Light‐Stimulatable Molecules/Nanoparticles Networks for Switchable Logical Functions and Reservoir Computing

The fabrication and electron transport properties of nanoparticles self‐assembled networks (NPSAN) of molecular switches (azobenzene derivatives) interconnected by Au nanoparticles are reported, and optically driven switchable logical operations associated to the light‐controlled switching of the molecules are demonstrated. The switching yield is up to 74%. It is also demonstrated that these NPSANs are prone to light‐stimulable reservoir computing. The complex nonlinearity of electron transport and dynamics in these highly connected and recurrent networks of molecular junctions exhibits rich high harmonics generation (HHG) required for reservoir computing approaches. Logical functions and HHG are controlled by the isomerization of the molecules upon light illumination. These results, without direct analogs in semiconductor devices, open new perspectives to molecular electronics in unconventional computing.

[1]  D. Vuillaume,et al.  Negative Differential Resistance, Memory, and Reconfigurable Logic Functions Based on Monolayer Devices Derived from Gold Nanoparticles Functionalized with Electropolymerizable TEDOT Units , 2017, 1704.08629.

[2]  F. Overney,et al.  Comparative study of single and multi domain CVD graphene using large‐area Raman mapping and electrical transport characterization , 2016 .

[3]  N. Clément,et al.  A 17 GHz molecular rectifier , 2016, Nature Communications.

[4]  Celestine Preetham Lawrence,et al.  Evolution of a designless nanoparticle network into reconfigurable Boolean logic. , 2015, Nature nanotechnology.

[5]  S. Brown,et al.  Neuromorphic behavior in percolating nanoparticle films. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  D. Vuillaume,et al.  High Conductance Ratio in Molecular Optical Switching of Functionalized Nanoparticle Self-Assembled Nanodevices , 2015, 1509.03887.

[7]  A. Stemmer,et al.  Contact transfer length investigation of a 2D nanoparticle network by scanning probe microscopy , 2015, Nanotechnology.

[8]  Chuancheng Jia,et al.  Carbon Electrode-Molecule Junctions: A Reliable Platform for Molecular Electronics. , 2015, Accounts of chemical research.

[9]  Eric J. Sandouk,et al.  Atomic switch networks—nanoarchitectonic design of a complex system for natural computing , 2015, Nanotechnology.

[10]  A. Dhirani,et al.  Conductance of molecularly linked gold nanoparticle films across an insulator-to-metal transition: From hopping to strong Coulomb electron-electron interactions and correlations , 2015 .

[11]  S. J. van der Molen,et al.  Ordered nanoparticle arrays interconnected by molecular linkers: electronic and optoelectronic properties. , 2015, Chemical Society reviews.

[12]  C. Schönenberger,et al.  High-yield fabrication of nm-size gaps in monolayer CVD graphene. , 2014, Nanoscale.

[13]  Julian Francis Miller,et al.  Evolution-in-materio: evolving computation in materials , 2014, Evolutionary Intelligence.

[14]  Masakazu Aono,et al.  A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing , 2013, Nanotechnology.

[15]  Enhancing the Molecular Signature in Molecule‐Nanoparticle Networks Via Inelastic Cotunneling , 2013, Advanced materials.

[16]  Valeriu Beiu,et al.  Aspects of computing with locally connected networks , 2012 .

[17]  Adam Z. Stieg,et al.  Neuromorphic Atomic Switch Networks , 2012, PloS one.

[18]  Alberto Salleo,et al.  Optically switchable transistor via energy-level phototuning in a bicomponent organic semiconductor. , 2012, Nature chemistry.

[19]  G. Xu,et al.  Chemical controlled reversible gold nanoparticles dissolution and reconstruction at room-temperature. , 2012, Chemical communications.

[20]  M. Mayor,et al.  Negative differential photoconductance in gold nanoparticle arrays in the Coulomb blockade regime. , 2012, ACS nano.

[21]  Audrius V. Avizienis,et al.  Emergent Criticality in Complex Turing B‐Type Atomic Switch Networks , 2012, Advanced materials.

[22]  S. Bégin-Colin,et al.  Co-tunneling enhancement of the electrical response of nanoparticle networks. , 2012, Small.

