Empa Topical Day – High performance multiscale modelling V

Date: Thursday, May 31, 2018 Time: 09:00-16:00 Location: Empa, Dübendorf, Überlandstrasse 129 Topic: Advanced simulations at nano- to environmental scales and linking of multiple scales, including electronic structure calculations, molecular dynamics, discrete element modelling, Lattice Boltzmann methods, continuum hygro-thermo-mechanical FEM and environmental computational…

Fault Diagnosis of wind turbine structures using decision tree learning algorithms with big data

In the context of optimized Operation & Maintenance of wind energy infrastructure, it is important to develop robust decision support tools. A major challenge lies in the multiple uncertainties in the aggregated data, the available knowledge with respect to the…

CSZ mini-course: Discontinuous Galerkin methods for time-dependent convection dominated problems

Invitation to a mini-course by Prof. Dr. Chi-Wang Shu (Professor of Applied Mathematics, Division of Applied Mathematics, Brown University): Date: Tuesday, October 10, 2017 Time: 14:00-17:00 Location: HG F 26.1, ETH Zurich Organiser: Prof. Dr. Siddharta Mishra Abstract: In this minicourse, we will present…

A variational method for probing extreme events in turbulent dynamical systems

Invitation to a talk by Prof. Dr. Themistoklis Sapsis (Associate Professor of Mechanical and Ocean Engineering, Department of Mechanical Engineering, Massachusetts Institute of Technology): Date: Friday, June 23, 2017 Time: 11:00-12:00 Location: LEE E 308, ETH Zurich Host: Prof. Dr. George Haller Abstract: Prediction of…

Extending R packages to support 64-bit compiled code: An illustration with spam64 and GIMMS NDVI3g data

Software packages for spatial data often implement a hybrid approach of interpreted and compiled programming languages. The compiled parts are usually written in C, C++, or Fortran, and are efficient in terms of computational speed and memory usage. Conversely, the…

Empa Topical Day: High-performance multiscale modelling IV

Date: Tuesday, May 30, 2017 Time: 09:00-16:00 Location: Empa, Dübendorf, Überlandstrasse 129 Topic: Advanced simulations at nano- to environmental scales and linking of multiple scales, including electronic structure calculations, molecular dynamics, discrete element modelling, Lattice Boltzmann methods, continuum hygro-thermo-mechanical FEM and environmental computational fluid dynamics. Target Audience: Scientists,…

Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks

We show that real multiplex networks are unexpectedly robust against targeted attacks on high degree nodes, and that hidden interlayer geometric correlations predict this robustness. Without geometric correlations, multiplexes exhibit an abrupt breakdown of mutual connectivity, even with interlayer degree…

NeuroAgents – Neuromorphic electronic agents: from sensory processing to autonomous cognitive behavior

Neural networks and deep learning algorithms are currently achieving impressive state-of-the-art results. In parallel computational neuroscience has made tremendous progress with both theories of neural computation and with hardware implementations of dedicated brain-inspired computing platforms. However, despite this remarkable progress,…

Polly-ACC: Automatic Compilation of C/C++/FORTRAN programs to GPU accelerators

Today’s increasingly heterogeneous and specialized hardware mandates the use of complex programming models such as data parallel languages (e.g., CUDA or OpenCL) or the development of specialized domain specific compilers. This makes adding accelerator support into a larger code base not only costly, but…

Replica-exchange enveloping distribution sampling – a robust method to estimate multiple free-energy differences from a single simulation

The driving force for all (bio)molecular processes is the change of free energy. The estimation of free-energy differences from computer simulations remains, however, a challenging task. Rigorous methods to estimate free-energy differences that rely on conformational sampling from molecular dynamics (MD)…

Talk: No Equations, No Variables: Data and the Computational Modeling of Complex Systems

Invitation to a talk by Prof. Yannis G. Kevrekidis (Chemical and Biological Engineering & Program in Applied Computational Mathematics at Princeton University) as part of the Kolloquium Thermo- und Fluiddynamik (KTF) Date: Thursday, October 15, 2015 Time: 16:15 Location: HG D 7.1,…

Longstanding biology problem put to rest: Proof that a 40-year-old algorithm is the best possible will come as a relief to computer scientists

“Comparing the genomes of different species — or different members of the same species — is the basis of a great deal of modern biology. DNA sequences that are conserved across species are likely to be functionally important, while variations…

Computational science: …Error …why scientific programming does not compute.

“As a general rule, researchers do not test or document their programs rigorously, and they rarely release their codes, making it almost impossible to reproduce and verify published results generated by scientific software, say computer scientists. <…> As recognition of…

Differences in tumor cell metabolism affect growth, invasion and response, say researchers

Cells within a tumor are not the same; they may have different genetic mutations and different characteristics during growth and throughout treatment. These differences make treating tumors extremely difficult and often lead to tumor recurrence dominated by more aggressive tumor…

RMIT University researchers have mimicked the way the human brain processes information with the development of an electronic long-term memory cell

Researchers at the MicroNano Research Facility (MNRF) have built the one of the world’s first electronic multi-state memory cell which mirrors the brain’s ability to simultaneously process and store multiple strands of information. The development brings them closer to imitating…