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To measure magnetic fields
in the brain, a high-power laser is polarized and absorbed
by potassium vapor in a T cell. A single-frequency probe laser
detects the orientation of the electron spins as they precess
in the magnetic field and this signal is detected by a photodiode
array.
(Princeton University Department of Physics) |
A magnetic microscope for the brain
The human brain produces a complex,
ever-varying electromagnetic field, generated
by the coordinated activity of billions
of neurons. Neuroscientists now believe
that this oscillating field, created by neuronal
processes, also plays a crucial role in
the brain’s functioning by synchronizing
and coordinating the activities that create it.
The limitations of the instruments available
to scientists, however, have restricted
studies of these fields. Electrodes placed on
the scalp, and used for a century, detect
electrical components of the field—which
are graphically recorded to produce an
electroencephalogram. Electrodes, however,
cannot reliably detect where inside the
brain the fields are generated. Functional
magnetic resonance imaging, which detects
increases in the metabolism of neurons,
has spatial resolution down to 1 mm, but it
requires seconds for a response—far longer
than the 5- to 100-Hz variation of the
brain’s fields. Superconducting quantum
interference devices (SQUIDs) can measure
the brain’s magnetic fields rapidly, but they
require coil sizes that limit spatial resolution
to 1 cm or more. No instrument can
simultaneously record the time and spatial
variation of the field, which has structure
down to 100 µm.
A new ultrasensitive magnetometer may
overcome that limitation. The atomic magnetometer
developed
by physicists at
Princeton University
and the University of
Washington provides
2-mm resolution
with a sensitivity to
magnetic fields twice
that of a SQUID
(Nature 2003, 422,
596). “With an optimized
device, we
should be able to
achieve 10 times
better sensitivity than
a SQUID with a
resolution of 100 to
200 µm,” says team
leader M. V. Romalis
of Princeton.
Atomic magnetometers
measure
the precession of
atoms in a magnetic
field. First, polarized
light from a laser
aligns the spins of
the atoms in a gas (potassium vapor in this
device). Then, a small magnetic field at
right angles to the spin direction causes it
to tilt—the stronger the field, the more the
tilt. The plane of polarization of a second
laser beam is rotated in proportion to the
tilt of the atoms’ spins. Thus, measuring
this optical polarization shift produces a
measure of the magnetic field along the
path of the beam. If an external magnetic
field is added, the additional rotation it
imparts is a measure of that external field.
The main limitation on the sensitivity of
atomic magnetometers results from collisions
of atoms that cause their spins to flip,
which reduces the average polarization of
the spins. To minimize such collisions,
conventional magnetometers use dilute
gases, but that requires large columns of
gas, which lowers spatial resolution.
The researchers realized that they could
get greater sensitivity and resolution by
greatly increasing the density and rate of
collisions. “If the time between collisions is
much less than the time it takes the spins
to rotate in the magnetic field, the atom
will just feel the average effect of the collisions,
and it won’t have time to flip,”
explains Romalis. With denser gas producing
a bigger signal, the team could shrink
the magnetometer chamber from about
10 cm on a side to less than 1 cm.
The new magnetometer design improves
resolution and cancels out noise by probing
the fields at seven different points along
a line, which yields 2-mm spatial resolution
with a magnetic sensitivity of 0.54 fT
(5.4 pg)/Hz1/2 at frequencies from 28 to
45 Hz. Using a two-dimensional diode
array and scanning the polarizing laser
beam in the third dimension produce a
three-dimensional map of the field in a cell.
“Our next step is to optimize the magnetometer
and demonstrate its use in detecting
the brain’s magnetic fields,” says Romalis.
Unlike cryogenic SQUIDs, the atomic
magnetometer requires no cooling, and so
it will be more capable than SQUIDs and
easier to use.
Spin and energy—free?
Most physicists would not expect startling
new theoretical conclusions to
emerge from electrostatics, whose basic
mathematical structure was completed 150
years ago. Yet two researchers at the University
of California, Riverside, arrived at
conclusions that, if true, would be revolutionary.
In a forthcoming paper ( J. Physics
A: Math. Gen. 2003, 36, 6495), Anders O.
Wistrom and V. M. Khachatourian say they
have proven mathematically that electrostatic
forces among three charged, perfectly
conducting spheres will cause them to start
spinning.
