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arXiv 2023年

作者： Ayzenberg, Dimitry Blackburn, Lindy Brito, Richard Britzen, Silke Broderick, Avery E. Carballo-Rubio, Raúl Cardoso, Vitor Chael, Andrew Chatterjee, Koushik Chen, Yifan Cunha, Pedro V.P. Davoudiasl, Hooman Denton, Peter B. Doeleman, Sheperd S. Eichhorn, Astrid Eubanks, Marshall Fang, Yun Foschi, Arianna Fromm, Christian M. Galison, Peter Ghosh, Sushant G. Gold, Roman Gurvits, Leonid I. Hadar, Shahar Held, Aaron Houston, Janice Hu, Yichao Johnson, Michael D. Kocherlakota, Prashant Natarajan, Priyamvada Olivares, Héctor Palumbo, Daniel Pesce, Dominic W. Rajendran, Surjeet Roy, Rittick Saurabh Shao, Lijing Tahura, Shammi Tamar, Aditya Tiede, Paul Vincent, Frédéric H. Visinelli, Luca Wang, Zhiren Wielgus, Maciek Xue, Xiao Yakut, Kadri Yang, Huan Younsi, Ziri Theoretical Astrophysics Eberhard-Karls Universität Tübingen TübingenD-72076 Germany Center for Astrophysics Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States Harvard University 20 Garden Street CambridgeMA02138 United States CENTRA Departamento de Física Instituto Superior Técnico – IST Universidade de Lisboa – UL Avenida Rovisco Pais 1 Lisboa1049-001 Portugal Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Perimeter Institute for Theoretical Physics 31 Caroline Street North WaterlooONN2L 2Y5 Canada Department of Physics and Astronomy University of Waterloo 200 University Avenue West WaterlooONN2L 3G1 Canada Waterloo Centre for Astrophysics University of Waterloo WaterlooONN2L 3G1 Canada CP3-Origins University of Southern Denmark Campusvej 55 Odense MDK-5230 Denmark Florida Space Institute University of Central Florida 12354 Research Parkway Partnership 1 OrlandoFL32826 United States Niels Bohr International Academy Niels Bohr Institute Blegdamsvej 17 Copenhagen2100 Denmark Princeton Gravity Initiative Jadwin Hall Princeton University PrincetonNJ08544 United States Department of Physics University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Harvard-Smithsonian Center for Astrophysics 60 Garden Street CambridgeMA02138 United States Campus de Santiago Aveiro3810-183 Portugal High Energy Theory Group Physics Department Brookhaven National Laboratory UptonNY11973 United States Asteroid Initiatives LLC United States Perimeter Institute for Theoretical Physics WaterlooONN2L2Y5 Canada Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China Institut für Theoretische Physik und Astrophysik Universität Würzburg Emil-Fischer-Strasse 31 Würzburg97074 Germany Institut für Theoretische Physik Goethe Universität Frankfurt Max-von

The Event Horizon Telescope (EHT) Collaboration recently published the first images of the supermassive black holes in the cores of the Messier 87 and Milky Way galaxies. These observations have provided a new means to study supermassive black holes and probe physical processes occurring in the strong-field regime. We review the prospects of future observations and theoretical studies of supermassive black hole systems with the next-generation Event Horizon Telescope (ngEHT), which will greatly enhance the capabilities of the existing EHT array. These enhancements will open up several previously inaccessible avenues of investigation, thereby providing important new insights into the properties of supermassive black holes and their environments. This review describes the current state of knowledge for five key science cases, summarising the unique challenges and opportunities for fundamental physics investigations that the ngEHT will enable. Copyright © 2023, The Authors. All rights reserved.

