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November 2, 2011: CERN Experiment and Violation of Newton’s Second
Law Englishview
October 13, 2011: CERN Experiment and Violation of the Newton’s
Second Law Persianview
November 24, 2008: A New Definition of Gravitonview
July 10, 2007: Zero Point Energy and the Dirac Equationview
July 10, 2007: Zero Point Energy and the Dirac Equationview
June 28, 2007: Unification and CPH Theoryview
June 14, 2007: Summary of Physics Conceptsview
June 14, 2007: Strong Interaction and CPH Theory Rview
June 4, 2007: Quantum Electrodynamics and CPH Theoryview
November 30, 2006: Vocabulary of CPH Theoryview
November 17, 2006: Thermodynamic Laws Entropy and CPH Theoryview
November 17, 2006: Time Function and Absolute Black Holeview
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October 13, 2006: CPH Theory and Newton's Second Lawview
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July 31, 2006: A New Mechanism of Higgs Bosons in Producing Charge
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May 14, 2006: Speed of Light and CPH Theoryview
May 14, 2006: Speed of Light and CPH Theoryview
April 28, 2006: Color Charges Curve Spaceview
April 28, 2006: Color Charges Curve Spaceview
April 17, 2006: Effective Nuclear Chargeview
April 17, 2006: Effective Nuclear Chargeview
April 12, 2006: Maxwell's Equations in a Gravitational Fieldview
April 12, 2006: Maxwell's Equations in a Gravitational Fieldview
April 11, 2006: Realization Hawking - End of Physics by CPHview
April 7, 2006: Questions and Answers on CPH Theoryview
April 7, 2006: Opinions on CPH Theoryview
April 7, 2006: Opinions on CPH Theoryview
April 7, 2006: Questions and Answers on CPH Theoryview
March 23, 2006: Analysis of CPH Theoryview
March 23, 2006: Analysis of CPH Theoryview
March 21, 2006: Logical Foundation of CPH Theoryview
March 21, 2006: Definition Principle and Explanation of CPH Theoryview
March 21, 2006: Logical Foundation of CPH Theoryview
March 21, 2006: Definition Principle and Explanation of CPH Theoryview
March 21, 2006: Experimental Foundation of CPH Theoryview
March 21, 2006: Experimental Foundation of CPH Theoryview
March 19, 2006: Color Charge/Color Magnet and CPHview
March 19, 2006: Sub-Quantum Chromodynamicsview
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New nano-simulation tools to design smaller
transistors |
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New nano-simulation
tools to design smaller transistors
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(Nanowerk
News) The semiconductor industry is in peril, experts
say. |
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As
chips get smaller and smaller, they grow intensely hot,
power-hungry and unreliable. Furthermore, at the nano-regime
(10 nanometers and smaller; 5,000 times thinner than a
strand of hair), the electrons that flow through
semiconductors begin to behave like waves, ruled by the laws
of quantum mechanics, and chips lose their efficiency. |
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The semiconductor industry is going to come to a halt in
ten years unless we find design alternatives, said Gerhard
Klimeck, a professor of electrical and computer engineering
at Purdue University and associate director for technology
at the Network for Computational Nanotechnology (NCN). We
must get away from traditional designs which are, in a
sense, one-dimensional, modified layer by layer, and start
modifying devices to vary on a three-dimensional scale. For
that, we need a different simulation engine. |
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Such a simulator would have to take into account both the
quantum behavior and the atomic-level detail of their
components, which makes them far more complex to model than
todays chips. |
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Klimeck is both a designer of nanoelectronic components
quantum dots, wires and wells and the creator of some of
the most effective tools for the design of these
next-generation parts. |
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Working first at Texas Instruments, then the NASA Jet
Propulsion Laboratory, and now at Purdues Network for
Computational Nanotechnology, Klimeck has been at the
cutting edge of computational semiconductor simulation,
producing tools that enable thousands of scientists to
understand and design ever-shrinking electronics. |
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What will these future devices look like? How will they be
designed and manufactured? And how can they be optimized
quickly to keep the semiconductor industry on track? |
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The
answers to these questions have major ramifications, not
just for the ubiquitous computer industry, but also for
detectors, lasers, and green energy solutions, all of which
will impact our lives. |
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The Growth
of the Simulator |
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In
the early 1990s, Klimeck began working on the first
incarnation of a simulation engine that could predict how