This conclusion, which the
authors have derived from Coulomb’s law,
contradicts long-held assumptions about
how electrical fields behave. Equally striking,
it implies that, in theory, an arrangement
of three such spheres could transfer
unlimited amounts of energy into the spinning
spheres—a violation of conservation
of energy.
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| (Department of Chemical
and Environmental Engineering, University of California Riverside) |
Such remarkable claims would be dismissed
quickly as perpetual motion if
reviewers for the Journal of Physics had not
carefully checked the work. In addition, the
researchers had earlier performed experiments
that they believe show the same phenomenon
(Appl. Phys. Lett. 2002, 80, 2800).
However, some large questions remain.
“We started to look at this problem
because of our interest in the forces between
colloidal particles,” says Wistrom, “and
this led to our experiments.” In these
experiments, the researchers charged a
fixed metal sphere with up to 5,000 V and
measured the effect on two uncharged
metal spheres suspended by fine wires.
“
When the voltage was applied, the free
spheres slowly rotated in opposite directions
until they were stopped by the torsion
in the supporting wires,” says Wistrom.
“
And when the potential was turned off,
they went back to their original positions.”
The initial experimental paper gave no
quantitative data. “We wanted to wait until
we had theoretical calculations to compare
the data with,” says Wistrom. However, he
told The Industrial Physicist that in one set
of experiments, 0.8-kg, 14-cm-radius
spheres, which were almost touching,
rotated through about 30° in a 10-min period,
implying a torque on the order of
0.5 dyn•cm. This torque is small but hundreds
of times larger than those routinely
calibrated with Cavendish balances, which
measure the force of gravity between small
spheres. So although the torque could have
been measured quite accurately with simple
equipment, it appears that Wistrom
made only rough observations.
Theoretical calculations of the forces and
torques among three spheres had never been
done because the problem lacks an axis of
symmetry and the mathematics is complex.
However, by using new approaches to the
problem, Wistrom and Khachatourian
solved the problem mathematically for the
case in which the spheres are distant relative
to their radii. They found torques on each
sphere, but they were thousands of times
larger than their experiments had indicated.
The researchers were unable to mathematically
solve for conditions in which the
spheres were close to each other.
Their results contradict several basic
details of electromagnetic field theory that
have stood for more than a century. One is
that because the potential is the same all
over the surface of a conducting sphere, the
field direction must be everywhere perpendicular
to that surface, which eliminates any
torque. Second, and perhaps more fundamental,
a net torque implies no limit on
energy transfer to the spinning spheres.
When electrostatic forces cause a translational
motion of objects, the objects will
eventually move far from each other, collide,
or remain in a stable orbit. In any of these
cases, energy transfer from the field to the object is limited and finite. But if one uses
electrostatic forces to apply torque to a perfectly
conducting sphere, the object’s spin
increases, whereas the distribution of charges
on its surface remains motionless, continuing
to apply the same net torque. In the
absence of friction or opposing forces, there
would be no limit to the energy transfer.
“We know these results sound puzzling,
but we don’t have the resources to do additional
work on this,” Wistrom comments.
Other researchers could check the claims
easily. A computer simulation could certainly
determine whether the predicted
torques exist in theory. A replication of the
Riverside experiment could accurately measure
the torques. And because the effect is
expected to increase as the square of the
applied potential, an experiment at higher
voltage—say, 50 to 100 kV—could produce
enough torque to overcome bearing
friction. That experiment could test whether
a spin-up of the spheres really occurred.
Until such tests are conducted, the promise
of free energy from electrostatic forces will
inevitably generate great skepticism.
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A stream of metal ions
is sprayed onto a template created by molecular-beam epitaxy
and etching to produce arrays of up to 40 wires 2 to 3 mm long
and as small as 8nm wide.
(California Nanosystems Institute, University of California, Los Angeles/Caltech) |
Finest nanowire arrays
Nearly every month, researchers develop
new methods of producing smaller
nanocircuit components. Many of these
involve creating master patterns with electron
beam lithography and then stamping
out components, including fine wires, with a die pressed into temporarily
molten material (see The Industrial Physicist,
December 2002/January 2003). Such methods
are limited by the resolution obtainable
with electron beams—currently around
20 nm in diameter for wires.