关键词： Telescopes

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NEID Rossiter-McLaughlin Measurement of TOI-1268b: A Young Warm Saturn Aligned with Its Cool Host Star

arXiv

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arXiv 2022年

作者： Dong, Jiayin Huang, Chelsea X. Zhou, George Dawson, Rebekah I. Stefánsson, Gudmundur K. Bender, Chad F. Blake, Cullen H. Ford, Eric B. Halverson, Samuel Kanodia, Shubham Mahadevan, Suvrath McElwain, Michael W. Ninan, Joe P. Robertson, Paul Arpita, R.O.Y. Schwab, Christian Stevens, Daniel J. Terrien, Ryan C. Vanderburg, Andrew Kraus, Adam L. Douglas, Stephanie Newton, Elisabeth Rampalli, Rayna Krolikowski, Daniel M. Collins, Karen A. Rodriguez, Joseph E. Feliz, Dax L. Srdoc, Gregor Ziegler, Carl Barkaoui, Khalid Pozuelos, Francisco J. Jehin, Emmanuel Michaël, C. Benkhaldoun, Zouhair Lewin, Pablo Forés-Toribio, Raquel Muñoz, Jose A. McLeod, Kim K. Özyurt, Fiona Powers Horta, Ferran Grau Murgas, Felipe Latham, David W. Quinn, Samuel N. Bieryla, Allyson Howell, Steve B. Gnilka, Crystal L. Ciardi, David R. Lund, Michael B. Dressing, Courtney D. Giacalone, Steven Savel, Arjun B. Strakhov, Ivan A. Belinski, Alexander A. Ricker, George R. Seager, S. Winn, Joshua N. Jenkins, Jon M. Torres, Guillermo Paegert, Martin Department of Astronomy & Astrophysics 525 Davey Laboratory The Pennsylvania State University University ParkPA16802 United States Center for Exoplanets and Habitable Worlds 525 Davey Laboratory The Pennsylvania State University University ParkPA16802 United States University of Southern Queensland Centre for Astrophysics West Street ToowoombaQLD4350 Australia Department of Physics Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology CambridgeMA02139 United States Institute for Computational and Data Sciences The Pennsylvania State University University ParkPA16802 United States Center for Astrostatistics 525 Davey Laboratory The Pennsylvania State University University ParkPA16802 United States Department of Astrophysical Sciences Princeton University 4 Ivy Lane Princeton NJ08540 United States Steward Observatory The University of Arizona 933 N. Cherry Ave TucsonAZ85721 United States Department of Physics and Astronomy University of Pennsylvania 209 S 33rd St PhiladelphiaPA19104 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA91109 United States Penn State Extraterrestrial Intelligence Center 525 Davey Laboratory The Pennsylvania State University University ParkPA16802 United States Exoplanets and Stellar Astrophysics Laboratory NASA Goddard Space Flight Center GreenbeltMD20771 United States Department of Physics & Astronomy The University of California Irvine IrvineCA92697 United States Space Telescope Science Institute 3700 San Martin Dr BaltimoreMD21218 United States Department of Physics and Astronomy Johns Hopkins University 3400 N Charles St BaltimoreMD21218 United States Department of Physics and Astronomy Macquarie University Balaclava Road North RydeNSW2109 Australia Carleton College One North College St. NorthfieldMN55057 United States Department of Astronomy The University of Texas at Austin AustinTX78712 U

Close-in gas giants present a surprising range of stellar obliquity, the angle between a planet's orbital axis and its host star's spin axis. It is unclear whether the obliquities reflect the planets' dynamical history (e.g., aligned for in situ formation or disk migration versus misaligned for high-eccentricity tidal migration) or whether other mechanisms (e.g., primordial misalignment or planet-star interactions) are more important in sculpting the obliquity distribution. Here we present the stellar obliquity measurement of TOI-1268 (TIC-142394656, Vmag∼10.9), a young K-type dwarf hosting an 8.2-day period, Saturn-sized planet. TOI-1268's lithium abundance and rotation period suggest the system age between the ages of Pleiades cluster (∼120 Myr) and Prasepe cluster (∼670 Myr). Using the newly commissioned NEID spectrograph, we constrain the stellar obliquity of TOI-1268 via the Rossiter-McLaughlin (RM) effect from both radial velocity (RV) and Doppler Tomography (DT) signals. The 3σ upper bounds of the projected stellar obliquity |λ| from both models are below 60◦. The large host star separation (a/R*∼17), combined with the system's young age, makes it unlikely that the planet has realigned its host star. The stellar obliquity measurement of TOI-1268 probes the architecture of a young gas giant beyond the reach of tidal realignment (a/R* 10) and reveals an aligned or slightly misaligned system. Copyright © 2022, The Authors. All rights reserved.

