About
nanoelectronics, functional materials, device physics, neuromorphic, AI.
Activity
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📚FESTIVAL SPEAKER📚 NIGEL TOON We are so excited to welcome Nigel Toon as a 2024 festival speaker. Nigel is a leading figure in AI and is often…
📚FESTIVAL SPEAKER📚 NIGEL TOON We are so excited to welcome Nigel Toon as a 2024 festival speaker. Nigel is a leading figure in AI and is often…
Liked by Adnan Mehonic
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Congratulations to our Editor-in-Chief, Justin Cooper-White, on his induction as a 2024 TERMIS Fellow of Tissue Engineering & Regenerative Medicine…
Congratulations to our Editor-in-Chief, Justin Cooper-White, on his induction as a 2024 TERMIS Fellow of Tissue Engineering & Regenerative Medicine…
Liked by Adnan Mehonic
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The theme of this year’s Thomas Young Centre energy workshop was data and automation. Many types of data, models and applications were covered, but…
The theme of this year’s Thomas Young Centre energy workshop was data and automation. Many types of data, models and applications were covered, but…
Liked by Adnan Mehonic
Experience
Education
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University College London, U. of London
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Silicon nanoelectronics (non-volatile memories, RRAM, memristors), Silicon photonics (Rare- earth doped silicon structures), Scanning Probe Microscopy (SPM) techniques;
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MSc Thesis: Current transport studies of silicon nanoclusters;
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· Specialized in Automatic Control and Electronic Devices;
Publications
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Nanoscale Transformations in Metastable, Amorphous, Silicon-Rich Silica
Advanced Materials, Wiley
Electrically biasing thin films of amorphous, substoichiometric silicon oxide drives surprisingly large structural changes, apparent as density variations, oxygen movement, and ultimately, emission of superoxide ions. Results from this fundamental study are directly relevant to materials that are increasingly used in a range of technologies, and demonstrate a surprising level of field-driven local reordering of a random oxide network.
Other authorsSee publication -
Nanosecond Analog Programming of Substoichiometric Silicon Oxide Resistive RAM
Nanotechnology, IEEE Transactions on
Slow access time, high power dissipation and a rapidly approaching scaling limit constitute roadblocks for existing non-volatile flash memory technologies. A new family of storage devices is needed. Filamentary resistive RAM (ReRAM) offers scalability, potentially sub-10nm, nanosecond write times and a low power profile. Importantly, applications beyond binary memories are also possible. Here we look at aspects of the electrical response to nanosecond stimuli of intrinsic resistance switching…
Slow access time, high power dissipation and a rapidly approaching scaling limit constitute roadblocks for existing non-volatile flash memory technologies. A new family of storage devices is needed. Filamentary resistive RAM (ReRAM) offers scalability, potentially sub-10nm, nanosecond write times and a low power profile. Importantly, applications beyond binary memories are also possible. Here we look at aspects of the electrical response to nanosecond stimuli of intrinsic resistance switching TiN/SiOx/TiN ReRAM devices. Simple sequences of identical pulses switch devices between two or more states, leading to the possibility of simplified programmers. Impedance mismatch between the device under test and the measurement system allows us to track the electroforming process and confirm it occurs on the nanosecond timescale. Furthermore, we report behavior reminiscent of neuronal synapses (potentiation, depression and short-term memory). Our devices therefore show great potential for integration into novel hardware neural networks.
Other authorsSee publication -
Emulating the Electrical Activity of the Neuron Using a Silicon Oxide RRAM Cell
Frontiers in Neuroscience
In recent years, formidable effort has been devoted to exploring the potential of Resistive RAM (RRAM) devices to model key features of biological synapses. This is done to strengthen the link between neuro-computing architectures and neuroscience, bearing in mind the extremely low power consumption and immense parallelism of biological systems. Here we demonstrate the feasibility of using the RRAM cell to go further and to model aspects of the electrical activity of the neuron. We focus on the…
In recent years, formidable effort has been devoted to exploring the potential of Resistive RAM (RRAM) devices to model key features of biological synapses. This is done to strengthen the link between neuro-computing architectures and neuroscience, bearing in mind the extremely low power consumption and immense parallelism of biological systems. Here we demonstrate the feasibility of using the RRAM cell to go further and to model aspects of the electrical activity of the neuron. We focus on the specific operational procedures required for the generation of controlled voltage transients, which resemble spike-like responses. Further, we demonstrate that RRAM devices are capable of integrating input current pulses over time to produce thresholded voltage transients. We show that the frequency of the output transients can be controlled by the input signal, and we relate recent models of the redox-based nanoionic resistive memory cell to two common neuronal models, the Hodgkin-Huxley (HH) conductance model and the leaky integrate-and-fire model. We employ a simplified circuit model to phenomenologically describe voltage transient generation.
