![]() | Review waiting, please be patient.
This may take 3 months or more, since drafts are reviewed in no specific order. There are 2,604 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
Submission declined on 11 March 2024 by Ldm1954 (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. | ![]() |
Submission declined on 27 September 2023 by Timtrent (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. Declined by Timtrent 10 months ago. | ![]() |
Comment: Please remove the substantial bragging, this does not belong. Also please read carefully the requirements for notability in WP:NPROF and the requirements in WP:BLP for biographies. Ldm1954 (talk) 07:50, 4 July 2024 (UTC)
Comment: The article makes many claims about his notability. If the wider community accepted them he would have a massive h-factor and a string of major awards. However, he has neither. This indicates that the general community is not convinced, so as a reviewer, I am also not. I don't think he is close. Ldm1954 (talk) 12:16, 11 March 2024 (UTC)
Victor Erokhin | |
---|---|
Born | Victor Erokhin January 1, 1960 |
Citizenship | Italian, Russian |
Alma mater | Moscow Institute of Physics and Technology |
Known for |
|
Awards |
|
Scientific career | |
Fields | Electrical engineering Electronics and communication engineering |
Institutions | CNR, Parma |
Victor Erokhin is an Italian-Russian physicist and material scientist, known for his works in organic memristive devices, and the inventor of the first in the world device that is described via universal memristive phenomena memristive device. He is a Research Director of the CNR-IMEM (CNR - Istituto dei Materiali per l'Elettronica ed il Magnetismo). Dr. Erokhin's work ranges from neuromorphic applications of organic-based memristive devices to the realization of polymeric smart drug delivery systems. His group demonstrated the capability of reproducing the nervous system of the snail Lymnaea stagnal, the realization of a hardware version of an artificial neural network (single and multilayer perceptron)..[1], the realization of a functional connection between two cells of the rat brain slice [2] and in 2023 Victor Erokin and Max Talanov and their teams demonstrated the proof of concept of the feedback-driven self-learning segment of the spinal CPG as the piece of hardware [3].
In the drug delivery application, his group reported the realization of microcapsules realized employing Layer by layer method, capable of loading and selectively realizing their content depending on the pH, and of targeting by magnetic force.
Main Scientific Achivements
editDevelopment of processes for the fabrication of thin film materials with active proteins for biosensors and bioelectronics. Synthesis of inorganic semiconductor nanoparticles in organic matrices for the use in quantum and single electron devices. Since 2005, the activity goes in two main directions: elements and systems for bio-inspired computing and nanoengineered polymeric capsules for targeted drug delivery and induced controlled release.
In the first direction the following breakthroughs were done:
- 2005 – First realization of the organic memristive device (the paper is sited about 100 times);
- 2007 – 2009 – Direct real-time description of the organic memristive device with IR and microRaman spectroscopy and X-ray fluorescence using synchrotron radiation
- 2008 – 2009 – realization of circuits and systems with adaptive properties, based on elements (memristors), combining memory and processing properties;
- 2010 – 2011 – realization of circuit, mimicking learning of pond snail;
- 2009 – 2014 – stochastic polymeric networks with learning capabilities;
- 2012 – 2016 – logic gates with memory;
- 2013 – 2016 – systems, capable to solve optimization tasks, based on slime mould Physarum polycephalum, grown on functional polymeric layers;
- 2015 – first hardware realization of elementary perceptron, based on organic memristors;
- 2016 – first hardware realization of memristor-based double-layer perceptron;
- 2016 – 2017 – interfacing live nervous cells by organic memristive devices: first step to the synapse prosthesis
In the second direction the following breakthroughs were done:
- 2008 – 2009 – functionalization of the nanoengineered polymeric capsules with bacteriorhodopsin for the induced pore formation with weak visible light;
- 2009 – 2013 – detailed investigation of the pore formation in the capsule shell and triggered release with the use of synchrotron radiation;
- 2014 – 2014 – introduction of the concept of the biochemical computer programming with nanoengineered capsules;
- 2013 – 2016 – realization of capsules with disease-triggered release.