关键词： Extrasolar planets

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APOGEE-centric Ananke Simulations in a SciServer SQL database

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Research Notes of the AAS 2022年第6期6卷 125-125页

作者： Rachael L. Beaton Suzanne Werner Arik W. Mitschang Gerard Lemson Aniruddha Thakar Anne-Marie Weijmans Joel R. Brownstein Farnik Nikakhtar Robyn E. Sanderson Andrew Wetzel Sarah Loebman Sanjib Sharma Space Telescope Science Institute 3700 San Martin Drive Baltimore MD 21218 USA rbeaton@princeton.edu Department of Astrophysical Sciences Princeton University 4 Ivy Lane Princeton NJ 08544 USA The Observatories of the Carnegie Institution for Science 813 Santa Barbara St. Pasadena CA 91101 USA Institute For Data Intensive Engineering and Science Johns Hopkins University. 3701 San Martin Drive Baltimore MD 21218 USA Center for Astrophysical Sciences Department of Physics and Astronomy Johns Hopkins University 3400 North Charles Street Baltimore MD 21218 USA School of Physics and Astronomy University of St Andrews North Haugh St Andrews KY16 9SS UK Department of Physics and Astronomy University of Utah 115 S. 1400 E. Salt Lake City UT 84112 USA Department of Physics & Astronomy University of Pennsylvania 209 S 33rd St. Philadelphia PA 19104 USA Center for Computational Astrophysics Flatiron Institute 162 5th Ave New York NY 10010 USA Department of Physics & Astronomy University of California Davis CA 95616 USA Department of Physics University of California Merced 5200 North Lake Rd. Merced CA 95343 USA Sydney Institute for Astronomy School of Physics A28 The University of Sydney NSW 2006 Australia Center of Excellence for Astrophysics in Three Dimensions (ASTRO-3D) Australia

Modern galaxy simulations have reached the complexity required to create sophisticated mock catalogs. Ananke is a set of nine mock catalogs constructed from synthetic surveys of three Milky Way-like galaxies from the Latte suite of FIRE simulations. Ananke provides observed quantities for comparison with modern large-scale stellar surveys. In SDSS-IV DR17, mock catalogs for the Apache Point Galactic Evolution Experiment (APOGEE) were built from Ananke synthetic surveys as a Value-Added Catalog, but were only provided as large flat files (∼>10's GB). Here we announce an >40 Tb SQL database for nine APOGEE-specific mock catalogs and describe additions to the data model necessary for effective user queries. The catalogs can be accessed on the free, science platform, SciServer—supported by the Institute for data Intensive engineering and science at the Johns Hopkins University (IDIES); SciServer supports server-side analysis with commonly used coding languages and tools.

关键词： Catalogs Milky Way Galaxy Surveys Redshift surveys Astronomy databases

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Analysis and computation of some tumor growth models with nutrient: From cell density models to free boundary dynamics

arXiv

引用

arXiv 2018年

作者： Liu, Jian-Guo Tang, Min Wang, Li Zhou, Zhennan Department of Mathematics Department of Physics Duke University School of Mathematics and Institute of Natural Sciences MOE-LSC Shanghai JiaoTong University Department of Mathematics Computational and Data-Enabled Science and Engineering Program State University of New York Buffalo United States Beijing International Center for Mathematical Research Peking University

