What 3D printers are doing to facilitate fabrication, 3D drawing programs are surpassing to facilitate design. As described at ScienceDaily.com, two systems referred to as “powerful” and “spectacular” are being highlighted at the SIGGRAPH 2014 conference in Vancouver this week: True2Form (out of University of British Columbia) brings 2D sketches into 3D (excerpt from SD [...]
Archive for the 'Computational nanotechnology' Category
The complex molecular recognition code of RNA offers RNA nanotechnology a greater variety of 3D structures and functions than are present in DNA nanotechnology, but the RNA structures can be fragile. New RNA triangles that resist boiling solve this problem.
A possible top-down path to atomically precise manufacturing that passes through microscale machinery might be rendered easier because of recent progress in suppressing the Casimir force, which contributes to the ‘stiction’ problem often encountered with microelectromechanical systems.
A very large community of online gamers has consistently produced RNA designs that outperform the best design algorithms by a large margin. Can online gamers designing RNA, protein, and other molecules contribute to the development of atomically precise manufacturing?
A study of RNA structures actually present in cells reveals that cells spend energy restricting thermodynamically driven RNA folding so that fewer RNA structures are found in cells than in test tubes.
Carbyne – a straight line of carbon atoms linked by double bonds or by alternating single and triple bonds — is the next stiff, carbon-based structure with unusual and desirable properties. It has been observed under limited natural and experimental conditions, is expected to be difficult to synthesize and store, and now has been theoretically [...]
A major advance in the computational design of proteins that bind tightly to specific small molecules will facilitate several technologies, possibly including the development of atomically precise manufacturing.
The Conference to be held February 7-9, 2014 in Palo Alto, California will emphasize the integration of nano-engineered devices and materials into larger, more complex systems.
In anticipation of Eric Drexler’s new book, Forbes contributor Bruce Dorminey interviews him about the meaning of nanotechnology and its revolutionary prospects. Selected excerpt: … In what fields would APM cause the most pronounced economic disruption and the collapse of global supply chains to more local chains? The digital revolution had far-reaching effects on information [...]
Nanoparticles decorated to avoid immune system recognition were tested in mice and shown to survive longer and deliver more imaging dye and drug to tumor cells.
Electrons from a scanning tunneling microscope tip turn a five-arm rotor connected via a single ruthenium atom bearing to a tripod anchoring the molecular motor to a gold surface.
Five proteins were designed from scratch and found to fold into stable proteins as designed, proving the ability to provide ideal, robust building blocks for artificial protein structures.
Noncontact atomic force microscopy using a tip functionalized with a single molecule provides highly precise measurement of individual chemical bond lengths and bond orders (roughly, bond strength).
A combination of theoretical and experimental work on peptoids, synthetic analogs of proteins, points to the ability to design peptoids with desired structures and functions.
Computational insights into a fundamental organic synthesis reaction may lead to the ability to design a catalyst for any desired reaction.
The 2013 Foresight Technical Conference: Illuminating Atomic Precision will be held January 11-13, 2013 in Palo Alto, CA USA.
A variety of protein cage structures have been constructed by designing specific protein domains to self-assemble as atomically precise protein building blocks in defined geometries.
Calculations using density functional theory have demonstrated that graphene can be made piezoelectric by adsorbing atoms or molecules on one surface, or by adsorbing different atoms or molecules on each surface.
New computational methods to explore the rapidly expanding collection of high resolution three-dimensional RNA structures reveal new RNA structural motifs, identifying additional building blocks for complex RNA nanostructures.
A set of machine learning programs can now predict properties of small organic molecules as accurately as can calculations based upon the Schrödinger equation, but in milliseconds rather than hours.