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Computational materials science and industrial R&D: accelerating progress
2001 Edition, Volume 3, January 1, 2001 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Computational materials research has made major advances over the past decade (1991-2001) in accelerating the design, processing and property optimization of technologically important materials. Material simulation is still in its infancy, however, as the...

Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning
2014 Edition, August 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Technology drives advances in science. Giving scientists access to more powerful tools for collecting and understanding data enables them to both ask and answer new kinds questions that were previously beyond their reach. Of these new tools at their disposal, machine learning...

Computational Experience with Nano-material Science Quantum Monte Carlo Modeling on BlueGene/L
2009 Edition, December 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Modeling and simulation are necessary for nano-material science, as experiments and appliances are costly. In this work we introduce a typical tool flow used for computational nano-material science and report our computational...

Towards production FPGA-accelerated molecular dynamics: Progress and challenges
2010 Edition, November 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Recent work in the FPGA acceleration of molecular dynamics simulation has shown that including on-the-fly neighbor list calculation (particle filtering) in the device has the potential for an 80× per core speed-up over the CPU-based reference code and so to make the approach competitive with...

Using yield models to accelerate learning curve progress (semiconductor industry)
1992 Edition, Volume 5, February 1, 1992 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Worldwide competitive pressure is driving successful semiconductor companies toward ever improving performance-price ratios. In addition, this pressure is accelerating the rate of performance-price improvement. Using yield models can accelerate the rate at which processing experience...

Using yield models to accelerate learning curve progress
1990 Edition, January 1, 1990 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The authors describe the application of yield models at SEMATECH to define the relative contribution of unit process steps and equipment to particle-limited yield. After validation, these detailed models can simulate the yield effects of process and equipment improvement plans. Yield...

With the Certificate-Rating System of Building Energy Efficiency, Accelerated the Progress of Building Energy Efficiency
2008 Edition, October 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper first examined the present situation on the global energy and the building energy consumption in China, then discussed the importance of building energy efficiency (abbr. BEE). Used for reference the certificate-rating system of BEE in abroad, the authors proposed to set up the...

Progress Toward Externally Powered X-Band Dielectric-Loaded Accelerating Structures
2010 Edition, Volume 38, June 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We summarize recent progress in a program to develop externally powered dielectric-loaded accelerating (DLA) structures that can sustain high accelerating gradients. High-power RF tests of earlier structures showed strong multipactor loading. In addition, arcing at dielectric...

Computational Science Education Project
1993 Edition, January 1, 1993 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The Computational Science Education Project (CSEP) was initiated in September 1991 by the Office of Scientific Computing at the Department of Energy. The goal of CSEP is to develop a syllabus and associated materials for teaching computational science at...

Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation
2016 Edition, September 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Recently, an annihilating filter based low-rank Hankel matrix approach (ALOHA) was proposed as a general framework for sparsity-driven k-space interpolation method for compressed sensing MRI (CS-MRI). The principle of ALOHA framework is based on the fundamental duality between the transform domain...

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