In this paper, we study the tumor growth equation along with various models for the nutrient component, including the in vitro model and the in vivo model. At the cell density level, the spatial availability of the tumor density n is governed by the Darcy law via the pressure p\(n\) = nγ. For finite γ, we prove some a priori estimates of the tumor growth model, such as boundedness of the nutrient density, and non-negativity and growth estimate of the tumor density. As γ → ∞, the cell density models formally converge to Hele-Shaw flow models, which determine the free boundary dynamics of the tumor tissue in the incompressible limit. We derive several analytical solutions to the Hele-Shaw flow models, which serve as benchmark solutions to the geometric motion of tumor front propagation. Finally, we apply a conservative and positivity preserving numerical scheme to the cell density models, with numerical results verifying the link between cell density models and the free boundary dynamical *** Codes 35K55, 35B25, 76D27, 92C50 Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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SPT clusters with DES and HST weak lensing. II. Cosmological constraints from the abundance of massive halos

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Physical Review D 2024年第8期110卷 083510页

作者： S. Bocquet S. Grandis L. E. Bleem M. Klein J. J. Mohr T. Schrabback T. M. C. Abbott P. A. R. Ade M. Aguena A. Alarcon S. Allam S. W. Allen O. Alves A. Amon A. J. Anderson J. Annis B. Ansarinejad J. E. Austermann S. Avila D. Bacon M. Bayliss J. A. Beall K. Bechtol M. R. Becker A. N. Bender B. A. Benson G. M. Bernstein S. Bhargava F. Bianchini M. Brodwin D. Brooks L. Bryant A. Campos R. E. A. Canning J. E. Carlstrom A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. L. Chang C. Chang P. Chaubal R. Chen H. C. Chiang A. Choi T-L. Chou R. Citron C. Corbett Moran J. Cordero M. Costanzi T. M. Crawford A. T. Crites L. N. da Costa M. E. S. Pereira C. Davis T. M. Davis J. DeRose S. Desai T. de Haan H. T. Diehl M. A. Dobbs S. Dodelson C. Doux A. Drlica-Wagner K. Eckert J. Elvin-Poole S. Everett W. Everett I. Ferrero A. Ferté A. M. Flores J. Frieman J. Gallicchio J. García-Bellido M. Gatti E. M. George G. Giannini M. D. Gladders D. Gruen R. A. Gruendl N. Gupta G. Gutierrez N. W. Halverson I. Harrison W. G. Hartley K. Herner S. R. Hinton G. P. Holder D. L. Hollowood W. L. Holzapfel K. Honscheid J. D. Hrubes N. Huang J. Hubmayr E. M. Huff D. Huterer K. D. Irwin D. J. James M. Jarvis G. Khullar K. Kim L. Knox R. Kraft E. Krause K. Kuehn N. Kuropatkin F. Kéruzoré O. Lahav A. T. Lee P.-F. Leget D. Li H. Lin A. Lowitz N. MacCrann G. Mahler A. Mantz J. L. Marshall J. McCullough M. McDonald J. J. McMahon J. Mena-Fernández F. Menanteau S. S. Meyer R. Miquel J. Montgomery J. Myles T. Natoli A. Navarro-Alsina J. P. Nibarger G. I. Noble V. Novosad R. L. C. Ogando Y. Omori S. Padin S. Pandey P. Paschos S. Patil A. Pieres A. A. Plazas Malagón A. Porredon J. Prat C. Pryke M. Raveri C. L. Reichardt J. Roberson R. P. Rollins C. Romero A. Roodman J. E. Ruhl E. S. Rykoff B. R. Saliwanchik L. Salvati C. Sánchez E. Sanchez D. Sanchez Cid A. Saro K. K. Schaffer L. F. Secco I. Sevilla-Noarbe K. Sharon E. Sheldon T. Shin C. Sievers G. Smecher M. Smith T. Somboonpanyakul M. Sommer B. Stalder A. A. Stark J. Stephen V. Straz University Observatory Faculty of Physics Universität Innsbruck Institut für Astro- und Teilchenphysik Technikerstraße 25/8 6020 Innsbruck Austria High-Energy Physics Division Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Kavli Institute for Cosmological Physics University of Chicago 5640 South Ellis Avenue Chicago Illinois 60637 USA Max Planck Institute for Extraterrestrial Physics Gießenbachstraße 1 85748 Garching Germany Argelander-Institut für Astronomie Auf dem Hügel 71 53121 Bonn Germany Cerro Tololo Inter-American Observatory NSF’s National Optical-Infrared Astronomy Research Laboratory Casilla 603 La Serena Chile School of Physics and Astronomy Cardiff University Cardiff CF24 3YB United Kingdom Laboratório Interinstitucional de e-Astronomia—LIneA Rua Gal. José Cristino 77 Rio de Janeiro Rio de Janeiro—20921-400 Brazil Fermi National Accelerator Laboratory P. O. Box 500 Batavia Illinois 60510 USA Kavli Institute for Particle Astrophysics and Cosmology Stanford University 452 Lomita Mall Stanford California 94305 USA Department of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 USA SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo Park California 94025 USA Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Institute of Astronomy University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom School of Physics University of Melbourne Parkville Victoria 3010 Australia NIST Quantum Devices Group 325 Broadway Mailcode 817.03 Boulder Colorado 80305 USA Department of Physics University of Colorado Boulder Colorado 80309 USA Institut de Física d’Altes Energies (IFAE) The Barcelona Institute of Science and Technology Campus UAB 08193 Bellaterra (Barcelona) Spain Institute of Cosmology and Gravitation University of Portsmouth Portsmouth

