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Dive into the research topics where Julien Tranchant is active.

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Featured researches published by Julien Tranchant.


Advanced Materials | 2013

Universal Electric-Field-Driven Resistive Transition in Narrow-Gap Mott Insulators

Pablo Stoliar; Laurent Cario; Etienne Janod; Benoit Corraze; Catherine Guillot-Deudon; Sabrina Salmon-Bourmand; V. Guiot; Julien Tranchant; Marcelo Rozenberg

A striking universality in the electric-field-driven resistive switching is shown in three prototypical narrow-gap Mott systems. This model, based on key theoretical features of the Mott phenomenon, reproduces the general behavior of this resistive switching and demonstrates that it can be associated with a dynamically directed avalanche. This model predicts non-trivial accumulation and relaxation times that are verified experimentally.


Journal of Physics D | 2014

Deposition of GaV4S8 thin films by H2S/Ar reactive sputtering for ReRAM applications

Julien Tranchant; A. Pellaroque; Etienne Janod; Benoit Angleraud; Benoit Corraze; Laurent Cario; Marie-Paule Besland

The chalcogenide compound GaV4S8 is promising for applications as active materials in non-volatile memory applications. We report here a comprehensive study on the thin-film deposition of this compound using a stoichiometric GaV4S8 target and H2S/Ar reactive sputtering. We show that a fraction of 0.5% to 1% of H2S in the reactive plasma is sufficient to compensate the sulfur deficiency that appears in films deposited in pure Ar plasma. This reactive plasma method allows avoiding the addition of elemental sulfur during the annealing treatment required to obtain a crystallized and stoichiometric GaV4S8 layer. A simple Au/GaV4S8/Au structure presents a resistive switching behaviour well suited for non-volatile memory applications.


Key Engineering Materials | 2014

Electric Pulse Induced Resistive Switching in the Narrow Gap Mott Insulator GaMo4S8

Madec Querré; Benoit Corraze; Etienne Janod; Marie Paule Besland; Julien Tranchant; M. Potel; Stéphane Cordier; Valérie Bouquet; Maryline Guilloux-Viry; Laurent Cario

We report here on resistive switching measurements on GaMo4S8 a lacunar spinel compound with tetrahedral Mo4 clusters filled with 11 electrons. Alike other clustered lacunar spinel compounds with 7 or 8 electrons per cluster, this narrow gap Mott Insulator exhibits both a volatile and a non-volatile unipolar resistive switching. We found that the volatile resistive switching appears above a threshold electric field in the 7 kV/cm range. For electric field much larger than this threshold, the resistive switching becomes non-volatile. Successive electric pulses allow switching back and forth between high and low resistance states. All these results demonstrate that the narrow gap Mott insulator compound GaMo4S8 could be a relevant candidate for a new type of non-volatile memory based on an electric field induced breakdown of the Mott insulating state.


Journal of Applied Physics | 2018

Mott insulators: A large class of materials for Leaky Integrate and Fire (LIF) artificial neuron

Coline Adda; Benoit Corraze; Pablo Stoliar; Pascale Diener; Julien Tranchant; Agathe Filatre-Furcate; Marc Fourmigué; Dominique Lorcy; Marie-Paule Besland; Etienne Janod; Laurent Cario

