Massively parallel computing on an organic molecular layer

Bandyopadhyay, Anirban; Pati, Ranjit; Sahu, Satyajit; Peper, Ferdinand; Fujita, Daisuke

doi:10.1038/nphys1636

Cited by 77 publications

(59 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to these rules, scaling by a factor k ([1) reduces device dimensions by a factor 1=k, and this allows the voltage, current, capacitance, and delay time of a transistor to decrease by the same factor 1=k if the doping concentration is increased by the factor k. Since the power requirement of the device then reduces by the factor 1=k 2 , and the number of devices that can be placed on the same area increases by roughly the factor k 2 , the power dissipation per unit area would stay constant between generations. Dennard's scaling rules had provided a free lunch for engineers for decades, as the decreased transistor sizes delivered by Moore's Law automatically led to better performance in terms of speed and power consumption.…”

Section: A Brief History Of Moore's Lawmentioning

confidence: 99%

“…Materials that implement CAs in a natural way are hard to find in nature, though some examples approaching computation ability have been demonstrated [2,23]. A problem with such rules is that physical systems tend to converge to a state with minimal potential energy, so it is difficult to continue a computation for an extended time in such systems.…”

Section: Merging Of Logic and Memorymentioning

confidence: 99%

See 1 more Smart Citation

The End of Moore’s Law: Opportunities for Natural Computing?

Peper

2017

New Gener. Comput.

Self Cite

View full text Add to dashboard Cite

The impending end of Moore's Law has started a rethinking of the way computers are built and computation is done. This paper discusses two directions that are currently attracting much attention as future computation paradigms: the merging of logic and memory, and brain-inspired computing. Natural computing has been known for its innovative methods to conduct computation, and as such may play an important role in the shaping of the post-Moore era.

show abstract

Section: A Brief History Of Moore's Lawmentioning

confidence: 99%

Section: Merging Of Logic and Memorymentioning

confidence: 99%

The End of Moore’s Law: Opportunities for Natural Computing?

Peper

2017

New Gener. Comput.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To resolve this issue we argued for a nano-platform [ 5 ] and an associated computing. [ 6 ] Here, we advance the nano-platform concept by discarding the old perception that dendrimers are dynamically random and cannot produce an organized potential fl uctuation essential for molecular programming.…”

Section: Introductionmentioning

confidence: 99%

Nano Molecular‐Platform: A Protocol to Write Energy Transmission Program Inside a Molecule for Bio‐Inspired Supramolecular Engineering

Ghosh

Dutta

Sahu

et al. 2013

Adv Funct Materials

Self Cite

View full text Add to dashboard Cite

In a coded self‐assembly, a simple code is written in the molecule, which self‐assembles the molecules into a fractal like structure, which acts as a seed for the next step. As the molecule turns into a complex seed, the code transforms into another form and several seeds self‐assemble into another structure, which acts as a seed for the next step. Until now, this technology was considered as a prerogative of nature. Here, a dendritic network is used to write a basic code by synthetically attaching 32 molecular rotors and doping two controller molecules in its cavity. The code live, which is an energy transmission path in the molecule, is imaged. When the energy transmission path or code is triggered, a series of products generate one after another spontaneously. Two examples are: i) dendritic seed (5–6 nm)→paired nanowire (≈12 nm)→nanowire (≈200 nm)→microwire (500 nm)→wire like rod (1–2 μm)→jelly→rectangular sheet (5 μm). ii) dendritic seed→nano‐sphere (20 nm)→micro‐sphere (500 nm)→large balls(1 μm)→oval shape rod (5–10 μm)→Y, L or T shaped rod assembly. The energy level interactions are tracked using spectroscopy how exactly a directed energy transfer code generates multi‐step synthesis from nano to the visible scale.

show abstract

“…There is therefore a world-wide intense research effort aiming at computing at the nano-scale, using both classical and quantum computing approaches (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17). These advances are made possible by a complementary effort on building atomic devices and memory (3,(18)(19)(20)(21)(22)(23).…”

mentioning

confidence: 99%

Integrated logic circuits using single-atom transistors

Mol

Verduijn

Levine

et al. 2011

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Scaling down the size of computing circuits is about to reach the limitations imposed by the discrete atomic structure of matter. Reducing the power requirements and thereby dissipation of integrated circuits is also essential. New paradigms are needed to sustain the rate of progress that society has become used to. Single-atom transistors, SATs, cascaded in a circuit are proposed as a promising route that is compatible with existing technology. We demonstrate the use of quantum degrees of freedom to perform logic operations in a complementary-metal-oxide-semiconductor device. Each SAT performs multilevel logic by electrically addressing the electronic states of a dopant atom. A single electron transistor decodes the physical multivalued output into the conventional binary output. A robust scalable circuit of two concatenated full adders is reported, where by utilizing charge and quantum degrees of freedom, the functionality of the transistor is pushed far beyond that of a simple switch.cascading full adder | CMOS technology | energy and charge quantization I n digital logic circuits, binary information is encoded by monitoring the current, on vs. off, through a transistor that serves as a switch. This concept has been extremely effectively scaled over the last decades and led to the exceptionally dense and low cost integrated circuits that we use today. Decreasing the physical size of the component transistors has largely enabled the miniaturization. The reduction in the size of conventional transistors will shortly face the barrier that on the subnano length scale matter is discrete. The atomistic nature of matter leads to variability in device characteristics, which is the major problem in device downscaling. As we approach the physical limits of two-dimensional circuits essentially new paradigms are needed to sustain the rate of progress that our society has become used to. Here we utilize the discrete nature of matter at the atomic scale to offer a viable solution. Deterministic doping (1-3) emerges as a technique that overcomes variability problems (4). Furthermore, single atom doping allows for device functionality that exceeds that of a simple switch. This functionality of single-atom transistors, SATs, is robust due to the strong natural confinement of the Coulomb potential of the dopant. We connect the basic units, the SATs, with gain thereby allowing for a scalable circuit. It is because of the nature of SATs that our innovative Si device and experimental design can significantly accelerate the transfer of the new paradigm for device architecture from the laboratory to the R and D department.Increasing integration and logical complexity and shrinking the size and the power requirements of computational networks are key desiderata of current information technology. There is therefore a world-wide intense research effort aiming at computing at the nano-scale, using both classical and quantum computing approaches (5-17). These advances are made possible by a complementary effort on building atomic device...

show abstract

Massively parallel computing on an organic molecular layer

Cited by 77 publications

References 31 publications

The End of Moore’s Law: Opportunities for Natural Computing?

The End of Moore’s Law: Opportunities for Natural Computing?

Nano Molecular‐Platform: A Protocol to Write Energy Transmission Program Inside a Molecule for Bio‐Inspired Supramolecular Engineering

Integrated logic circuits using single-atom transistors

Contact Info

Product

Resources

About