutron number probability distributions in a subcritical sy...

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2016 Transactions of the American Nuclear Society Annual Meeting, ANS 2016

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Application of nonlinear krylov acceleration to a reconstructed discontinuous galerkin method for compressible flows 46

Application of nonlinear krylov acceleration to a reconstruc...

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46th AIAA Fluid Dynamics Conference, 2016

作者： Wang, Chuanjin Cheng, Jian Berndt, Markus Carlson, Neil N. Luo, Hong Department of Mechanical and Aerospace Engineering North Carolina State University RaleighNC27695-7910 United States School of Mathematics and Systems Science Beihang University Beijing100191 China Computational Physics and Methods Group Los Alamos National Laboratory Los AlamosNM87545-0001 United States

ISBN: (数字)9781624104367

ISBN: (纸本)9781624104367

A variant of Anderson Mixing, namely the Nonlinear Krylov Acceleration (NKA), is presented and implemented in a reconstructed Discontinuous Galerkin (rDG) method to solve the compressible Euler and Navier-Stokes equations on hybrid grids. A nonlinear system of equations as a result of a fully implicit temporal discretization at each time step is solved using the NKA method with a lower-upper symmetric Gauss-Seidel (LUSGS) preconditioner. The developed NKA method is used to compute a variety of flow problems and compared with a well-known Newton-GMRES method to demonstrate the performance of the NKA method. Our numerical experiments indicate that the NKA method outperforms its Newton-GMRES counterpart for transient flow problems, and is comparable to Newton-GMRES for steady cases, and thus provides an attractive alternative to solve the system of nonlinear equations arising from the rDG approximation. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Nonlinear equations

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Multi-fidelity geometry-centric multi-disciplinary analysis for design

Multi-fidelity geometry-centric multi-disciplinary analysis ...

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AIAA Modeling and Simulation Technologies Conference, 2016

作者： Alyanak, Edward Durscher, Ryan Haimes, Robert Dannenhoffer, John F. Bhagat, Nitin Allison, Darcy Air Force Research Laboratory Wright Patterson Air Force Base OH45433 United States Department of Aeronautics & Astronautics Aerospace Computational Design Laboratory Massachusetts Institute of Technology CambridgeMA02139 United States Mechanical and Aerospace Engineering Aerospace Computational Methods Laboratory Syracuse University SyracuseNY13244 United States AFRL Contractor Wright State Research Institute BeavercreekOH45431 United States AFRL Contractor Optimal Flight Sciences LLC DaytonOH45433 United States

ISBN: (数字)9781624104299

ISBN: (纸本)9781624104299

Aerospace vehicle design can be described as an evolutionary process of gathering information to make informed decisions. Meticulous application of this process involves numerous simulations covering many disciplines and fidelity levels. A design team needs to be able to easily increase or decrease fidelity as they gather more information about a particular design. To this end a geometry system that can support multi-disciplinary, multi-fidelity analysis from a single source is required. The computational Aircraft Prototype Syntheses (CAPS), which is a part of the engineering Sketch Pad (ESP), satisfies the above by combining proven computational geometry, meshing, and analyses model generation techniques into a complete browser-based, client-server environment that is accessible to the entire design team of an aerospace vehicle. CAPS links analysis and meshing disciplines to any ESP geometry model via dynamically-loadable Analysis Interface Module (AIM) plugins. CAPS is accessed from either a browser-based user interface and or Multi-Disciplinary Analysis and Optimization (MDAO) framework through a programing interface. In this paper we describe the fundamental building blocks of CAPS and ESP. The paradigm shift of creating geometry for multi-fidelity design is described in detail and represented in ESP scripts. We then demonstrate the use of this multi-fidelity geometry to support multi-fidelity, multi-physics analysis including discipline coupling. © 2016 by Edward Alyanak, Ryan Durscher, Robert Haimes, John F. Dannenhoffer, III, Nitin Bhagat, Darcy Allison.