Other authorsSee publication -
Structural changes and conductance thresholds in metal-free intrinsic SiOx resistive random access memory
AIP Publishing
We present an investigation of structural changes in silicon-rich silicon oxide metal-insulator-metal resistive RAM devices. The observed unipolar switching, which is intrinsic to the bulk oxide material and does not involve movement of metal ions, correlates with changes in the structure of the oxide. We use atomic force microscopy, conductive atomic force microscopy, x-ray photoelectron spectroscopy, and secondary ion mass spectroscopy to examine the structural changes occurring as a result…
We present an investigation of structural changes in silicon-rich silicon oxide metal-insulator-metal resistive RAM devices. The observed unipolar switching, which is intrinsic to the bulk oxide material and does not involve movement of metal ions, correlates with changes in the structure of the oxide. We use atomic force microscopy, conductive atomic force microscopy, x-ray photoelectron spectroscopy, and secondary ion mass spectroscopy to examine the structural changes occurring as a result of switching. We confirm that protrusions formed at the surface of samples during switching are bubbles, which are likely to be related to the outdiffusion of oxygen. This supports existing models for valence-change based resistive switching in oxides. In addition, we describe parallel linear and nonlinear conduction pathways and suggest that the conductance quantum, G0, is a natural boundary between the high and low resistance states of our devices.
Other authorsSee publication -
Resistive Switching in Oxides (Book Chapter)
Springer International Publishing
Resistive switching in oxides, the phenomenon whereby the resistance of samples of the matrix can be cycled between states with contrasts of up to several orders of magnitude, has received growing attention over the past decade thanks to the possibility of exploiting this effect in novel memory technologies. Here we summarise the current state of the art in the field, paying particular attention to the underlying mechanisms of switching, which involves the creation of defects in the oxide. We…
Resistive switching in oxides, the phenomenon whereby the resistance of samples of the matrix can be cycled between states with contrasts of up to several orders of magnitude, has received growing attention over the past decade thanks to the possibility of exploiting this effect in novel memory technologies. Here we summarise the current state of the art in the field, paying particular attention to the underlying mechanisms of switching, which involves the creation of defects in the oxide. We also describe potential technological applications.
Other authorsSee publication -
Multiple Diode-Like Conduction in Resistive Switching SiOx-based MIM Devices
Nanotechnology, IEEE Transactions on
Filamentary conduction in resistive switching metal- insulator-metal (MIM) devices is often modeled from the circuital viewpoint using diode-like structures with series resistances. We show in this Research Letter which arrangement of diodes and resistances is compatible with experimental multilevel set and reset I-V characteristics in electroformed TiN/SiOx/TiN structures. The proposed model is based on the solution of the generalized diode equation corresponding to N diodes arranged in…
Filamentary conduction in resistive switching metal- insulator-metal (MIM) devices is often modeled from the circuital viewpoint using diode-like structures with series resistances. We show in this Research Letter which arrangement of diodes and resistances is compatible with experimental multilevel set and reset I-V characteristics in electroformed TiN/SiOx/TiN structures. The proposed model is based on the solution of the generalized diode equation corresponding to N diodes arranged in parallel with a single series resistance. The model is simple yet accurate and it is able to capture the essential features exhibited by the I-V curves in the low and high bias regimes, revealing that a single equation can deal with both the low and high resistance states. An exact expression for the differential conductance suitable for small-signal analysis and circuit simulators is also provided.