Education
editDoctor of Physical and Mathematical Sciences (Speciality – Physics of Condensed Matter), Kurchatov Institute, Moscow, 2018. Thesis title: Organic memristive devices and neuromorphic systems”.
Ph.D. in Physical and Mathematical Sciences (Speciality - Crystallography and Physics of Crystals), Institute of Crystallography, Russian Academy of Sciences, Moscow, 1990. Thesis title: "Deposition and Small-Angle X-Ray study of Protein Langmuir-Blodgett Films". Supervisors: Prof. L. A. Feigin, Dr. Yu. M. Lvov. Diploma ФМ 039 156 dal 19/09/1990
M.Sc. in Physics, Moscow Physical Technical Institute, 1983. Thesis title: "Radiation and thermal degradation of LiNbO3 during ion beam aching" Supervisor: Dr. V. P. Vyrelkin ("Delta" applied research institute, Moscow). Diploma KB N. 290748 dal 30/06/1983 (Moscow Institute of Physics and Technology)
Career
editIn 2006 Victor Erokhin and Marco Fontana fabricated what could be later identified as organic polyaniline (PANI) memristive device two years before R. Stanley Williams from Hewlett Packard announced the discovery of a titanium dioxide memristive device. [4] [5]
Later in 2006 Victor Erokhin and Marco Fontana fabricated the schematic circuit of the adaptive networks composed of eight discrete nonlinear electrochemical elements similar to the nervous system of the snail Lymnaea stagnal comprising synthetic analogues of neurons and synapses. They demonstrated the system's capability for learning with a model of the simplest network composed of eight electrochemical elements. An alternative approach based on the formation of fiber networks was proposed. Authors proposed the approach to fabricate more complex systems with a random distribution of mutual contacts between elements [6].
In 2015 Victor Erokhin in collaboration with Vyacheslav Demin published results of the memristive implementation of the perceptron demonstrating effective training [7].
Later in 2018 Victor Erokhin and Roustem Khazipov demonstrated the memristive synaptic prosthesis connecting two cells of the rat brain slice, not connected naturally by biological synapse. They managed to demonstrate not only the connection but the self-learning capability of the PANI memristive devices similar to biological synapses, paving the way to memristive neuromorphic prosthetics [8]
In 2020 Victor and several groups of scientists worldwide published a comprehensive review of modern approaches on neuro hybrid systems combining spiking memristive and traditional CMOS approaches with biological nervous system [9].
Later in 2023 Victor Erokin and Max Talanov and their respective teams demonstrated the proof of concept of the feedback-driven self-learning segment of the spinal Central Pattern Generator as the piece of hardware [10]
Awards
editBelov Prize (best young scientist research in the field of crystallography and physics of crystals (RussianAcademy of Sciences)) 1990, Moscow Russia
First prize in the scientific concourse of Institute of Crystallography, Russian Academy of Sciences, 1991, Moscow, Russia
Award for the top 20% reviewers of Langmuir in 2009. Letter from Langmuir Editor-in-Chief Prof. David G. Whitten, January 2010.
Certificate of Appreciation for valuable contribution and dedicated sercice in the peer review of manuscripts submitted to ACS Journals, Presented December 2011 to Dr. Victor Erokhin, Ph.D. Signed by Susan King, PhD, Senior Vice president, Journal Publishing Group.
Recognized contributor to American Chemical Society, 2016.