We present cosmological constraints from the abundance of galaxy clusters selected via the thermal Sunyaev-Zel’dovich (SZ) effect in South Pole Telescope (SPT) data with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). The cluster sample is constructed from the combined SPT-SZ, SPTpol ECS, and SPTpol 500d surveys, and comprises 1,005 confirmed clusters in the redshift range 0.25–1.78 over a total sky area of 5200 deg2. We use DES Year 3 weak-lensing data for 688 clusters with redshifts z<0.95 and HST weak-lensing data for 39 clusters with 0.6dataset, we place a 95% upper limit on the sum of neutrino masses ∑mν<0.18 eV. When additionally allowing the dark energy equation of state parameter w to vary, we obtain w=−1.45±0.31 from our cluster-based analysis. In combination with Planck data, we measure w=−1.34−0.15+0.22, or a 2.2σ difference with a cosmological constant. We use the cluster abundance to measure σ8 in five redshift bins between 0.25 and 1.8, and we find the results to be consistent with structure growth as predicted by the ΛCDM model fit to Planck primary CMB data.

关键词： Cosmological parameters Dark energy Large scale structure of the Universe Galaxy clusters

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Skin health and biological aging

Nature aging

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Nature aging 2025年 2025 Jun 17页

作者： David Furman Johan Auwerx Anne-Laure Bulteau George Church Virginie Couturaud Laure Crabbe Kelvin J A Davies Anabelle Decottignies Vadim N Gladyshev Brian K Kennedy Nicola Neretti Carine Nizard Karl Pays Daisy Robinton Vittorio Sebastiano Rachel E B Watson Meng C Wang Knut Woltjen Stanford 1000 Immunomes Project Stanford School of Medicine Stanford CA USA. dfurman@***. Buck Bioinformatics and Data Science Platform Buck Institute for Research on Aging Novato CA USA. dfurman@***. IIMT Universidad Austral Consejo Nacional de Investigaciones Científicas y Técnicas Pilar Argentina. dfurman@***. Reverse Aging Board Parfums Christian Dior Neuilly-sur-Seine France. dfurman@***. Reverse Aging Board Parfums Christian Dior Neuilly-sur-Seine France. Laboratory of Integrative Systems Physiology École Polytechnique Fédérale de Lausanne Lausanne Switzerland. LVMH Recherche Saint Jean de Braye France. Wyss Institute for Biologically Inspired Engineering Boston MA USA. Department of Genetics Harvard Medical School Boston MA USA. Department of Scientific Communication Parfum Christian Dior Neuilly sur Seine France. Leonard Davis School of Gerontology and Division of Molecular & Computational Biology Department of Biological Sciences of the College of Letters Arts & Sciences University of Southern California Los Angeles CA USA. Department of Biochemistry & Molecular Medicine of the Keck School of Medicine of USC University of Southern California Los Angeles CA USA. Université Catholique de Louvain de Duve Institute Louvain-la-Neuve Belgium. Division of Genetics Department of Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA. Healthy Longevity Translational Research Programme Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore. Centre for Healthy Longevity National University Health System Singapore Singapore. Department of Molecular Biology Cell Biology and Biochemistry Brown University Providence RI USA. Oviva Therapeutics Brooklyn NY USA. Institute for Stem Cell Biology and Regenerative Medicine Stanford School of Medicine Stanford CA USA. A*STAR Skin Research Labs (A*SRL) Agency for Science Technology and Research (A*STAR) National Skin Centre & Skin Research Institute of

