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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"

Master degree

“Methods and advanced techniques in Physics”

Bachelor degree in Physics



Harvard BOK


LinkedIn Learning


LinkedIn Learning


LinkedIn Learning


LinkedIn Learning


University of Michigan, USA


LinkedIn Learning


Stanford University, USA

Higher Education Teaching Certificate

Grade: 92/100

Communicating with Diplomacy and Tact

Certificate number: AdV7EONteON4s0mgH7_rpbijrrk3

Learning Data Science: Understanding the Basics

Certificate number: ASd6lqq0LJllE844kVT18jIp0Uqx

Speaking Confidently and Effectively

Certificate number: AVgKkbDw8wJs2IdumfjEl9gqBbQT

Strategic Negotiation

Certificate number: AepCjgsg3f8MOe1nvvdaw2vNY8r1

Applied Plotting, Charting & Data representation in Python

Verify at

Data Visualization for Data Analysis and Analytics

Certificate number: AdnnUCt-6TnUHUPYjDbfvK87NTgp

Machine Learning

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Professional Activities

2022 - 

KAUST, Saudi Arabia

2019 - 2022

Applied Materials, Italy

2017 - 2019

Stanford University, USA

2016 - 2019

Soochow University, China


University of Granada, Spain

Senior Postdoctoral researcher

Physicist/scientist at R&D department

Involved in the development of GINESTRA software.

Postdoctoral fellow

18 months

Postdoctoral researcher

External researcher collaborator


2023 -


2001 - 2016

Academia en casa, Spain

Teaching Assistant

Course Title: Electronic Properties of Materials

Private tutor

1084 hours of class of high school and bachelor students




Winner of the Suzhou NANO-CIC postdoctoral fellow

Prize: 30,000 USD

Scientific Activities








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

Chair of organizing committee. ChinaRRAM workshop,  Suzhou, China

Member, Research Network “Institute of Electrical and Electronics Engineers”

Member, Network of Researchers China-Spain. “RICE”


Method for optimizing the use of conductive atomic force microscopes and digital source meters

Marco A. Villena, Biyu Guo, Mario Lanza (Chinese names: 马尔科·维勒纳, 郭碧雨, 马里奥·兰扎)

Application No.: CN111122912A (China)

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)


  1. Kaichen Zhu, Sebastian Pazos, Fernando Aguirre, Yaqing Shen, Yue Yuan, Wenwen Zheng, Osamah Alharbi, Marco A. Villena, Bin Fang, Xinyi Li, Alessandro Milozzi, Matteo Farronato, Miguel Muñoz-Rojo, Tao Wang, Ren Li, Hossein Fariborzi, Juan B. Roldan, Guenther Benstetter, Xixiang Zhang, Husam Alshareef, Tibor Grasser, Huaqiang Wu, Daniele Ielmini, Mario Lanza, “Hybrid 2D/CMOS microchips for memristive applications,” Nature, (Accepted, March 2023).

  2. 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).

  3. 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).

  4. 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).

  5. 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).

Full list of papers

Funded Projects

1. Two-dimensional nanomaterial-based electronic synapses for neural computing

Entity: China NSFC Mianshang

From: 01/2019 to 12/2022

Researcher in charge: Mario Lanza

Funding: 630,000 RMB (~90,000 USD)

Reference: 61874075

2. Electronic synapses based on two dimensional materials for neuromorphic computing

Entity: BRICS - Brazil, Russia, India, China, and South Africa committees

From: 01/2019 to 12/2021

Researcher in charge: Mario Lanza

Funding: 2,200,000 RMB (~320,000 USD)

Reference: 2018YFE0100800

3. 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 €

Reference: TEC2017-84321-C4-3-R

Technical Skills

Programming Languages

Design & Simulation


  • Python

  • Matlab

  • Linux Bash

  • Visual Basic .NET

  • Fortran

  • Ginestra (involved in the development of this tool)

  • VASP

  • PSpice

  • Virtual NanoLab

  • FreeCAD

  • Gmsh

  • Blender

  • Linux (SUSE, Ubuntu)


  • CrystalMaker

  • Gimp 2

  • Microsoft Office

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