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Book: Fundamentals of applied electromagnetics

Ulaby, Fawwaz T / Ravaioli, Umberto

2015

Author's details	Fawwaz T. Ulaby; Umberto Ravaioli
Language	English
Size	528 S., Ill., graph. Darst
Edition	7th ed., global ed.
Publisher	Pearson
Publishing place	Boston u.a.
Document type	Book
Note	Literaturverz. S. [513 - 514]
ISBN	9781292082448 ; 1292082445
Database	Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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Book ; Online: Prediction and optimization of mechanical properties of composites using convolutional neural networks

Abueidda, Diab W. / Almasri, Mohammad / Ammourah, Rami / Ravaioli, Umberto / Jasiuk, Iwona M. / Sobh, Nahil A.

2019

Abstract: In this paper, we develop a convolutional neural network model to predict the mechanical properties of a two-dimensional checkerboard composite quantitatively. The checkerboard composite possesses two phases, one phase is soft and ductile while the other ...

Abstract	In this paper, we develop a convolutional neural network model to predict the mechanical properties of a two-dimensional checkerboard composite quantitatively. The checkerboard composite possesses two phases, one phase is soft and ductile while the other is stiff and brittle. The ground-truth data used in the training process are obtained from finite element analyses under the assumption of plane stress. Monte Carlo simulations and central limit theorem are used to find the size of the dataset needed. Once the training process is completed, the developed model is validated using data unseen during training. The developed neural network model captures the stiffness, strength, and toughness of checkerboard composites with high accuracy. Also, we integrate the developed model with a genetic algorithm (GA) optimizer to identify the optimal microstructural designs. The genetic algorithm optimizer adopted here has several operators, selection, crossover, mutation, and elitism. The optimizer converges to configurations with highly enhanced properties. For the case of the modulus and starting from randomly-initialized generation, the GA optimizer converges to the global maximum which involves no soft elements. Also, the GA optimizers, when used to maximize strength and toughness, tend towards having soft elements in the region next to the crack tip.
Keywords	Computer Science - Machine Learning ; Physics - Computational Physics ; Statistics - Machine Learning
Subject code	006
Publishing date	2019-05-31
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data.

Manjunath, Mohith / Zhang, Yi / Yeo, Steve H / Sobh, Omar / Russell, Nathan / Followell, Christian / Bushell, Colleen / Ravaioli, Umberto / Song, Jun S

PeerJ. Computer science

2018 Volume 4

Abstract: Summary: Clustering is one of the most common techniques used in data analysis to discover hidden structures by grouping together data points that are similar in some measure into clusters. Although there are many programs available for performing ... ...

Abstract	Summary: Clustering is one of the most common techniques used in data analysis to discover hidden structures by grouping together data points that are similar in some measure into clusters. Although there are many programs available for performing clustering, a single web resource that provides both state-of-the-art clustering methods and interactive visualizations is lacking. ClusterEnG (acronym for Clustering Engine for Genomics) provides an interface for clustering big data and interactive visualizations including 3D views, cluster selection and zoom features. ClusterEnG also aims at educating the user about the similarities and differences between various clustering algorithms and provides clustering tutorials that demonstrate potential pitfalls of each algorithm. The web resource will be particularly useful to scientists who are not conversant with computing but want to understand the structure of their data in an intuitive manner. Availability: ClusterEnG is part of a bigger project called KnowEnG (Knowledge Engine for Genomics) and is available at http://education.knoweng.org/clustereng. Contact: songi@illinois.edu.
Language	English
Publishing date	2018-05-21
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN	2376-5992
DOI	10.7717/peerj-cs.155
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Impact of phonon-surface roughness scattering on thermal conductivity of thin si nanowires.

Martin, Pierre / Aksamija, Zlatan / Pop, Eric / Ravaioli, Umberto

Physical review letters

2009 Volume 102, Issue 12, Page(s) 125503

Abstract: We present a novel approach for computing the surface roughness-limited thermal conductivity of silicon nanowires with diameter D<100 nm. A frequency-dependent phonon scattering rate is computed from perturbation theory and related to a description of ... ...