[23]  Dominique Vuillaume,et al.  Oligothiophene-derivatized azobenzene as immobilized photoswitchable conjugated systems. , 2010, Chemical communications.

[24]  Bosiljka Tadić,et al.  Modeling collective charge transport in nanoparticle assemblies , 2010, Journal of physics. Condensed matter : an Institute of Physics journal.

[25]  Gregory S. Snider,et al.  ‘Memristive’ switches enable ‘stateful’ logic operations via material implication , 2010, Nature.

[26]  K. Smaali,et al.  High on-off conductance switching ratio in optically-driven self-assembled conjugated molecular systems. , 2010, ACS nano.

[27]  C. Schönenberger,et al.  Cyclic conductance switching in networks of redox-active molecular junctions. , 2010, Nano letters.

[28]  Shuangxi Xing,et al.  Probing the kinetics of ligand exchange on colloidal gold nanoparticles by surface-enhanced Raman scattering. , 2010, Dalton transactions.

[29]  M. Calame,et al.  Surface Plasmon Enhanced Photoconductance of Gold Nanoparticle Arrays with Incorporated Alkane Linkers , 2009, 0902.4807.

[30]  S. J. van der Molen,et al.  Light-controlled conductance switching of ordered metal-molecule-metal devices. , 2009, Nano letters.

[31]  Eugenio Cantatore,et al.  Bottom-up organic integrated circuits , 2008, Nature.

[32]  K. Matsuda,et al.  Conductance Photoswitching of Diarylethene-Gold Nanoparticle Network Induced by Photochromic Reaction , 2008 .

[33]  Al-Amin Dhirani,et al.  Charge transport in nanoparticle assemblies. , 2008, Chemical reviews.

[34]  H. Jaeger,et al.  Sequential tunneling and inelastic cotunneling in nanoparticle arrays , 2008, 0805.3567.

[35]  G. Wendin,et al.  Reconfigurable logic in nanoelectronic switching networks , 2007 .

[36]  C. Schönenberger,et al.  Spectroscopy of Molecular Junction Networks Obtained by Place Exchange in 2D Nanoparticle Arrays , 2007 .

[37]  P. Lehn,et al.  Interharmonics: Theory and Modeling , 2007, IEEE Transactions on Power Delivery.

[38]  Ayelet Vilan,et al.  Analyzing Molecular Current-Voltage Characteristics with the Simmons Tunneling Model: Scaling and Linearization , 2007 .

[39]  H. Klauk,et al.  Ultralow-power organic complementary circuits , 2007, Nature.

[40]  C. Schönenberger,et al.  Reversible Formation of Molecular Junctions in 2D Nanoparticle Arrays , 2006 .

[41]  B. Statt,et al.  Metal to insulator transition in films of molecularly linked gold nanoparticles. , 2006, Physical review letters.

[42]  T.B.Tran,et al.  Multiple Cotunneling in Large Quantum Dot Arrays , 2005, cond-mat/0505143.

[43]  Sina Balkir,et al.  Computational paradigm for nanoelectronics: self-assembled quantum dot cellular neural networks , 2005 .

[44]  Harald Haas,et al.  Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication , 2004, Science.

[45]  James M. Tour,et al.  Logic and memory with nanocell circuits , 2003 .

[46]  R. P. Andres,et al.  Self-Assembly of Uniform Monolayer Arrays of Nanoparticles , 2003 .

[47]  Henry Markram,et al.  Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations , 2002, Neural Computation.

[48]  Paul D. Franzon,et al.  Nanocell logic gates for molecular computing , 2002 .

[49]  J. Turkevich,et al.  Coagulation of Colloidal Gold , 2002 .

[50]  Formation of a large-scale Langmuir–Blodgett monolayer of alkanethiol-encapsulated gold particles , 2001 .

[51]  V. Roychowdhury,et al.  Collective computational activity in self-assembled arrays of quantum dots: a novel neuromorphic architecture for nanoelectronics , 1996 .

[52]  Middleton,et al.  Collective transport in arrays of small metallic dots. , 1993, Physical review letters.

[53]  J. Simmons Electric Tunnel Effect between Dissimilar Electrodes Separated by a Thin Insulating Film , 1963 .

[54]  J. Hillier,et al.  A study of the nucleation and growth processes in the synthesis of colloidal gold , 1951 .