With Data Science, Rochester’s Laser Lab Moves Closer to
Controlled Nuclear Fusion
Scientists have been working for decades
to develop controlled nuclear fusion. Controlled nuclear fusion would improve
the ability to evaluate the safety and reliability of the nation’s stockpile of
nuclear weapons—in labs in lieu of actual test detonations. And ultimately, it
could produce an inexhaustible supply of clean energy.
Rochester ’s Laboratory for Laser Energetics is the largest
university-based US Department of Energy program in the nation and is home to
the OMEGA laser, the most powerful laser system found at any academic
institution.
But the challenges have
been many. Notably, designing optimal fusion experiments requires accurately
modeling all of the complex physical processes that occur during an implosion.
One of the biggest handicaps has been the lack of accurate predictive models to
show in advance how target specifications and laser pulse shapes might be
altered to increase fusion energy yields.
Now researchers at the University of Rochester ’s Laboratory for Laser Energetics (LLE), along
with colleagues from MIT, have been able to triple fusion yields by bringing
data science techniques to previously collected data and computer simulations.
Approaching a fusion milestone
The facility has taken
the lead in the laser direct-drive approach to fusion energy by blasting
spherical deuterium-tritium fuel pellets with 60 laser beams, converging
directly on the pellet surface from all directions at once. This causes the
pellet to heat and implode, forming a plasma. If sufficiently high temperatures
and pressures could be confined at the center of the implosion, a thermonuclear
burn wave would propagate radially through the entire fuel mass, producing
fusion energy yields many times greater than the energy input.
The latest increase
in yields, reported in Nature, bring scientists closer
to an important milestone in their quest to achieve controlled thermonuclear
fusion – getting the plasma to self-ignite, enabling an output of fusion energy
that equals the laser energy coming in.
“That would be a major
achievement but it will require energies much larger than the OMEGA laser such
as at the NIF at Lawrence
Livermore National Laboratory,” says Michael Campbell, LLE’s director.
Bridging the gap between experiments
and simulations
To create a predictive
model, Varchas Gopalaswamy and Dhrumir Patel, PhD students in mechanical engineering,
and their supervisor Riccardo Betti, chief scientist and Robert L . McCrory
Professor at LLE, applied data science techniques to results from about 100
previous fusion experiments at OMEGA.
“We were inspired from
advances in machine learning and data science over the last decade,”
Gopalaswamy says. Adds Betti: “This approach bridges the gap between
experiments and simulations to improve the predictive capability of the
computer programs used in the design of experiments.”
The statistical
analysis guided LLE scientists in altering the target specifications and
temporal shape of the laser pulse used in the fusion experiments. The task
required a concerted effort by LLE experimental physicists who set up the
experiments, and theorists who develop the simulation codes. James Knauer, LLE
senior scientist, led the experimental campaign.
“These experiments
required exquisite control of the laser pulse shape,” Knauer says. Patel
applied the statistical technique to design the laser pulse shape leading to
the best performing implosion.
“This was a very, very
unusual pulse shape for us,” Campbell
says. And yet, within three or four subsequent experiments, according to Campbell , an experiment
was designed that produced 160 trillion fusion reactions, tripling the previous
record at OMEGA.
“Only thanks to the
dedication and expertise of the facility crew, target fabrication, cryogenic
layering and system scientists, were we able to control the target quality and
the laser pulse to the precision required for these experiments,” Betti says.
Extrapolating to the National
Ignition Facility
When extrapolated to
match the 70-times more powerful laser-energies used at the National Ignition Facility (NIF) at Lawrence
Livermore National Laboratory, these implosions would be
expected to produce about 1,000 times more fusion reactions. Under the right
conditions, a modest improvement in target compression on OMEGA could be enough
to approach breakeven conditions at NIF energy levels, with the fusion energy
output equaling the laser energy input. “Extrapolating the results from OMEGA
to NIF is a tricky business. It is not just a size and energy issue. There are
also qualitative differences that need to be assessed” Betti said. For this
purpose, a parallel effort by LLE scientists in collaboration with colleagues
at Lawrence Livermore and the Naval Research
Laboratory (NRL) is underway at the NIF to verify that OMEGA
results can be extrapolated to NIF energies.
The NIF is configured
for an indirect drive approach to fusion experiments, in which the fuel capsule
is enclosed within a metal cylindrical can called a hohlraum. Laser beams enter
from the can ends and heat the hohlraum, which in turns produces x-rays that
cause the fuel to implode. Unlike OMEGA, NIF beams are not positioned
symmetrically, but are instead concentrated along the axis of the hohlraum. The
indirect drive scheme has also made major progress in recent experiments at the
NIF. “They are getting close to achieve burning-plasma conditions,” Campbell says.
“The next couple of
years we will do experiments on OMEGA using the same asymmetric laser
configuration of the NIF, and see what the penalty is.”
The paper lists a total
of 50 LLE scientists and students as coauthors, along with four collaborators
from MIT. The target components were made by General Atomics to meet very
strict tolerances.
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