Other authorsSee publication -
Microscopic and spectroscopic analysis of the nature of conductivity changes during resistive switching in silicon-rich silicon oxide
Wiley - physica status solidi (c)
Redox-based resistive random access memory (RRAM) has the scope to greatly improve upon current methods of data storage, despite incomplete understandings of material switching mechanisms. We make use of atomic force microscopy (AFM), conductive atomic force microscopy (cAFM) and X-ray photoelectron spectroscopy (XPS) to characterise the physical processes occurring in the changes in conductance state in silicon-rich silicon oxide RRAM. Surface analyses of the insulating oxide layer of our…
Redox-based resistive random access memory (RRAM) has the scope to greatly improve upon current methods of data storage, despite incomplete understandings of material switching mechanisms. We make use of atomic force microscopy (AFM), conductive atomic force microscopy (cAFM) and X-ray photoelectron spectroscopy (XPS) to characterise the physical processes occurring in the changes in conductance state in silicon-rich silicon oxide RRAM. Surface analyses of the insulating oxide layer of our devices are employed to establish the chemical and structural properties of pristine and switched states. The removal of oxygen from the active layer is observed to be concomitant with the appearance of varying degrees of surface distortion and regions of high conductivity in an otherwise-insulating material. These results support the currently-recognised model of a resistive switching mechanism that is reliant upon the migration of oxygen ions under an electrical bias.
Other authorsSee publication -
Multi-channel conduction in redox-based resistive switch modelled using quantum point contact theory
American Institute of Physics - Applied Physics Letters
A simple analytic model for the electron transport through filamentary-type structures in Si-rich silica (SiOx)-based resistive switches is proposed. The model is based on a mesoscopic description and is able to account for the linear and nonlinear components of conductance that arise from both fully and partially formed conductive channels spanning the dielectric film. Channels are represented by arrays of identical scatterers whose number and quantum transmission properties determine the…
A simple analytic model for the electron transport through filamentary-type structures in Si-rich silica (SiOx)-based resistive switches is proposed. The model is based on a mesoscopic description and is able to account for the linear and nonlinear components of conductance that arise from both fully and partially formed conductive channels spanning the dielectric film. Channels are represented by arrays of identical scatterers whose number and quantum transmission properties determine the current magnitude in the low and high resistance states. We show that the proposed model not only reproduces the experimental current-voltage (I-V) characteristics but also the normalized differential conductance (dln(I)/dln(V)-V) curves of devices under test.
Other authorsSee publication -
Quantum Conductance in Silicon Oxide Resistive Memory Devices
Nature Scientific Reports
Resistive switching offers a promising route to universal electronic memory, potentially replacing current technologies that are approaching their fundamental limits. In many cases switching originates from the reversible formation and dissolution of nanometre-scale conductive filaments, which constrain the motion of electrons, leading to the quantisation of device conductance into multiples of the fundamental unit of conductance, G0. Such quantum effects appear when the constriction diameter…
Resistive switching offers a promising route to universal electronic memory, potentially replacing current technologies that are approaching their fundamental limits. In many cases switching originates from the reversible formation and dissolution of nanometre-scale conductive filaments, which constrain the motion of electrons, leading to the quantisation of device conductance into multiples of the fundamental unit of conductance, G0. Such quantum effects appear when the constriction diameter approaches the Fermi wavelength of the electron in the medium – typically several nanometres. Here we find that the conductance of silicon-rich silica (SiOx) resistive switches is quantised in half-integer multiples of G0. In contrast to other resistive switching systems this quantisation is intrinsic to SiOx, and is not due to drift of metallic ions. Half-integer quantisation is explained in terms of the filament structure and formation mechanism, which allows us to distinguish between systems that exhibit integer and half-integer quantisation.
Other authorsSee publication -
OXIDE MEMORY RESISTOR INCLUDING SEMICONDUCTOR NANOPARTICLES (patent)
This invention relates to memory resistors, arrays of memory resistors and a method of making memory resistors. In particular, this invention relates to memory resistors having an on state and an off state, comprising: (a) a first electrode; (b) a second electrode; (c) a dielectric layer disposed between the first and second electrodes; wherein the dielectric layer comprises nanoparticles of semiconductor material, and wherein in the on state nanoparticles form at least one conductive filament…
This invention relates to memory resistors, arrays of memory resistors and a method of making memory resistors. In particular, this invention relates to memory resistors having an on state and an off state, comprising: (a) a first electrode; (b) a second electrode; (c) a dielectric layer disposed between the first and second electrodes; wherein the dielectric layer comprises nanoparticles of semiconductor material, and wherein in the on state nanoparticles form at least one conductive filament encapsulated by the dielectric layer, thereby providing a conductive pathway between the first electrode and the second electrode.