Abstract	We present a novel approach for computing the surface roughness-limited thermal conductivity of silicon nanowires with diameter D<100 nm. A frequency-dependent phonon scattering rate is computed from perturbation theory and related to a description of the surface through the root-mean-square roughness height Delta and autocovariance length L. Using a full phonon dispersion relation, we find a quadratic dependence of thermal conductivity on diameter and roughness as (D/Delta)(2). Computed results show excellent agreement with experimental data for a wide diameter and temperature range (25-350 K), and successfully predict the extraordinarily low thermal conductivity of 2 W m(-1) K-1 at room temperature in rough-etched 50 nm silicon nanowires.
Language	English
Publishing date	2009-03-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.102.125503
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: InvertNet: a new paradigm for digital access to invertebrate collections

Dietrich, Chris / Hart, John / Raila, David / Ravaioli, Umberto / Sobh, Nahil / Sobh, Omar / Taylor, Chris

ZooKeys. 2012 July 20, v. 209

2012

Abstract: InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation’s Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million ... ...

Abstract	InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation’s Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million specimens housed in 22 arthropod (primarily insect) collections at institutions distributed throughout the upper midwestern USA. The traditional workflow for insect collection digitization involves manually keying information from specimen labels into a database and attaching a unique identifier label to each specimen. This remains the dominant paradigm, despite some recent attempts to automate various steps in the process using more advanced technologies. InvertNet aims to develop improved semi-automated, high-throughput workflows for digitizing and providing access to invertebrate collections that balance the need for speed and cost-effectiveness with long-term preservation of specimens and accuracy of data capture. The proposed workflows build on recent methods for digitizing and providing access to high-quality images of multiple specimens (e.g., entire drawers of pinned insects) simultaneously. Limitations of previous approaches are discussed and possible solutions are proposed that incorporate advanced imaging and 3-D reconstruction technologies. InvertNet couples efficient digitization workflows with a highly robust network infrastructure capable of managing massive amounts of image data and related metadata and delivering high-quality images, including interactive 3-D reconstructions in real time via the Internet.
Keywords	Internet ; National Science Foundation ; arthropods ; cost effectiveness ; data quality ; databases ; infrastructure ; insect collection ; insects ; metadata ; Midwestern United States
Language	English
Dates of publication	2012-0720
Size	p. 165-181.
Publishing place	Pensoft Publishers
Document type	Article
Note	NAL-light
ZDB-ID	2445640-8
ISSN	1313-2970 ; 1313-2989
ISSN (online)	1313-2970
ISSN	1313-2989
DOI	10.3897/zookeys.209.3571
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Reduced thermal conductivity in nanoengineered rough Ge and GaAs nanowires.

Martin, Pierre N / Aksamija, Zlatan / Pop, Eric / Ravaioli, Umberto

Nano letters

2010 Volume 10, Issue 4, Page(s) 1120–1124

Abstract: We model and compare the thermal conductivity of rough semiconductor nanowires (NWs) of Si, Ge, and GaAs for thermoelectric devices. On the basis of full phonon dispersion relations, the effect of NW surface roughness on thermal conductivity is derived ... ...

