Marco A. Villena holds a PhD (with honors) in Physics and Space Science at the University of Granada, Spain, 2015. His thesis focused on the modeling and development of novel simulation tools for RRAM (Resistive Random Access Memories) devices called SIM2RRAM.
Now, he is a senior postdoctoral researcher at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He obtained this position after spending several years working as a physicist/scientist at Applied Materials in Reggio Emilia, Italy. In this period in the industry, he was involved in the development of the simulation tool GINESTRA. Previously, he was a Postdoctoral Researcher at Soochow University, Suzhou, China, and a postdoctoral fellow at Stanford University, California, USA. His research interests focus on the development of new physical models and simulation tools for RRAM devices based on 2D materials. In addition, he has designed new methods of automatic analysis for the experimental measurements of these devices.
University of Granada (Spain)
University of Granada (Spain)
University of Granada
PhD in Physics
Thesis: "Study, modeling and simulation of RRAM memories"
“Methods and advanced techniques in Physics”
Bachelor degree in Physics
University of Michigan, USA
Stanford University, USA
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KAUST, Saudi Arabia
2019 - 2022
Applied Materials, Italy
2017 - 2019
Stanford University, USA
2016 - 2019
Soochow University, China
University of Granada, Spain
Physicist/scientist at R&D department
Involved in the development of GINESTRA software.
External researcher collaborator
Winner of the Suzhou NANO-CIC postdoctoral fellow
Prize: 30,000 USD
PhD thesis reviewer for the University of Valladolid
Member of the technical committee of IPFA 2019
Reviewer of Scientific Reports, Nature Publishing group and IEEE Publishing group.
Leader of discussion group. The IEEE IIRW workshop www.iirw.org
Chair of organizing committee. ChinaRRAM workshop, Suzhou, China
Member, Research Network “Institute of Electrical and Electronics Engineers”
Member, Network of Researchers China-Spain. “RICE”
Scientific Software Developed
Simulation tool for RRAM memories based on Finite-elements methods.
Split-DOS for VASP
Software for managing and analysis of density of state data calculated by VASP.
SCIR (Structure Classification by Image Recognition)
Software for automatic classification of crystallographic structures by image recognition techniques.
Software for the automatic detection of Reset event during I-V curve measurement on memristor. This software has been designed to work with Keysight B1500A semiconductor parameter analyzer. (software for internal use only at Mario Lanza’s group, Soochow University)
Marco A. Villena, Blanka Magyari-Köpe, Yoshio Nishi, Paul C. McIntyre, Mario Lanza, "Effect of IrO2 spatial distribution on the stability and charge distribution of Ti1-xIrxO2 alloys," Chemistry of Materials 31(21), 8742-8751 (2019).
M. A. Villena, M. B. González, F. Jimenez-Molinos, F. Campabadal, J. B. Roldan, J. Suñe, E. Romera and E. Miranda, “Simulation of thermal reset transitions in resistive switching memories including quantum effects,” J. Appl. Phys. 115, 214504 (2014).
M. A. Villena, F. Jimenez-Molinos, J. B. Roldan, J. Suñe, S. Long, X. Lian, F. Gamiz and M. Liu, “An in-depth simulation study of thermal reset transitions in resistive switching memories,” J. Appl. Phys. 114, 144505 (2013).
Fei Hui, Marco Villena, Wenjing Fang, Ang-Yu Lu, Jing Kong, Yuanyuan Shi, Xu Jing, Kaichen Zhu, and Mario Lanza, "Synthesis of large-area multilayer hexagonal boron nitride sheets on iron substrates and its use in resistive switching devices," 2D materials, 5(3), 031011 (2018).
Mario Lanza, H.-S. Philip Wong, Eric Pop, Daniele Ielmini, Dimitri Strukov, Brian C. Regan, Luca Larcher, Marco A. Villena, Jianghua J. Yang, Ludovic Goux, Attilio Belmonte, Yuchao Yang, Francesco M. Puglisi, Jinfeng Kang, Blanka Magyari-Köpe, Eilam Yalon, Anthony Kenyon, Mark Buckwell, Adnan Mehonic, Alexander Shluger, Haitong Li, Tuo-Hung Hou, Boris Hudec, Deji Akinwande, Ruijing Ge, Stefano Ambrogio, Juan B. Roldan, Enrique Miranda, Jordi Suñe, Kin Leong Pey, Xing Wu, Nagarajan Raghavan, Ernest Wu, Wei D. Lu, Gabriele Navarro, Weidong Zhang, Huaqiang Wu, Runwei Li, Alexander Holleitner, Ursula Wurstbauer, Max Lemme, Ming Liu, Shibing Long, Qi Liu, Hangbing Lv, Andrea Padovani, Paolo Pavan, Ilia Valov, Xu Jing, Tingting Han, Kaichen Zhu, Shaochuan Chen, Fei Hui, Yuanyuan Shi, "Recommended methods to study resistive switching devices," Advanced Electronic Materials, 1800143 (2018).
1. Fabricación, caracterización, simulación, modelado de dispositivos de conmutación resistiva
Entity: Ministerio de Economía, Industria y Competitividad (Spain)
From: 01/01/2018 to 31/12/2020
Researcher in charge: Juan Bautista Roldán Aranda and Francisco Jiménez Molinos
Funding: 114,950 €
Design & Simulation
Visual Basic .NET
Ginestra (involved in the development of this tool)
Linux (SUSE, Ubuntu)