Interesting articles
edit- Electrochemical Control of the Conductivity in an Organic Memristor: A Time-Resolved X-ray Fluorescence Study of Ionic Drift as a Function of the Applied Voltage. (2009) https://doi.org/10.1021/am900464k
- Optimization of an organic memristor as an adaptive memory element. (2009) https://doi.org/10.1063/1.3153944
- Stochastic hybrid 3D matrix: learning and adaptation of electrical properties. (2012) https://doi.org/10.1039/C2JM35064E
- First steps towards realising a double-layer perceptron based on organic memristive devices. (2016) https://doi.org/10.1063/1.4966257
- Polyaniline-based memristive microdevice with high switching rate and endurance. (2018) https://doi.org/10.1063/1.5013929
- Parylene-Based Memristive Devices with Multilevel Resistive Switching for Neuromorphic Applications. (2019) https://doi.org/10.1038/s41598-019-47263-9
- Effects of noise sourcing on organic memristive devices (2020). https://doi.org/10.1016/j.chaos.2020.110319
Patents
edit- V.P. Vyrelkin, V.V. Erokhin, and А.А. Varganov, “Method of the realization of antirefractive coating on ceramic elements”, Russian Patent 3798467/24-10.
- V.P. Vyrelkin, А.А. Varganov, и V.V. Erokhin, “Method of mesa-structure realization on AIIIBV” materials”, Russian Patent 3827612/24-25.
- V.V. Erokhin, R.L. Kayushina, and Y.M. Lvov, “Piezoelectric bio-specific surface-selective sensor – has layers of bivalent metal aliphatic acid salt placed between surface of resonator and biologically active substance, to improve adhesion”, Russian patent SU 1684663-A1. Derwent Primary accession number: 1992-233241.
- S. Vakula, V. Erokhin, C. Nicolini P. Facci, and F. Antolini, “Protein Thin Films and Compositions for Use in their Preparation”, International patent WO/1995/009058 (Publication date 0.6.04.1995).
- S. Vakula, V. Erokhin, C. Nicolini, P. Facci, and F. Antolini, “Protein solubilized in reverse micelles of lipid-having head group with affinity for protein, and ubiform thin films of protein prep. from them, useful in bio-electronics or chromatography”, Patent Number(s): WO9509058-A2; AU9477064-A; WO9509058-A3; EP721380-A1; It1261998-B; JP9512037; IT1273010-B; EP721380-B1; DE69418717-E.
- V. Erokhin, P. Facci, and C. Nicolini, “Thin Film Device”, International Patent, WO/1996/021952 (Publication date: 18.07.1996).
- V. Erokhin, P. Facci, and C. Nicolini, “Langmuir-Blodgett film exhibiting mono-electronic effects – based on nanometer-scale particles of cadmium sulphide”, Patent Number(s): WO9621952-A; WO9621952-A1; Au9644951-A; EP750795-A1, Derwent primary accession number: 1996-342458.
- V. Erokhin and C. Nicolini, Single Electron Element Pat. App. No.GB 9500669.8 Filing date 13.01.95 PCT Filing date 13.01.96
- V. Erokhin, G. Raviele, J. Glatz-Reichenbach, and C. Nicolini, „Diodo interamente organico”, Italian Patent pendine, GE 2002 A 000044 (2002).
- V. Erokhin, G. Raviele, J. Glatz-Reichenbach, and C. Nicolini, “Entirely organic diode”, Patent Number(s): IT1334229-B, Derwent primary accession number: 2006-474059.
- V. Erokhin, G. Raviele, J. Glatz-Reichenbach, and C. Nicolini, Condensatore elettrolitico interamente organico”, Italian Patent pendine, GE 2002 A 000045 (2002).
- V. Erokhin, G. Raviele, J. Glatz-Reichenbach, and C. Nicolini, “Entirely organic electrolytic capacitor”, Patent number(s): IT1333730-B, Derwent primary accession number: 2006-465883.
- S. Carrara and V. Erokhin, “Set of pens for tracing lines with electrical and electro-optical properties for applications in educational games and decoration”, Patent Number(s): IT1334116, Derwent primary accession number: 2006-604758.
References
edit- ^ Demin, V.A.; Erokhin, V.V.; Emelyanov, A.V.; Battistoni, S.; Baldi, G.; Iannotta, S.; Kashkarov, P.K.; Kovolchuk, M.V. (October 2015). "Hardware elementary perceptron based on polyaniline memristive devices". Organic Electronics. 25: 16–20. doi:10.1016/j.orgel.2015.06.015.