关键词： computational geometry

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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Genetics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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Patchwork: A multipatch infrastructure for multiphysics/multiscale/multiframe fluid simulations

arXiv

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arXiv 2017年

作者： Shiokawa, Hotaka Cheng, Roseanne M. Noble, Scott C. Krolik, Julian H. Harvard-Smithsonian Center for Astrophysics 60 Garden Street CambridgeMA02138 United States Department of Physics and Astronomy Johns Hopkins University BaltimoreMD21218 United States Computational Physics and Methods Group Los Alamos National Laboratory P.O. Box 1663 Los AlamosNM87545 United States Department of Physics and Engineering Physics University of Tulsa TulsaOK74104 United States NASA Postdoctoral Program Senior Fellow Goddard Space Flight Center GreenbeltMD20771 United States

We present a "multipatch" infrastructure for numerical simulation of fluid problems in which sub-regions require different gridscales, different grid geometries, different physical equations, or different reference frames. Its key element is a sophisticated client-router-server framework for efficiently linking processors supporting different regions ("patches") that must exchange boundary data. This infrastructure may be used with a wide variety of fluid dynamics codes;the only requirement is that their primary dependent variables be the same in all patches, e.g., fluid mass density, internal energy density, and velocity. Its structure can accommodate either Newtonian or relativistic dynamics. The overhead imposed by this system is both problem- and computer cluster architecture-dependent. Compared to a conventional simulation using the same number of cells and processors employed on a problem not requiring multipatch methods, the cell-update per processor rate decreases by an amount that can range from negligible to a factor of a few;however, even in these problems, the infrastructure can permit substantial decreases in the total number of cell-updates required. Copyright © 2017, The Authors. All rights reserved.

关键词： Magnetohydrodynamics

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Ecological prototype vessel on reduced scale using the arduino platform to remove floating solid wastes that pollute the surface of the fund o island canal

Ecological prototype vessel on reduced scale using the ardui...

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OTC Brasil 2015: The Atlantic: From East to West - An Ocean of Innovation

作者： Neto, A.R. Villarreal, S.P. Landau, L. National Service for Industrial Training SENAI/FIRJAN Brazil Laboratory for Computational Methods in Engineering LAMCE/COPPE UFRJ Brazil

ISBN: (纸本)9781510814929

This paper presents the prototype development of an ecological vessel on a reduced scale as a preliminary test for building a final version to remove floating solid waste that pollute the surface of the Fund o Island Canal and later, the Guanabara Bay. Due to the immense amount of floating polluting solid waste dumped into the Fund o Island Canal by companies and by the surrounding population, which later spread throughout the Guanabara Bay, some kind of intervention is needed to encourage improvements in the navigation of boats, since the wastes (PET bottles, supermarket packaging, etc.) clog the bars where the suction of water used for cooling of marine engines is made, in addition to the environmental impact caused by this polluting waste in the Fund o Island Canal, besides affecting the ecosystem of the region. At first, a small scale prototype1 will be developed for testing and validation of the model. The prototype hull will be built using a CNC2 milling and/or 3D printer3. The main idea of the project is the construction of a fast to build vessel, seamless, powered by solar and wind energy. The solution employed in this project already has other similar models in use. As differential, the aim is to further reduce the costs and improve its construction thereby enabling the rapid replication of the model. As a result, it is expected the construction of a small scale ecological vessel prototype for picking up floating waste automatically with low cost of operation to further remove the floating solid waste that pollute the surface of the Fund o Island Canal and surroundings using the Arduino platform and accessories: shields, solar panels, GPS, stepper motor, servo motors, AC motor, compass, ESC (motor speed regulator), battery, etc. Copyright 2015, Offshore Technology Conference.

关键词： Stepping motors

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Internet of things (IoT) applications study using Big Data and virtualization process technology 8

Internet of things (IoT) applications study using Big Data a...

