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New nano-simulation tools to design smaller transistors
| (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.” |
| 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 today’s chips. |
| 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. |
| Working first
at Texas Instruments, then the NASA Jet Propulsion Laboratory, and now
at Purdue’s 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. |
| 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? |
| 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.
|
| The Growth of the
Simulator |
| 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 device’s 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. |
| 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.” |
| 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.
|
| “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.
|

|
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] |
|
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]. |
|
The newest simulator, OMEN (that’s
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. |
|
Klimeck’s 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].
|
|
“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.” |
|
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 TACC’s Ranger supercomputer — nearly
the entire 62,976-core system. |
|
“We’re at the forefront of
building applications that scale that far. But on the other hand,
we’re 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. |
|
Having access to Ranger allowed
Klimeck to run simulations and explore designs far more quickly than
previously possible. “It’s not that Ranger enables us to compute
something we couldn’t compute before,” Klimeck said. “It’s more like
we wouldn’t compute it because it would take too long.” |
|
Teach a Person to Fish…
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|
Klimeck’s 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? |
|
To that end, he has embedded the
tools he’s 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. |
|
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. |
|
“The goal is to put simulation
tools into people’s hands who normally wouldn’t touch them with a
ten-foot pole,” Klimeck said. “For them, it’s of critical importance
that the user interface is intuitive, that they don’t 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.” |
|
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. |
|
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] |
|
“Nobody can touch us in terms of
science gateway usage,” Klimeck said. “It’s a unique system and I
think people looking at impact of cyberinfrastructure see us as the
leader in the field.” |
|
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. |
|
The secret to nanoHUB.org’s
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] |
|
Between his nano-simulations
tools, personal research on future semiconducting systems, and the
distributed knowledge applications he’s spearheading, Gerhard
Klimeck — with the help of TACC’s Ranger supercomputer — is enabling
leaps in technology that will have a far-reaching impact on society.
|
|
Papers/presentations mentioned
above include: |
|
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)] |
|
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. |
|
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. |
|
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. |
|
Source: The University of Texas
at Austin (Aaron Dubrow) |
Source:
http://www.nanowerk.com/news/newsid=8994.php
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Contains: names, biographies and
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Light that travels…
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Before the Big Bang
Structure of Charge Particles
Move Structure of Photon
Structure of Charge Particles
Faster Than Light
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Structure of Charge Particles
Move Structure of Photon
Structure of Charge Particles
Zero Point Energy and the Dirac Equation
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Analysis
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Opinions on CPH Theory [PDF]
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Effective
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Color
Charges Curve Space [PDF]
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