miniaturized semiconductors would behave. NEMO 1D
delivered atomistic, quantum transport simulations, modeling
how electrons would act in the first room temperature,
quantum effect logic and memory device: the resonance
tunneling diode. |
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However, NEMO 1D could only represent the diode in one
dimension, and thus simplified many aspects of the devices
behavior. In its time, it was radical, and it remains a
useful tool for designers today. But Klimeck knew that he
had to set his sights higher to achieve his long-term goal
of sustainable nano-electronic design. |
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He
began work on NEMO 3D knowing that the calculations required
to solve the three-dimensional transport equations were then
intractable. In 1998, it was completely unfeasible to think
about quantum transport taking an electron on one side and
pulling it out on the other side of the device, Klimeck
said. What was feasible, however, was to look at a million
atom electronic structure, i.e. looking at the states where
electrons could reside, without the transport component. |
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But
as the speed and memory of computers increased exponentially
over the last decade, what was at first only geared towards
quantum dots grew into a useful tool for the simulation of
small-scale systems generally. |
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Now, you can look at single impurities on semiconductors
and at electronic states on nanowires and quantum wells in a
three-dimensional representation where you can place one
atom at a time, and replace it with others, and see what
effect the disorder has on the system, Klimeck said. |

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Full 3D
Volume Rendering of Electrostatic Potentials and
Electron Densities: The nanoVIS technology integrated
into the Rappture and nanoHUB middleware allows
developers to deploy tools that provide rapid and fully
integrated volume rendering of 3D data. This is a screen
shot taken from an animation of the nanowire tool which
illustrates the development of the electron charge and
the electrostatic potential inside a circular nanowire.
[click
to watch full animation] |
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Work based on NEMO3D explaining the
experimental effects of single impurities in advanced
nano finFETs has recently been published in Nature
Physics and the prestigious Electrical Engineering
Device Conference at IEEE IEDM, and clarified
experimental data on ultra-thin body transistors [see
below for full citations]. |
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The newest simulator, OMEN (thats NEMO
backwards), developed by Dr. Mathieu Luisier, a research
faculty member of NCN working in the Klimeck group,
combines the critical aspects of each of the previous
NEMO simulation engines and allows researchers to
simulate the three-dimensional behavior of electrons at
varying energy levels. |
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Klimecks group uses the tool to explore
nanowires and ultra-scaled transistors in silicon and
indium-arsenide for experimental test structures and
future unrealized systems. Collaborating with
experimentalists at MIT and Notre Dame University, he
has been able to compare the simulated devices that his
software models predict with actual experimental devices
built in research labs today, as a way of testing the
efficiency of the new tool [see below for full
citations]. |
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Designing smaller and different
transistors may allow for further reduction in power
consumption and increased computational capabilities in
modern chips, Klimeck said. And hopefully it allows
the continued growth of the semiconductor industry for a
few more device generations. |
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Accurately simulating atomic-level,
quantum transport models of potential devices requires
the efficient use of massive supercomputers. So in a
feat of computational programming, Luisier recently
scaled his simulation code to 59,900 processors on
TACCs Ranger supercomputer nearly the entire
62,976-core system. |
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Were at the forefront of building
applications that scale that far. But on the other hand,
were using Ranger to model these devices on 1,000 or
4,000 processors to get as much throughput as we can,
Klimeck said. Overall, his group used more than 3
million computing hours on the system in 2008 alone. |
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Having access to Ranger allowed Klimeck
to run simulations and explore designs far more quickly
than previously possible. Its not that Ranger enables
us to compute something we couldnt compute before,
Klimeck said. Its more like we wouldnt compute it
because it would take too long. |
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Teach a Person to Fish |
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Klimecks ambitions are more far-reaching