Other authorsSee publication -
Electrically tailored resistance switching in silicon oxide
Nanotechnology - IOP
Resistive switching in a metal-free silicon-based material offers a compelling alternative to existing metal oxide-based resistive RAM (ReRAM) devices, both in terms of ease of fabrication and of enhanced device performance. We report a study of resistive switching in devices consisting of non-stoichiometric silicon-rich silicon dioxide thin films. Our devices exhibit multi-level switching and analogue modulation of resistance as well as standard two-level switching.
We demonstrate…Resistive switching in a metal-free silicon-based material offers a compelling alternative to existing metal oxide-based resistive RAM (ReRAM) devices, both in terms of ease of fabrication and of enhanced device performance. We report a study of resistive switching in devices consisting of non-stoichiometric silicon-rich silicon dioxide thin films. Our devices exhibit multi-level switching and analogue modulation of resistance as well as standard two-level switching.
We demonstrate different operational modes that make it possible to dynamically adjust device properties, in particular two highly desirable properties: nonlinearity and self-rectification. This can potentially enable high levels of device integration in passive crossbar arrays without causing the problem of leakage currents in common line semi-selected devices.
Aspects of conduction and switching mechanisms are discussed, and scanning tunnelling microscopy (STM) measurements provide a more detailed insight into both the location and the dimensions of the conductive filaments.
Other authorsSee publication -
Intrinsic Resistive Switching in Bulk SiOx Films
Cambridge University Press
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Memristors in silicon promising for dense, fast memory
Press Release - BBC News
Researchers have revealed details of a promising way to make a fundamentally different kind of computer memory chip.
The device is a "memristor", a long-hypothesised but only recently demonstrated electronic component. A memristor's electronic properties make it suitable both for computing and for far faster, denser memory. -
Resistive switching in silicon suboxide films
Journal of Applied Physics
We report a study of resistive switching in a silicon-based memristor/resistive RAM (RRAM) device in which the active layer is silicon-rich silica. The resistive switching phenomenon is an intrinsic property of the silicon-rich oxide layer and does not depend on the diffusion of metallic ions to form conductive paths. In contrast to other work in the literature, switching occurs in ambient conditions, and is not limited to the surface of the active material. We propose a switching mechanism…
We report a study of resistive switching in a silicon-based memristor/resistive RAM (RRAM) device in which the active layer is silicon-rich silica. The resistive switching phenomenon is an intrinsic property of the silicon-rich oxide layer and does not depend on the diffusion of metallic ions to form conductive paths. In contrast to other work in the literature, switching occurs in ambient conditions, and is not limited to the surface of the active material. We propose a switching mechanism driven by competing field-driven formation and current-driven destruction of filamentary conductive pathways. We demonstrate that conduction is dominated by trap assisted tunneling through noncontinuous conduction paths consisting of silicon nanoinclusions in a highly nonstoichiometric suboxide phase. We hypothesize that such nanoinclusions nucleate preferentially at internal grain boundaries in nanostructured films. Switching exhibits the pinched hysteresis I/V loop characteristic of memristive systems, and on/off resistance ratios of 104:1 or higher can be easily achieved. Scanning tunneling microscopy suggests that switchable conductive pathways are 10 nm in diameter or smaller. Programming currents can be as low as 2 μA, and transition times are on the nanosecond scale.
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Honors & Awards
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MIT TR 35 Innovators Under 35
MIT Technology Review
https://www.technologyreview.com/innovator/adnan-mehonic/
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Royal Academy of Engineering Research Fellowship 2017 - 2022
Royal Academy of Engineering
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UCL Business One-to-Watch Award 2015
UCL Enterprise
The UCL Awards for Enterprise honour the efforts and accomplishments of UCL’s innovative and entrepreneurial academics and students. The awards ceremony and reception highlight UCL as a leading hub of innovation and commercial activity, while bringing together academics with businesses and investors.