Accumulating evidence indicates that biological aging can be accelerated by environmental exposures, collectively called the 'exposome'. The skin, as the largest and most exposed organ, can be viewed as a 'window' for the deep exploration of the exposome and its effects on systemic aging. The complex interplay across hallmarks of aging in the skin and systemic biological aging suggests that physiological processes associated with skin aging influence, and are influenced by, systemic hallmarks of aging. This bidirectional relationship provides potential avenues for the prevention of accelerated biological aging and the identification of therapeutic targets. We provide a review of the interactions between skin exposure, aging hallmarks in the skin and associated systemic changes, and their implications in treatment and disease. We also discuss key questions that need to be addressed to maintain skin and overall health, highlighting the need for the development of precise biomarkers and advanced skin models.

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Author Correction: Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition

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Nature genetics 2023年第6期55卷 1080页

作者： Bernardo Rodriguez-Martin Eva G Alvarez Adrian Baez-Ortega Jorge Zamora Fran Supek Jonas Demeulemeester Martin Santamarina Young Seok Ju Javier Temes Daniel Garcia-Souto Harald Detering Yilong Li Jorge Rodriguez-Castro Ana Dueso-Barroso Alicia L Bruzos Stefan C Dentro Miguel G Blanco Gianmarco Contino Daniel Ardeljan Marta Tojo Nicola D Roberts Sonia Zumalave Paul A Edwards Joachim Weischenfeldt Montserrat Puiggròs Zechen Chong Ken Chen Eunjung Alice Lee Jeremiah A Wala Keiran M Raine Adam Butler Sebastian M Waszak Fabio C P Navarro Steven E Schumacher Jean Monlong Francesco Maura Niccolo Bolli Guillaume Bourque Mark Gerstein Peter J Park David C Wedge Rameen Beroukhim David Torrents Jan O Korbel Iñigo Martincorena Rebecca C Fitzgerald Peter Van Loo Haig H Kazazian Kathleen H Burns Peter J Campbell Jose M C Tubio Department of Zoology Genetics and Physical Anthropology Universidade de Santiago de Compostela Santiago de Compostela Spain. Biomedical Research Centre (CINBIO) University of Vigo Vigo Spain. Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain. Transmissible Cancer Group Department of Veterinary Medicine University of Cambridge Cambridge UK. The Biomedical Research Centre (CINBIO) Universidade de Vigo Vigo Spain. Wellcome Sanger Institute Wellcome Genome Campus Cambridge UK. Genome Data Science Institute for Research in Biomedicine (IRB Barcelona) The Barcelona Institute of Science and Technology (BIST) Barcelona Spain. Institucio Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain. The Francis Crick Institute London UK. Department of Human Genetics University of Leuven Leuven Belgium. Genomes and Disease Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain. Graduate School of Medical Science and Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea. Cancer Ageing and Somatic Mutation Programme Wellcome Sanger Institute Cambridge UK. Department of Biochemistry Genetics and Immunology University of Vigo Vigo Spain. Galicia Sur Health Research Institute Vigo Spain. Faculty of Science and Technology University of Vic-Central University of Catalonia (UVic-UCC) Vic Spain. Barcelona Supercomputing Center (BSC) Barcelona Spain. Experimental Cancer Genetics Wellcome Sanger Institute Cambridge UK. Oxford Big Data Institute University of Oxford Oxford UK. DNA Repair and Genome Integrity Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain. Department of Biochemistry and Molecular Biology Universidade de Santiago de Compostela Santiago de Compostela Spain. Medical R

