Search results for "RAM"

showing 10 items of 35643 documents

CCDC 1912382: Experimental Crystal Structure Determination

2019

Related Article: Javier Pitarch-Jarque, Kari Rissanen, Santiago García-Granda, Alberto Lopera, M. Paz Clares, Enrique García-España, Salvador Blasco|2019|New J.Chem.|43|18915|doi:10.1039/C9NJ05231C

61H161H251H-1481114182326-octaza-61625(35)-tripyrazolabicyclo[9.9.9]nonacosaphan-462814162182325227-nonaium (hydrogen sulfate) clathrate bis(hydrogen sulfate) trisulfate hexahydrateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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From Feynman–Kac formulae to numerical stochastic homogenization in electrical impedance tomography

2016

In this paper, we use the theory of symmetric Dirichlet forms to derive Feynman–Kac formulae for the forward problem of electrical impedance tomography with possibly anisotropic, merely measurable conductivities corresponding to different electrode models on bounded Lipschitz domains. Subsequently, we employ these Feynman–Kac formulae to rigorously justify stochastic homogenization in the case of a stochastic boundary value problem arising from an inverse anomaly detection problem. Motivated by this theoretical result, we prove an estimate for the speed of convergence of the projected mean-square displacement of the underlying process which may serve as the theoretical foundation for the de…

65C05Statistics and Probability65N21stochastic homogenizationquantitative convergence result01 natural sciencesHomogenization (chemistry)78M40general reflecting diffusion process010104 statistics & probabilitysymbols.namesakeFeynman–Kac formula60J4535Q60Applied mathematicsFeynman diagramBoundary value problemSkorohod decomposition0101 mathematicsElectrical impedance tomographyBrownian motionMathematicsrandom conductivity field65N75010102 general mathematicsFeynman–Kac formulaLipschitz continuityBounded functionstochastic forward problemsymbols60J55Statistics Probability and Uncertainty60H30electrical impedance tomographyThe Annals of Applied Probability
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CCDC 262065: Experimental Crystal Structure Determination

2006

Related Article: G.Stajer, A.E.Szabo, G.Turos, P.Sohar, R.Sillanpaa|2005|Eur.J.Org.Chem.|2005|4154|doi:10.1002/ejoc.200500155

710-Methano-1233a6ar7c8910c10ac-decahydroindolo[17a7-ab]quinoline-511-dioneSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 2016986: Experimental Crystal Structure Determination

2020

Related Article: Hideki Hayashi, Joshua E. Barker, Abel Cárdenas Valdivia, Ryohei Kishi, Samantha N. MacMillan, Carlos J. Gómez-García, Hidenori Miyauchi, Yosuke Nakamura, Masayoshi Nakano, Shin-ichiro Kato, Michael M. Haley, Juan Casado|2020|J.Am.Chem.Soc.|142|20444|doi:10.1021/jacs.0c09588

714-bis(4-t-butyl-26-dimethylphenyl)fluoreno[32-b]fluoreneSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1910052: Experimental Crystal Structure Determination

2019

Related Article: Flavien Ponsot, Léo Bucher, Nicolas Desbois, Yoann Rousselin, Pritam Mondal, Charles H. Devillers, Anthony Romieu, Claude P. Gros, Rahul Singhal, Ganesh D. Sharma|2019|J.Mater.Chem.C|7|9655|doi:10.1039/C9TC02724F

717-dibromo-5-methoxy-221212-tetramethyl-231213-tetrahydroporphyrinSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Learning automata based energy-efficient AI hardware design for IoT applications

2020

Energy efficiency continues to be the core design challenge for artificial intelligence (AI) hardware designers. In this paper, we propose a new AI hardware architecture targeting Internet of Things applications. The architecture is founded on the principle of learning automata, defined using propositional logic. The logic-based underpinning enables low-energy footprints as well as high learning accuracy during training and inference, which are crucial requirements for efficient AI with long operating life. We present the first insights into this new architecture in the form of a custom-designed integrated circuit for pervasive applications. Fundamental to this circuit is systematic encodin…

7621003Computer scienceGeneral MathematicsDesign flow1006General Physics and Astronomy02 engineering and technologySoftwareRobustness (computer science)0202 electrical engineering electronic engineering information engineeringField-programmable gate arrayenergy efficiencyHardware architectureArtificial neural networkLearning automata52business.industryTsetlin machines020208 electrical & electronic engineeringGeneral Engineeringartificial intelligence hardware designArticlesneural networksAutomation020202 computer hardware & architecturebusinessComputer hardwareResearch ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences
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CCDC 177547: Experimental Crystal Structure Determination

2003

Related Article: R.K.O.Sigel, E.Freisinger, M.Abbate, B.Lippert|2002|Inorg.Chim.Acta|339|355|doi:10.1016/S0020-1693(02)00962-3

79-Dimethylguaninium perchlorate hemihydrateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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In Vivo Reprogramming for Brain and Spinal Cord Repair.

2015

AbstractCell reprogramming technologies have enabled the generation of various specific cell types including neurons from readily accessible patient cells, such as skin fibroblasts, providing an intriguing novel cell source for autologous cell transplantation. However, cell transplantation faces several difficult hurdles such as cell production and purification, long-term survival, and functional integration after transplantation. Recently,in vivoreprogramming, which makes use of endogenous cells for regeneration purpose, emerged as a new approach to circumvent cell transplantation. There has been evidence forin vivoreprogramming in the mouse pancreas, heart, and brain and spinal cord with …

7NeurogenesisCellReviewBiologyNovel Tools and Methods03 medical and health sciences0302 clinical medicineastrocytemedicineAnimalsHumansCellular Reprogramming Techniques030304 developmental biologyNeurons0303 health sciencesCellular Reprogramming TechniquesGeneral NeuroscienceRegeneration (biology)brain repairNeurogenesisBrainreprogrammingGeneral MedicineCongresses as TopicCellular ReprogrammingneuronNerve RegenerationTransplantationin vivomedicine.anatomical_structureSpinal CordDistrict of ColumbiaNG2 cellNeuronReprogrammingNeuroscience030217 neurology & neurosurgeryAstrocyteeNeuro
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CCDC 844439: Experimental Crystal Structure Determination

2013

Related Article: A.Fernandez-Mato,M.D.Garcia,C.Peinador,J.M.Quintela,M.Sanchez-Andujar,B.Pato-Doldan,M.A.Senaris-Rodriguez,D.Tordera,H.J.Bolink|2013|Cryst.Growth Des.|13|460|doi:10.1021/cg301656x

7-(34-Dimethoxyphenyl)-2-ethoxy-4-phenyl-18-naphthyridine-3-carbonitrileSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 2026029: Experimental Crystal Structure Determination

2020

Related Article: Carmen Ramírez de Arellano, Rosa Adam, Rafael Ballesteros-Garrido, Belen Abarca, Rafael Ballesteros, Ibon Alcorta, José Elguero, Emilio Escrivà|2020|CrystEngComm|22|6979|doi:10.1039/D0CE01272F

7-(5-bromopyrimidin-4-yl)-3-methyl[123]triazolo[15-a]pyridineSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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