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pages, marked with GREEN headings, are published for comment
and criticism. These are not our final findings; some of
these opinions will probably change. LOG
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Overview of
all studies: Because of the largely unexpected transformational
power of molecular manufacturing, it is urgent to understand the issues
raised. To date, there has not been anything approaching an adequate study
of these issues. CRN's recommended series of thirty
essential studies is organized into five sections, covering fundamental
theory, possible technological capabilities, bootstrapping potential,
product capabilities, and policy questions. Several preliminary conclusions
are stated, and because our understanding points to a crisis, a parallel
process of conducting the studies is urged.
CRN is actively
looking for researchers interested in performing or assisting with this
work. Please contact CRN Research Director Chris
Phoenix if you would like more information or if you have comments
on the proposed studies.
Study
#11
How
rapidly will the cost of development decrease?
How long will it
be before development of molecular manufacturing becomes attractive
to large corporations? How long before it can be done in a garage
or a developing nation? How long before it falls off the radar of any
reasonable detection effort? It is crucial that we learn the answers
to these questions.
Subquestion
How rapidly
is the cost of computer time falling? How much additional advantage
could be gained by innovative computation (distributed computing, special-purpose
logic, etc.)?
Preliminary answer
In general, computer
costs fall according to Moore's Law. Additionally, new ways of using
existing resources such as distributed computing (SETI@Home)
and massive clusters of cheap computers (Google)
may reduce the cost for big projects. Special-purpose hardware may improve
price/performance by multiple orders of magnitude.
Subquestion
What software
is being developed (commercial as well as Open Source) for physics simulation,
chemical simulation, and CAD?
Preliminary answer
Lots.
Subquestion
How quickly
are sub-nanometer or even sub-angstrom sensing and manipulation technologies
becoming cheap, simple, readily available, and well understood?
Preliminary answer
A
group in Russia has developed an SPM with angstrom resolution
that sells for US$30,000. SPMs have been available for over a decade
and are not hard to use. New tools are generally computer-controlled,
making it possible to design intuitive interfaces. The Russian system
deserves special attention because it combines several capabilities
that appear targeted at atomically precise mechanosynthesis: gas flow-through
(for deposition); STM (for imaging and surface modification); and
equipment for rapid sample changing.
Subquestion
How rapidly
is the cost of top-down nanofabrication falling, the resolution shrinking,
and the lag time decreasing?
Preliminary answer
We need more numbers
on cost. Resolution is down to ~50 nm or better for optical litho, ~20
nm for e-beam and two-photon polymerization, ~15 nm for DPN. Some litho
technologies have lag time of hours.
Subquestion
Can the
increasing size, functionality, and programmability of molecules be
plotted or projected? (E.g. dendrimers, precise polymers, nucleic acids)
Preliminary answer
Good question.
Metrics can be developed for assessing recent trends.
Subquestion
How rapidly
are these techniques and capabilities filtering down to postdocs and
other readily available workers?
Preliminary answer
Our impression
is that postdocs can easily learn these technologies.
Subquestion
How rapidly
is the cost of mechanical design, including CAD software, decreasing?
Preliminary answer
To some extent,
this depends on computer power. To some extent, on writing new software,
which will probably remain the same—but probably won't be a significant
expense. To some extent, on creativity, which is very hard to quantify.
But it should be noted how much has been accomplished by just a few
unfunded researchers over the past decade.
Conclusion
Computer
and lab resources are becoming rapidly less expensive. The speed will
surprise anyone not familiar with the computer industry. Although it's
hard to quantify, our current estimate (based also on tracking previous
difficulty estimates) is that the cost will decrease exponentially more
or less like the cost of computers: falling by half every two years
or so.
The situation is
extremely urgent. The stakes are unprecedented, and the world is unprepared.
The basic findings of these studies should be verified as rapidly as
possible (months, not years). Policy preparation and planning for implementation,
likely including a crash development program, should begin immediately.
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