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Among Top 3 Best Recently Graduated PhD, UCL, EE Department
UCL
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Oxford Instruments Award for the best UCL MSc in Nanotechnology
Oxford Instruments
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UCL Overseas Research Scholarships
UCL
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Golden Award Badge awarded by University of Sarajevo (for the best student - Faculty of Electrical Engineering)
University of Sarajevo
Languages
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English
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Bosnian
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Organizations
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Frontiers in Materials
Review Editor
- Presenthttp://journal.frontiersin.org/journal/materials
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Institute of Physics
Member
- Presenthttp://www.iop.org
More activity by Adnan
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How long does it take to improve memristor endurance from 10 cycles to 1 billion? For us, it took 10 years. In 2014, we published our first paper on…
How long does it take to improve memristor endurance from 10 cycles to 1 billion? For us, it took 10 years. In 2014, we published our first paper on…
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delighted to announce Li Minghao, my first student at UCL, has successfully completed his PhD. Minghao's PhD research on "in-situ on-chip…
delighted to announce Li Minghao, my first student at UCL, has successfully completed his PhD. Minghao's PhD research on "in-situ on-chip…
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My brilliant collaborator Dr.Chiara Gattinoni in King's College London Physics department has an exciting PhD Opportunity, focusing on ultrathin…
My brilliant collaborator Dr.Chiara Gattinoni in King's College London Physics department has an exciting PhD Opportunity, focusing on ultrathin…
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I am excited to share our article "Uncovering fast solid-acid proton conductors based on dynamics of polyanion groups and proton bonding strength" in…
I am excited to share our article "Uncovering fast solid-acid proton conductors based on dynamics of polyanion groups and proton bonding strength" in…
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APL Machine Learning is proud to sponsor the Best Poster Award at the 7th Thomas Young Centre #EnergyMaterials workshop: from data to discovery of…
APL Machine Learning is proud to sponsor the Best Poster Award at the 7th Thomas Young Centre #EnergyMaterials workshop: from data to discovery of…
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The Bosnia and Herzegovina team at the International Mathematics Olympiad, held in Bath, UK, last week, landed a historic success by winning 3 golds,…
The Bosnia and Herzegovina team at the International Mathematics Olympiad, held in Bath, UK, last week, landed a historic success by winning 3 golds,…
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This year, the high school team from BiH achieved a historic result at the International Mathematics Olympiad (#IMO). Many years ago, I competed in…
This year, the high school team from BiH achieved a historic result at the International Mathematics Olympiad (#IMO). Many years ago, I competed in…
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Excited to announce that from October 2024, I will become the founding director of Imperial College London's Early Career Researcher Institute. We…
Excited to announce that from October 2024, I will become the founding director of Imperial College London's Early Career Researcher Institute. We…
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After lots of hard work by Erik Agrell and Magnus Karlsson and lots of others - the Roadmap on Optical Communications is now out!…
After lots of hard work by Erik Agrell and Magnus Karlsson and lots of others - the Roadmap on Optical Communications is now out!…
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We need to talk about failure. I don't mean failing to hit your quota, missing your stretch goal, flubbing your presentation to the board, not…
We need to talk about failure. I don't mean failing to hit your quota, missing your stretch goal, flubbing your presentation to the board, not…
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New technical papers recently added to Semiconductor Engineering’s library. https://lnkd.in/gqtzQEJN #semiconductor #neuromorphic #EDA #DRAM…
New technical papers recently added to Semiconductor Engineering’s library. https://lnkd.in/gqtzQEJN #semiconductor #neuromorphic #EDA #DRAM…
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I’ve got myself a ride for #RSS2024. Thanks Unitree Robotics!
I’ve got myself a ride for #RSS2024. Thanks Unitree Robotics!
Liked by Adnan Mehonic
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Akademija nauka i umjetnosti Bosne i Hercegovine (ANUBiH) s ponosom objavljuje da je domaći član ANUBiH-a Ahmed Kovacevic dobitnik prestižne nagrade…
Akademija nauka i umjetnosti Bosne i Hercegovine (ANUBiH) s ponosom objavljuje da je domaći član ANUBiH-a Ahmed Kovacevic dobitnik prestižne nagrade…
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I will be attending the [ICML] Int'l Conference on Machine Learning in Vienna 🇦🇹 next week! The ICML is a premier annual event for researchers…
I will be attending the [ICML] Int'l Conference on Machine Learning in Vienna 🇦🇹 next week! The ICML is a premier annual event for researchers…
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Enjoying a swim in San Sebastian Bay after learning so much in the symposium on the Fundamentals of Ferroelectrics at the Biennial of Physics. I had…
Enjoying a swim in San Sebastian Bay after learning so much in the symposium on the Fundamentals of Ferroelectrics at the Biennial of Physics. I had…
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