A major challenge in the field of neurocomputing is to mimic the brains behavior by implementing artificial synapses and neurons directly in hardware. Toward that purpose, many researchers are exploring the potential of new materials and new physical phenomena. Recently, a new concept of the Leaky Integrate and Fire (LIF) artificial neuron was proposed based on the electric Mott transition in the inorganic Mott insulator GaTa4Se8. In this work, we report on the LIF behavior in simple two-terminal devices in three chemically very different compounds, the oxide (V0.89Cr0.11)2O3, the sulfide GaMo4S8, and the molecular system [Au(iPr-thiazdt)2] (C12H14AuN2S8), but sharing a common feature, their Mott insulator ground state. In all these devices, the application of an electric field induces a volatile resistive switching and a remarkable LIF behavior under a train of pulses. It suggests that the Mott LIF neuron is a general concept that can be extended to the large class of Mott insulators.A major challenge in the field of neurocomputing is to mimic the brains behavior by implementing artificial synapses and neurons directly in hardware. Toward that purpose, many researchers are exploring the potential of new materials and new physical phenomena. Recently, a new concept of the Leaky Integrate and Fire (LIF) artificial neuron was proposed based on the electric Mott transition in the inorganic Mott insulator GaTa4Se8. In this work, we report on the LIF behavior in simple two-terminal devices in three chemically very different compounds, the oxide (V0.89Cr0.11)2O3, the sulfide GaMo4S8, and the molecular system [Au(iPr-thiazdt)2] (C12H14AuN2S8), but sharing a common feature, their Mott insulator ground state. In all these devices, the application of an electric field induces a volatile resistive switching and a remarkable LIF behavior under a train of pulses. It suggests that the Mott LIF neuron is a general concept that can be extended to the large class of Mott insulators.


international memory workshop | 2017

An Artificial Neuron Founded on Resistive Switching of Mott Insulators

Coline Adda; Julien Tranchant; Pablo Stoliar; Benoit Corraze; Etienne Janod; Roger Llopis; Marie-Paule Besland; Luis E. Hueso; Laurent Cario

Narrow-gap Mott insulators exhibit under electric field a resistive switching related to the formation of a conducting filamentary path made of metastable metallic domains. When this effect is non-volatile it can be used to build up a new type of Resistive Random Access Memory called Mott memory. But we show here that when the resistive switching remains volatile it is of great interest for neuromorphic applications different than artificial synapses implemented by the so-called Memristors. Specifically, we show that under electric field the dynamics of the creation and destruction of the metastable metallic domains implement the three basic functions Leaky Integrate and Fire of artificial neurons. The central result of the present work is therefore to demonstrate that a simple two terminal device made of Mott insulator can be considered as an analogue of an artificial Leaky Integrate and Fire neuron.


international memory workshop | 2015

From Resistive Switching Mechanisms in AM4Q8 Mott Insulators to Mott Memories

Julien Tranchant; Etienne Janod; Benoit Corraze; Marie-Paule Besland; Laurent Cario

The application of electrical pulses on Mott insulators AM4Q8 (A = Ga, Ge ; M = V, Nb, Ta, Mo; Q = S, Se) induces a new phenomenon of resistive switching (RS). Appearing above threshold electric fields of a few kV/cm, this volatile transition stabilizes into a non volatile RS for higher electric fields. A pulse protocol alternating short multi-pulses of high voltage with long single pulses of low voltage enables to control this reversible RS in crystals and thin films. The resulting cycling performances obtained on GaV4S8 miniaturized devices demonstrate the interest of these compounds towards Mott memory applications.


Advanced Functional Materials | 2015

Resistive Switching in Mott Insulators and Correlated Systems

Etienne Janod; Julien Tranchant; Benoit Corraze; Madec Querré; Pablo Stoliar; M. J. Rozenberg; T. Cren; D. Roditchev; Vinh Ta Phuoc; Marie-Paule Besland; Laurent Cario


Advanced Functional Materials | 2017

A Leaky‐Integrate‐and‐Fire Neuron Analog Realized with a Mott Insulator

Pablo Stoliar; Julien Tranchant; Benoit Corraze; Etienne Janod; Marie-Paule Besland; Federico Tesler; M. J. Rozenberg; Laurent Cario


Thin Solid Films | 2013

Electrical characterizations of resistive random access memory devices based on GaV4S8 thin layers

Julien Tranchant; Etienne Janod; Laurent Cario; Benoit Corraze; Emeline Souchier; Jean-Louis Leclercq; Pierre Cremillieu; Philippe Moreau; Marie-Paule Besland


Physica Status Solidi (a) | 2015

Control of resistive switching in AM4Q8 narrow gap Mott insulators: A first step towards neuromorphic applications

Julien Tranchant; Etienne Janod; Benoit Corraze; Pablo Stoliar; Marcelo Rozenberg; Marie-Paule Besland; Laurent Cario

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