Abstract	We model and compare the thermal conductivity of rough semiconductor nanowires (NWs) of Si, Ge, and GaAs for thermoelectric devices. On the basis of full phonon dispersion relations, the effect of NW surface roughness on thermal conductivity is derived from perturbation theory and appears as an efficient way to scatter phonons in Si, Ge, and GaAs NWs with diameter D < 200 nm. For small diameters and large root-mean-square roughness Delta, thermal conductivity is limited by surface asperities and varies quadratically as (D/Delta)(2). At room temperature, our model previously agreed with experimental observations of thermal conductivity down to 2 W m(-1) K(-1) in rough 56 nm Si NWs with Delta = 3 nm. In comparison to Si, we predict here remarkably low thermal conductivity in Ge and GaAs NWs of 0.1 and 0.4 W m(-1) K(-1), respectively, at similar roughness and diameter.
MeSH term(s)	Arsenicals/chemistry ; Computer Simulation ; Gallium/chemistry ; Germanium/chemistry ; Models, Chemical ; Nanotechnology/methods ; Nanowires/chemistry ; Semiconductors ; Silicon/chemistry ; Surface Properties ; Temperature ; Thermal Conductivity
Chemical Substances	Arsenicals ; Germanium (00072J7XWS) ; gallium arsenide (27FC46GA44) ; Gallium (CH46OC8YV4) ; Silicon (Z4152N8IUI)
Language	English
Publishing date	2010-03-11
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
ISSN	1530-6992
ISSN (online)	1530-6992
DOI	10.1021/nl902720v
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: InvertNet: a new paradigm for digital access to invertebrate collections.

Dietrich, Chris / Hart, John / Raila, David / Ravaioli, Umberto / Sobh, Nahil / Sobh, Omar / Taylor, Chris

ZooKeys

2012 , Issue 209, Page(s) 165–181

Abstract: InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation's Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million ... ...

Abstract	InvertNet, one of the three Thematic Collection Networks (TCNs) funded in the first round of the U.S. National Science Foundation's Advancing Digitization of Biological Collections (ADBC) program, is tasked with providing digital access to ~60 million specimens housed in 22 arthropod (primarily insect) collections at institutions distributed throughout the upper midwestern USA. The traditional workflow for insect collection digitization involves manually keying information from specimen labels into a database and attaching a unique identifier label to each specimen. This remains the dominant paradigm, despite some recent attempts to automate various steps in the process using more advanced technologies. InvertNet aims to develop improved semi-automated, high-throughput workflows for digitizing and providing access to invertebrate collections that balance the need for speed and cost-effectiveness with long-term preservation of specimens and accuracy of data capture. The proposed workflows build on recent methods for digitizing and providing access to high-quality images of multiple specimens (e.g., entire drawers of pinned insects) simultaneously. Limitations of previous approaches are discussed and possible solutions are proposed that incorporate advanced imaging and 3-D reconstruction technologies. InvertNet couples efficient digitization workflows with a highly robust network infrastructure capable of managing massive amounts of image data and related metadata and delivering high-quality images, including interactive 3-D reconstructions in real time via the Internet.
Language	English
Publishing date	2012-07-20
Publishing country	Bulgaria
Document type	Journal Article
ZDB-ID	2445640-8
ISSN	1313-2970 ; 1313-2989
ISSN (online)	1313-2970
ISSN	1313-2989
DOI	10.3897/zookeys.209.3571
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Empirical nanotube model for biological applications.

Lu, Deyu / Li, Yan / Ravaioli, Umberto / Schulten, Klaus

The journal of physical chemistry. B

2006 Volume 109, Issue 23, Page(s) 11461–11467

Abstract: An empirical model is developed to capture the electrostatics of finite-length single-walled armchair carbon nanotubes for biological applications. Atomic partial charges are determined to match the electrostatic potential field computed at the B3LYP/6- ... ...

Abstract	An empirical model is developed to capture the electrostatics of finite-length single-walled armchair carbon nanotubes for biological applications. Atomic partial charges are determined to match the electrostatic potential field computed at the B3LYP/6-31G* level of density functional theory, and a tight-binding Hamiltonian is selected which permits one to reproduce the dielectric properties in good agreement with density functional theory results. The new description is applied to study movement of a water molecule through a finite-length nanotube channel in order to demonstrate the method's feasibility. We find that atomic partial charges on the tube edges dominate the interaction between the nanotube and the entering water molecule, while the polarization of the nanotube lowers the electrostatic energy of the water molecule inside the tube.
MeSH term(s)	Electrons ; Models, Chemical ; Nanotubes, Carbon/chemistry ; Static Electricity ; Water/chemistry
Chemical Substances	Nanotubes, Carbon ; Water (059QF0KO0R)
Language	English
Publishing date	2006-07-10
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
ISSN	1520-6106
ISSN	1520-6106
DOI	10.1021/jp050420g
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Ion-nanotube terahertz oscillator.