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14th International Conference on Modeling and Applied Simulation, MAS 2015

作者： Neto, Albino Ribeiro Cunha, Gerson Gomes Landau, Luiz Villarreal, Sergio Poliano Haguenauer, Cristina Jasbinscheck Computational Methods in Engineering Laboratory LAMCE COPPE UFRJ Brazil National Service for Industrial Training SENAI FIRJAN Brazil

ISBN: (纸本)9788897999508

This paper is about the study about the Internet of things (IoT) applications using Big Data (or "data analytics ") and the virtualization process. The Internet of things is at the beginning, but is expected that in the near future will transform the world, creating a giant network of devices and machines globally connected, aggressively increasing communication and data exchange, the IoT is still seen as fiction, but in reality this world already exists through numerous devices present in our daily lives: the "wearables" (term meaning technologies to wear) like tablets, smartphones, smart watches and bracelets. With the use of IoT comes the solution of various problems, but through this intense communication another problem is created, the huge volume of collected data. This problem is being solved by Big Data, that handles structured and unstructured data.

关键词： Internet of things

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The overlapping burden of the three leading causes of disability and death in sub-Saharan African children

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Nature Communications 2022年第1期13卷 1-14页

作者： Reiner, Robert C. Welgan, Catherine A. Troeger, Christopher E. Baumann, Mathew M. Weiss, Daniel J. Deshpande, Aniruddha Blacker, Brigette F. Miller-Petrie, Molly K. Earl, Lucas Bhatt, Samir Abolhassani, Hassan Abosetugn, Akine Eshete Abu-Gharbieh, Eman Adekanmbi, Victor Adetokunboh, Olatunji O. Aghaali, Mohammad Aji, Budi Alahdab, Fares Al-Aly, Ziyad Alhassan, Robert Kaba Ali, Saqib Alizade, Hesam Aljunid, Syed Mohamed Almasi-Hashiani, Amir Al-Mekhlafi, Hesham M. Altirkawi, Khalid A. Alvis-Guzman, Nelson Amare, Azmeraw T. Amini, Saeed Amugsi, Dickson A. Ancuceanu, Robert Andrei, Catalina Liliana Ansari, Fereshteh Anvari, Davood Appiah, Seth Christopher Yaw Arabloo, Jalal Aremu, Olatunde Atout, Maha Moh’d Wahbi Ausloos, Marcel Ausloos, Floriane Ayanore, Martin Amogre Aynalem, Yared Asmare Azene, Zelalem Nigussie Badawi, Alaa Baig, Atif Amin Banach, Maciej Bedi, Neeraj Bhagavathula, Akshaya Srikanth Bhandari, Dinesh Bhardwaj, Nikha Bhardwaj, Pankaj Bhattacharyya, Krittika Bhutta, Zulfiqar A. Bijani, Ali Birhanu, Tesega Tesega Mengistu Bitew, Zebenay Workneh Boloor, Archith Brady, Oliver J. Butt, Zahid A. Car, Josip Carvalho, Felix Casey, Daniel C. Chattu, Vijay Kumar Chowdhury, Mohiuddin Ahsanul Kabir Chu, Dinh-Toi Coelho, Camila H. Cook, Aubrey J. Damiani, Giovanni Daoud, Farah Gela, Jiregna Darega Darwish, Amira Hamed Daryani, Ahmad Das, Jai K. Davis Weaver, Nicole Deribe, Kebede Desalew, Assefa Dharmaratne, Samath Dhamminda Dianatinasab, Mostafa Diaz, Daniel Djalalinia, Shirin Dorostkar, Fariba Dubljanin, Eleonora Duko, Bereket Dwyer-Lindgren, Laura Effiong, Andem El Sayed Zaki, Maysaa El Tantawi, Maha Enany, Shymaa Fattahi, Nazir Feigin, Valery L. Fernandes, Eduarda Ferrara, Pietro Fischer, Florian Foigt, Nataliya A. Folayan, Morenike Oluwatoyin Foroutan, Masoud Frostad, Joseph Jon Fukumoto, Takeshi Gaidhane, Abhay Motiramji Gebrekrstos, Hailemikael Gebrekidan G. K. Gebremeskel, Leake Gebreslassie, Assefa Ayalew Gething, Peter W. Gezae, Kebede Embaye Ghadiri, Keyghobad Ghashghaee, Ahmad Golechha, Mahaveer Gubar Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Malaria Atlas Project University of Oxford Oxford United Kingdom Imperial College London London United Kingdom Department of Laboratory Medicine Karolinska University Hospital Huddinge Sweden Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Public Health Debre Berhan University Debre Berhan Ethiopia Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Population Health Sciences King’s College London London United Kingdom Centre of Excellence for Epidemiological Modelling and Analysis Stellenbosch University Stellenbosch South Africa Department of Global Health Stellenbosch University Cape Town South Africa Department of Epidemiology and Biostatistics Qom University of Medical Sciences Qom Iran Faculty of Medicine and Public Health Jenderal Soedirman University Purwokerto Indonesia Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center Department of Veterans Affairs St Louis MO United States Institute of Health Research University of Health and Allied Sciences Ho Ghana Department of Information Systems College of Economics and Political Science Sultan Qaboos University Muscat Oman Infectious and Tropical Disease Research Center Hormozgan University of Medical Sciences Bandar Abbas Iran Department of Health Policy and Management Kuwait University Safat Kuwait International Centre for Casemix and Clinical Coding National University of Malaysia Bandar Tun Razak Malaysia Department of Epidemiology Arak University of Medical Sciences Arak Iran Medical Research Center