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End-to-end symmetry preserving inter-atomic potential energy model for finite and extended systems

arXiv

引用

arXiv 2018年

作者： Zhang, Linfeng Han, Jiequn Wang, Han Saidi, Wissam A. Car, Roberto Weinan, E. Program in Applied and Computational Mathematics Princeton University United States Institute of Applied Physics and Computational Mathematics China CAEP Software Center for High Performance Numerical Simulation China Department of Mechanical Engineering and Materials Science University of Pittsburgh United States Department of Chemistry and Department of Physics Princeton University United States Princeton Institute for the Science and Technology of Materials Princeton University United States Department of Mathematics Princeton University United States Beijing Institute of Big Data Research China

Machine learning models are changing the paradigm of molecular modeling, which is a fundamental tool for material science, chemistry, and computational biology. Of particular interest is the inter-atomic potential energy surface (PES). Here we develop Deep Potential - Smooth Edition (DeepPot-SE), an end-to-end machine learning-based PES model, which is able to efficiently represent the PES of a wide variety of systems with the accuracy of ab initio quantum mechanics models. By construction, DeepPot-SE is extensive and continuously differentiable, scales linearly with system size, and preserves all the natural symmetries of the system. Further, we show that DeepPot-SE describes finite and extended systems including organic molecules, metals, semiconductors, and insulators with high fidelity. Copyright © 2018, The Authors. All rights reserved.

关键词： Potential energy

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A smart adaptive LSTM technique for electrical load forecasting at source

A smart adaptive LSTM technique for electrical load forecast...

引用

IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

作者： Harsha M Sri Pradyoth Rao Prajwal K Kammardi Sneha S Shekar Sheela Kathavate K H Gowranga Department of Computer Science & Engineering M.V.I.T Department of Computational and Data Sciences

Electrical load forecasting has never been more critical, given its high influence on the operational efficiency of the power supply system. Accurate prediction helps in making decisions and has a huge impact on the revenue of the suppliers. However, the prediction is not trivial and has several hurdles such as the nonlinear property of the time series or the seasonality pattern that generally inherently exists in a time series problem. Several techniques have been proposed to solve this problem such as statistical models, fuzzy systems, artificial neural networks (ANNs) and machine learning. This paper aims to present a comparison between popular techniques used in this problem domain with a few novel techniques that predict the electrical load at source. Several characteristics of the time series have been analyzed in depth. All the models proposed here have been compared rigorously through several objective functions. The results show that the models proposed here outperforms several statistical and machine learning techniques that are used conventionally.

关键词： Support vector machines Load forecasting Time series analysis Load modeling Forecasting Linear regression Machine learning

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Modeling laser attenuation in reacting flows using adaptive finite elements 55

Modeling laser attenuation in reacting flows using adaptive ...

引用

55th AIAA Aerospace sciences Meeting

作者： Bauman, Paul T. Adowski, Timothy R. Department of Mechanical and Aerospace Engineering Computational and Data-Enabled Science and Engineering University at Buffalo State University of New York BuffaloNY14260-4400 United States Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York BuffaloNY14260-4400 United States

ISBN: (数字)9781624104473

ISBN: (纸本)9781624104473

In this work, we demonstrate the use of adaptive finite element analysis in low speed chemically reacting flows to compute the attenuation of laser intensity through an arbitrary path in the domain. We use adjoint-based error estimates to estimate the error in the computed intensity and drive adaptive mesh refinement. We discuss details of the implementation with the GRINS multiphysics framework, built on the libMesh finite element library. We present an example illustrating the adjoint solution and resulting adapted mesh for a laser attenuation quantity-of-interest in a two-dimensional reacting flow with heterogeneous carbon surface chemistry. © 2017 by Paul T. Bauman.

关键词： Chemically Reacting Flow Diode Lasers Adaptive Mesh Refinement Finite Element Formulation Doppler Broadening Beer Lambert Law Computing Thermal Boundary Condition Navier Stokes Equations Mathematical Models

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