The latest method, which achieves diameters
as small as 8 nm, or about 80 atoms
across, avoids this limitation by forgoing
electron beam lithography. Developed jointly
by researchers at the University of California
campuses at Los Angeles and Santa
Barbara and Caltech scientists, the method
uses molecular-beam epitaxy (MBE) to form
wire arrays (Science 2003, 300, 112).
Alternating 8-nm-thick layers of gallium
arsenide and aluminum gallium arsenide are
laid down first with MBE. The finished layers
are rotated 90° and the aluminum gallium
arsenide layers selectively etched out. The
template is then rotated another 36° and
exposed to a stream of metal ions, which
form a thin layer of metal on each exposed
gallium arsenide layer to create the wires.
Next, the superlattice is placed face
down onto an adhesive and the gallium
arsenide is etched away, leaving the wire
array attached to the adhesive. If desired,
the adhesive can be removed with oxygen
plasma to leave the wires free. The result is
an array of up to 40 wires 2 to 3 mm long
and as small as 8 nm wide.
The wire arrays have many applications,
including as etch masks for producing similar-
sized wires out of semiconductors. Two
arrays can be laid down at right angles to
one another to form crossbar-array circuits
with junction densities as high as 1011/cm2.
In addition, the team showed that suspending
the wires across a 750-nm trench
formed a micromechanical oscillator with a
resonant frequency of 162 MHz.
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Simulation of nanocrystalline
hydrogenated silicon, including embedded crystalline silicon
atoms (black), amorphous silicon (red), and hydrogen (yellow),
used to study the drop in efficiency of solar cells.
(Department of Physics and Ames Laboratory, Iowa State University) |
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Solar-cell burnout
When first placed in operation in sunlight,
solar cells lose 15 to 20% of
their efficiency in a few days. Unfortunately,
researchers have not determined why this
drop occurs in the thin-film, hydrogenated
amorphous-silicon cells in common but
limited use for 20 years. At Ames Laboratory,
a Department of Energy facility, and
Iowa State University’s Microelectronics
Research Center, Rana Biswas, Bicai Pan,
and Yiying Ye have discovered how the efficiency
drop occurs and a possible way to
stop it (submitted to MRS Symp. Proc.
2003, 762, A11.4).
In amorphous silicon, which lacks the
regular structure of the crystalline form,
some bonds between silicon atoms are
elongated and weak. In earlier work, the
Ames team showed that photons need little
energy to break these weak bonds and set
off a chain of events that leads to lost efficiency. “
Using our own simulation models
of atomic bonds and molecular dynamics,
we showed that the weak bonds broke
apart into a dangling bond—a silicon atom
with an extra unbonded electron—and a
floating bond, a silicon atom bonded to
five instead of four other silicon atoms,”
Biswas explains. The floating bond, essentially
an electron orbital that surrounds
several silicon atoms, moves swiftly through
the material while the dangling bond
remains behind. When a photon creates an
electron–hole pair near the dangling bond,
the dangling silicon atom captures the electron,
and it is not available to move toward
the electrodes as part of the current, which
decreases efficiency.
In recent years, solar-cell researchers
had found empirically that mixed-phase silicon,
which has tiny nanocrystals embedded
in the amorphous structure, suffers
less light-induced efficiency loss. The Ames
team’s new work demonstrates why. “What
we found in our models is that at the
boundary between the nanocrystals and
the amorphous phase, there is a great concentration
of ver y weak and distorted
bonds, with bond angles up to 35°, compared
with the normal amorphous range of
5° to 15°,” says Biswas. These distorted
bonds are especially easy to break and
would lead to dense arrays of floating and
dangling bonds—which would worsen the
efficiency problem.
However, Biswas’s group reasons that
with so many broken bonds in a tiny area,
the mobile floating bonds will quickly run
into dangling bonds and eliminate the
defect. Dangling bonds close together in
this tiny area can also recombine with each
other. Because the photons form the dangling
bonds preferentially in the boundary
layers, where they will be harmlessly eliminated,
fewer dangling bonds are available
to soak up electrons.
“With this model, we can now study
how the efficiency loss is affected by varying
the mix of nanocrystals and amorphous
phase,” says Biswas. The team’s initial
models assumed that nanocrystals occupied
only 10% of the volume, but later
modeling will look at mixtures with only a
small proportion of amorphous material
and at others in between the two extremes.
It is hoped that this modeling will enable
the team to determine the optimum mix
for maximum efficiency.
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