- ^ Juzekaeva, Elvira; Nasretdinov, Azat; Battistoni, Silvia; Berzina, Tatiana; Iannotta, Salvatore; Khazipov, Roustem; Erokhin, Victor; Mukhtarov, Marat (2018-11-08). "Coupling Cortical Neurons through Electronic Memristive Synapse". Advanced Materials Technologies. 4. doi:10.1002/admt.201800350.
- ^ Masaev, Dinar; Suleimanova, Alina; Prudnikov, Nikita; Serenko, Mariia; Emelyanov, Andrey; Demin, Vyacheslav; Lavrov, Igor; Talanov, Max; Erokhin, Victor (28 February 2023). "Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern". Frontiers in Neuroscience. 17. doi:10.3389/fnins.2023.1124950. PMC 10011148. PMID 36925742.
- ^ Erokhin, Victor; Fontana, Marco (2 Jul 2008). "Electrochemically controlled polymeric device: a memristor (and more) found two years ago". arxiv.org. arXiv:0807.0333.
- ^ Erokhin, Victor; Berzina, Tatiana; Fontana, Marco (15 March 2005). "Hybrid electronic device based on polyaniline-polyethyleneoxide junction". J. Appl. Phys. 97 (6): 064501–064501–5. Bibcode:2005JAP....97f4501E. doi:10.1063/1.1861508..
- ^ Erokhin, Victor; Berzina, Tatiana; Fontana, Marco (February 2007). "Polymeric elements for adaptive networks". Crystallography Reports. 52 (1): 159–166. Bibcode:2007CryRp..52..159E. doi:10.1134/S106377450701018X. S2CID 98754050.
- ^ Demin, V.A.; Erokhin, V.V.; Emelyanov, A.V.; Battistoni, S.; Baldi, G.; Iannotta, S.; Kashkarov, P.K.; Kovolchuk, M.V. (October 2015). "Hardware elementary perceptron based on polyaniline memristive devices". Organic Electronics. 25: 16–20. doi:10.1016/j.orgel.2015.06.015.
- ^ Juzekaeva, Elvira; Nasretdinov, Azat; Battistoni, Silvia; Berzina, Tatiana; Iannotta, Salvatore; Khazipov, Roustem; Erokhin, Victor; Mukhtarov, Marat (2018-11-08). "Coupling Cortical Neurons through Electronic Memristive Synapse". Advanced Materials Technologies. 4. doi:10.1002/admt.201800350.
- ^ Mikhalov, Alexey; Pimashkin, Alexey; Pigareva, Yana; Gerasimova, Svetlana; Gryaznov, Evgeny; Shchanikov, Sergey; Zuev, Anton; Talanov, Max; Lavrov, Igor; Demin, Vyacheslav; Erokhin, Victor; Lobov, Sergey; Mukhina, Irina; Kazantsev, Victor; Huaqiang, Wu; Spagnolo, Bernardo (28 April 2020). "Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics". Frontiers in Neuroscience. 14: 358. doi:10.3389/fnins.2020.00358. PMC 7199501. PMID 32410943.
- ^ Masaev, Dinar; Suleimanova, Alina; Prudnikov, Nikita; Serenko, Mariia; Emelyanov, Andrey; Demin, Vyacheslav; Lavrov, Igor; Talanov, Max; Erokhin, Victor (28 February 2023). "Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern". Frontiers in Neuroscience. 17. doi:10.3389/fnins.2023.1124950. PMC 10011148. PMID 36925742.
- meet any of the eight academic-specific criteria
- or cite multiple reliable, secondary sources independent of the subject, which cover the subject in some depth
Make sure your draft meets one of the criteria above before resubmitting. Learn about mistakes to avoid when addressing this issue. If the subject does not meet any of the criteria, it is not suitable for Wikipedia.