Lu, Deyu / Li, Yan / Ravaioli, Umberto / Schulten, Klaus

Physical review letters

2005 Volume 95, Issue 24, Page(s) 246801

Abstract: We report the intriguing dynamics of a potassium ion interacting with a 16 A carbon nanotube. The ion induces a strong dielectric response in the nanotube wall that can be described through a self-consistent tight-binding method. The polarization of the ... ...

Abstract	We report the intriguing dynamics of a potassium ion interacting with a 16 A carbon nanotube. The ion induces a strong dielectric response in the nanotube wall that can be described through a self-consistent tight-binding method. The polarization of the nanotube was found to play a critical role in the ion-nanotube interaction, which exhibits a low access barrier of only 1.05 kcal/mol and a deep, attractive well with a depth of about 30 kcal/mol. An ion bound in the nanotube is predicted to oscillate at a frequency of about 0.4 terahertz, dragging the electrons of the nanotube along. Besides its appealing nature in low-dimensional physics, such a nano-oscillator may serve as a room temperature terahertz wave detector.
MeSH term(s)	Algorithms ; Carbon ; Electrochemistry ; Energy Transfer ; Nanotubes ; Particle Size ; Potassium/chemistry ; Quantum Theory
Chemical Substances	Carbon (7440-44-0) ; Potassium (RWP5GA015D)
Language	English
Publishing date	2005-12-05
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S.
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.95.246801
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: SIMULATION OF ION CONDUCTION IN α-HEMOLYSIN NANOPORES WITH COVALENTLY ATTACHED β-CYCLODEXTRIN BASED ON BOLTZMANN TRANSPORT MONTE CARLO MODEL.

Toghraee, Reza / Lee, Kyu-Il / Papke, David / Chiu, See-Wing / Jakobsson, Eric / Ravaioli, Umberto

Journal of computational and theoretical nanoscience

2010 Volume 7, Issue 12, Page(s) 2555–2567

Abstract: Ion channels, as natures' solution to regulating biological environments, are particularly interesting to device engineers seeking to understand how natural molecular systems realize device-like functions, such as stochastic sensing of organic analytes. ... ...

Abstract	Ion channels, as natures' solution to regulating biological environments, are particularly interesting to device engineers seeking to understand how natural molecular systems realize device-like functions, such as stochastic sensing of organic analytes. What's more, attaching molecular adaptors in desired orientations inside genetically engineered ion channels, enhances the system functionality as a biosensor. In general, a hierarchy of simulation methodologies is needed to study different aspects of a biological system like ion channels. Biology Monte Carlo (BioMOCA), a three-dimensional coarse-grained particle ion channel simulator, offers a powerful and general approach to study ion channel permeation. BioMOCA is based on the Boltzmann Transport Monte Carlo (BTMC) and Particle-Particle-Particle-Mesh (P(3)M) methodologies developed at the University of Illinois at Urbana-Champaign. In this paper, we have employed BioMOCA to study two engineered mutations of α-HL, namely (M113F)(6)(M113C-D8RL2)(1)-β-CD and (M113N)(6)(T117C-D8RL3)(1)-β-CD. The channel conductance calculated by BioMOCA is slightly higher than experimental values. Permanent charge distributions and the geometrical shape of the channels gives rise to selectivity towards anions and also an asymmetry in I-V curves, promoting a rectification largely for cations.
Language	English
Publishing date	2010-06-15
Publishing country	United States
Document type	Journal Article
ISSN	1546-1955
ISSN	1546-1955
DOI	10.1166/jctn.2010.1642
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