and altruistic than a single simulator or project,
however. Why have only a few researchers working on such
an important problem, when you can have tens of
thousands? |
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To that end, he has embedded the tools
hes created, as well as those built by other
researchers, into an advanced web-based platform,
nanoHUB, to take advantage of the possibilities of Web
2.0 applications. |
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On the site, researchers and engineers,
many without knowledge or understanding of computer
coding or HPC, can create simulations to further their
experimental research, or to learn the basics of
computational design and simulation. |
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The goal is to put simulation tools into
peoples hands who normally wouldnt touch them with a
ten-foot pole, Klimeck said. For them, its of
critical importance that the user interface is
intuitive, that they dont have to install the software,
that they have easy access, and that they can explore
their simulations interactively. These people are not
interested in running a simulation for a week. They
literally want to have simulation results in minutes. |
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nanoHUB makes this possible. With more
than 120 available tools, enabling researchers,
educators, and students to do everything from
small-scale virtual experiments to massive parallel
simulations as well as tutorials and research seminars
on simulation tools and nanotechnology in general
nanoHUB has been a great success. |
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In the year 2008 alone, over 89,000
researchers, educators, and students used the site; over
55 classes employed the site in immersive learning
experiments; and more than 6,700 users ran over 381,000
simulations in the web-environment that let them ask
what-if questions fully interactively without
installing any software. [usage data is publicly
available at www.nanohub.org/usage] |
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Nobody can touch us in terms of science
gateway usage, Klimeck said. Its a unique system and
I think people looking at impact of cyberinfrastructure
see us as the leader in the field. |
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In many respects, the cyberinfrastructure
of the future is already here, Klimeck insists. It does
not need five more years of research, but it needs
faculty members who are dedicated to making their own
research useful to others, rather than just themselves
and their own research group, he said. |
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The secret to nanoHUB.orgs success is a
simple but effective method of turning Unix-based codes
into applications that can run inside a browser. This
method has now expanded from nanoHUB, which focuses on
nanotechnology simulations, to eight new hubs that are
operated by Purdue, including simulation engines for
advanced manufacturing techniques, cancer care
engineering, helping people with disabilities,
pharmaceutical design, and clinical studies. [More about
this effort is available at www.HUBzero.org] |
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Between his nano-simulations tools,
personal research on future semiconducting systems, and
the distributed knowledge applications hes
spearheading, Gerhard Klimeck with the help of TACCs
Ranger supercomputer is enabling leaps in technology
that will have a far-reaching impact on society. |
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Papers/presentations mentioned above
include: |
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G.P. Lansbergen, R. Rahman, C.J. Wellard,
P.E. Rutten, J. Caro, N. Collaert, S. Biesemans, I. Woo,
G. Klimeck, L.C.L. Hollenberg, and S. Rogge , "Gate
induced quantum confinement transition of a single
dopant atom in a Si FinFET", Nature
Physics, Vol. 4, pg. 656 (2008)] |
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Gabriel P. Lansbergen, Rajib Rahman, C.J.
Wellard, J.Caro1, N.Collaert, S. Biesemans, Gerhard
Klimeck, Lloyd C.L. Hollenberg, Sven Rogge ,
"Transport-based dopant mapping in advanced FinFETs",
accepted in IEEE IEDM, San Francisco, USA, Dec. 15-17,
2008. |
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Mathieu Luisier, Neophytos Neophytou,
Neerav Kharche, and Gerhard Klimeck, "Full-Band and
Atomistic Simulation of Realistic 40 nm InAs HEMT",
accepted in IEEE IEDM, San Francisco, USA, Dec. 15-17,
2008. |
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Gerhard Klimeck and Mathieu Luisier,
"From NEMO1D and NEMO3D to OMEN: moving towards
atomistic 3-D quantum transport in nano-scale
semiconductors", accepted in IEEE IEDM, San Francisco,
USA, Dec. 15-17, 2008. |
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Source: The
University of Texas at Austin (Aaron Dubrow) |
Source: http://www.nanowerk.com/news/newsid=8994.php
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@2003-2012 The CPH theory, All right reserved
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