Publications associées à Protein Data Bank

Revised ASCE-41 modeling recommendations for moment-resisting frame systems

Dimitrios Lignos, Ahmed Mohamed Ahmed Elkady, Alexander Riley Hartloper

Nonlinear static and dynamic analysis is utilized by engineers to evaluate the seismic behavior of new and existing structures in the context of performance-based earthquake engineering. Numerous experiments on steel moment-resisting frames and their compo ...

2018

Error Tolerance Analysis of Deep Learning Hardware Using a Restricted Boltzmann Machine Toward Low-Power Memory Implementation

Alexandre Schmid, Takao Marukame, Kodai Ueyoshi

Remarkable hardware robustness of deep learning (DL) is revealed by error injection analyses performed using a custom hardware model implementing parallelized restricted Boltzmann machines (RBMs). RBMs in deep belief networks demonstrate robustness against ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Validation of a FEA model of structural response of RC-cantilever beams strengthened with a (R-) UHPFRC layer

Eugen Brühwiler, Emmanuel Denarié, Hamid Sadouki

This paper focuses on modelling of structural response of RC cantilever beams retrofitted with a thin layer of Ultra High Performance Fibre Reinforced cement-based Composite (UHPFRC). The complex cracking phenomenon of the resulting RC-UHPFRC composite sys ...

Elsevier2017

Frustration-induced one-dimensionality in the isosceles triangular antiferromagnetic lattice of delta-(EDT-TTF-CONMe2)(2)AsF6

László Forró, Bálint Náfrádi

The 1/4-filled organic compound, delta-(EDT-TTF-CONMe2)(2)AsF6 is a frustrated two-dimensional triangular magnetic system as shown by high-frequency (111.2 and 222.4 GHz) electron spin resonance (ESR) and structural data in the literature. The material gra ...

Amer Physical Soc2016

Memory-error tolerance of Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines in Deep Belief Network

Alexandre Schmid, Takao Marukame, Kodai Ueyoshi

A key aspect of constructing highly scalable Deep-learning microelectronic systems is to implement fault tolerance in the learning sequence. Error-injection analyses for memory is performed using a custom hardware model implementing parallelized restricted ...

Ieee2016

Flow boiling and frictional pressure gradients in plate heat exchangers. Part 2: Comparison of literature methods to database and new prediction methods

John Richard Thome, Raffaele Luca Amalfi, Farzad Vakili Farahani

In the second part of this study a sensitivity analysis on the prediction methods is performed to consider the effect of plate geometry on thermal hydraulic performance and an extensive comparison of all the two-phase pressure drop and flow boiling heat tr ...

Elsevier Sci Ltd2016

PDB-Explorer: a web-based interactive map of the protein data bank in shape space

Luc Patiny, Daniel Kostro, Michaël Giuseppe Zasso, Jean-Louis Reymond

Background: The RCSB Protein Data Bank (PDB) provides public access to experimentally determined 3D-structures of biological macromolecules (proteins, peptides and nucleic acids). While various tools are available to explore the PDB, options to access the ...

Biomed Central Ltd2015

Catalytic Metal Ions and Enzymatic Processing of DNA and RNA

Matteo Dal Peraro, Andrea Cavalli, Giulia Palermo

Two-metal-ion-dependent nucleases cleave the phosphodiester bonds of nucleic acids via the two-metal-ion (2M) mechanism. Several high-resolution X-ray structures portraying the two-metal-aided catalytic site, together with mutagenesis and kinetics studies, ...

Amer Chemical Soc2015

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Protein Data Bank

Revised ASCE-41 modeling recommendations for moment-resisting frame systems

Error Tolerance Analysis of Deep Learning Hardware Using a Restricted Boltzmann Machine Toward Low-Power Memory Implementation

Validation of a FEA model of structural response of RC-cantilever beams strengthened with a (R-) UHPFRC layer

Single Crystal Growth, Structure, and Electronic Properties of Metallic Delafossite PdRhO2

PyMOL and Inkscape Bridge the Data and the Data Visualization

Frustration-induced one-dimensionality in the isosceles triangular antiferromagnetic lattice of delta-(EDT-TTF-CONMe2)(2)AsF6

Memory-error tolerance of Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines in Deep Belief Network

Flow boiling and frictional pressure gradients in plate heat exchangers. Part 2: Comparison of literature methods to database and new prediction methods

PDB-Explorer: a web-based interactive map of the protein data bank in shape space

Catalytic Metal Ions and Enzymatic Processing of DNA and RNA

Graph Chatbot

Chattez avec Graph Search

Revised ASCE-41 modeling recommendations for moment-resisting frame systems

PDB-Explorer: a web-based interactive map of the protein data bank in shape space

Validation of a FEA model of structural response of RC-cantilever beams strengthened with a (R-) UHPFRC layer

Flow boiling and frictional pressure gradients in plate heat exchangers. Part 2: Comparison of literature methods to database and new prediction methods

Error Tolerance Analysis of Deep Learning Hardware Using a Restricted Boltzmann Machine Toward Low-Power Memory Implementation

Frustration-induced one-dimensionality in the isosceles triangular antiferromagnetic lattice of delta-(EDT-TTF-CONMe2)(2)AsF6

PyMOL and Inkscape Bridge the Data and the Data Visualization

Memory-error tolerance of Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines in Deep Belief Network

Catalytic Metal Ions and Enzymatic Processing of DNA and RNA

Single Crystal Growth, Structure, and Electronic Properties of Metallic Delafossite PdRhO2