Despite substantial declines since 2000, lower respiratory infections (LRIs), diarrhoeal diseases, and malaria remain among the leading causes of nonfatal and fatal disease burden for children under 5 years of age (under 5), primarily in sub-Saharan Africa (SSA). The spatial burden of each of these diseases has been estimated subnationally across SSA, yet no prior analyses have examined the pattern of their combined burden. Here we synthesise subnational estimates of the burden of LRIs, diarrhoea, and malaria in children under-5 from 2000 to 2017 for 43 sub-Saharan countries. Some units faced a relatively equal burden from each of the three diseases, while others had one or two dominant sources of unit-level burden, with no consistent pattern geographically across the entire subcontinent. Using a subnational counterfactual analysis, we show that nearly 300 million DALYs could have been averted since 2000 by raising all units to their national average. Our findings are directly relevant for decision-makers in determining which and targeting where the most appropriate interventions are for increasing child survival. © 2022, The Author(s).

关键词： Biogeography Epidemiology Infectious diseases Malaria

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Atomic bound state and scattering properties of effective momentum-dependent potentials

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Physical Review E 2016年第4期94卷 043205-043205页

作者： Gautham Dharuman John Verboncoeur Andrew Christlieb Michael S. Murillo Department of Electrical and Computer Engineering Michigan State University East Lansing Michigan 48824 USA Department of Computational Mathematics Science and Engineering Michigan State University East Lansing Michigan 48824 USA Department of Mathematics Michigan State University East Lansing Michigan 48824 USA New Mexico Consortium Los Alamos New Mexico 87544 USA Computational Physics and Methods Group Los Alamos National Laboratory Los Alamos New Mexico 87544 USA

Effective classical dynamics provide a potentially powerful avenue for modeling large-scale dynamical quantum systems. We have examined the accuracy of a Hamiltonian-based approach that employs effective momentum-dependent potentials (MDPs) within a molecular-dynamics framework through studies of atomic ground states, excited states, ionization energies, and scattering properties of continuum states. Working exclusively with the Kirschbaum-Wilets (KW) formulation with empirical MDPs [C. L. Kirschbaum and L. Wilets, Phys. Rev. A 21, 834 (1980)], optimization leads to very accurate ground-state energies for several elements (e.g., N, F, Ne, Al, S, Ar, and Ca) relative to Hartree-Fock values. The KW MDP parameters obtained are found to be correlated, thereby revealing some degree of transferability in the empirically determined parameters. We have studied excited-state orbits of electron-ion pair to analyze the consequences of the MDP on the classical Coulomb catastrophe. From the optimized ground-state energies, we find that the experimental first- and second-ionization energies are fairly well predicted. Finally, electron-ion scattering was examined by comparing the predicted momentum transfer cross section to a semiclassical phase-shift calculation; optimizing the MDP parameters for the scattering process yielded rather poor results, suggesting a limitation of the use of the KW MDPs for plasmas.

关键词： Molecular dynamics

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