# Juan Pedro Mendez Granado

Cognitive & Emerging Computing

## Biography

I am a Senior Member of Technical Staff in the CCR at Sandia National Laboratories. My work at Sandia has been mainly focused on quantum transport simulations and semiclassical simulations for nano-scale device modeling. I joined Sandia National Laboratories in 2019 as Postdoc in Cognitive & Emerging Computing Department (1421). Prior to Sandia, I was a postdoc at Caltech, where I worked on developing a novel long-term atomistic non-equilibrium thermo-mechanical method for diffusion in materials. I received my BS in Industrial Engineering and my PhD in Mechanical Engineering from University of Seville, and my MS in Aerospace Engineering from Caltech. My research is at the intersection of Mechanical Engineering, Material Science, Electronic Engineering and Computer Science, and focuses on multi-scale modeling, development of new methods and simulations. My research uses a variety of methods, such as molecular dynamics, tight-binding methods, quantum transport methods, etc., to understand better materials and develop novel nanoscale devices.

Keywords: Quantum transport methods/simulations, DFT, tight-binding methods, FEM, molecular dynamics, advanced molecular dynamic methods, TCAD simulations, nanoscale device modeling/simulations, graphene, Si: P delta-layer systems.

## Education

**Ph.D. in Mechanical Engineering, University of Seville.**Thesis title: “Hamonic/nonharmonic model of graphene and its structural defects based on a tight binding interatomic potential.”

**MS in Aerospace Engineering, California Institute of Technology**

**BS in Industrial Engineering, University of Seville**Specialization: Mechanical engineering

## Publications

**2023**

**J.P. Mendez**, and D. Mamaluy, Uncovering anisotropic effects of electric high-moment dipoles on the tunneling current in δ-layer tunnel junctions,*Scientific Reports*, 13, 22591 (2023)

**J.P. Mendez**, S. Misra, and D. Mamaluy, Influence of imperfections on tunneling rate in δ-layer junctions, Phys. Rev. Applied 20, 054021 (2023)

- D. Mamaluy, and
**J.P. Mendez**, Strong quantization of current-carrying electron states in δ-layer systems, Solid-State Electronics 200, 108532 (2023)

**2022**

**J.P. Mendez**, and Denis Mamaluy, Conductivity and size quantization effects of δ-layer systems, Scientific Reports 12, 16397 (2022)

- F. Arca,
**J.P. Mendez**, M. Ortiz, and M.P Ariza, Strain-tuning of transport gaps and semiconductor-to-conductor phase transition in twinned graphene, Acta Materialia 234, 117987 (2022)

**2021**

- D. Mamaluy,
**J.P. Mendez**, X. Gao, and M. Shashank, M., Revealing quantum effects in highly conductive δ-layer systems, Commun Phys 4, 205 (2021)

**J.P. Mendez**, D. Mamaluy, X. Gao, and M. Shashank, Quantum Transport Simulations for Si: P δ-layer Tunnel Junctions, Proc. of SISPAD 2021 (2021)

- X. Gao,
**J.P. Mendez**, and*et al.*, Modeling and Assessment of Atomic Precision Advanced Manufacturing (APAM) Enabled Vertical Tunneling Field Effect Transistor, Proc. of SISPAD 2021 (2021)

**2020**

**J.P. Mendez**, and M. Ponga, MXE: A package for simulating long-term diffusive mass transport phenomena in nanoscale systems, Computer Physics Communications 260, 107315 (2020)

- W. Schill,
**J.P. Méndez**, L. Stainier, and M. Ortiz, Shear localization as a mesoscopic stress-relaxation mechanism in fused silica glass at high strain rates, Journal of the Mechanics and Physics of Solids 140, 103940 (2020)

- F. Arca,
**J.P. Mendez**, M. Ortiz, and M.P. Ariza, Charge-carrier transmission across twins in graphene, Acta Materialia, Vol. 32, No. 42, pp. 425003 (2020)

- F. Arca,
**J.P. Mendez**, M. Ortiz, and M.P. Ariza, Spontaneous twinning as an accommodation mechanism in monolayer graphene, European Journal of Mechanism-A/Solids, Vol. 80, pp. 103923 (2020)

**J.P. Mendez**, D. Mamaluy, X. Gao*et al*., Quantum transport in Si: P δ-layer Wires, Proc. of SISPAD 2020 (2020)

**2019**

- F. Arca,
**J.P. Mendez**, M. Ortiz, and M.P. Ariza, Steric Interference in Bilayer Graphene with Point Dislocations, Nanomaterials, Vol. 9, Iss. 7, pp. 1012 (2019)

**2018**

**J.P. Méndez**, F. Arca, J. Ramos, M. Ortiz, and M.P. Ariza, Charge carrier transport across grain boundaries in graphene, Acta Materialia, Vol. 154, pp. 199-206 (2018)

**J.P. Méndez**, M. Ponga, and M. Ortiz, Diffusive Molecular Dynamics Simulations of Lithiation of Silicon Nanopillars, Journal of the Mechanics and Physics of Solids, Vol. 115, pp. 123-141 (2018)

**2016**

**J.P. Méndez**, and M.P. Ariza, Harmonic model of graphene based on a tight binding interatomic potential, Journal of the Mechanics and Physics of Solids, Vol. 93, pp. 198-223 (2016)

- F. Arca,
**J.P. Méndez**, and P. Ariza, Electronic transport across grain boundaries in graphene, Anales de Mecánica de la Fractura, Iss. 33, pp. 381-385 (2016)

**J.P. Méndez**, F. Arca, and P. Ariza, Stability of asymmetric grain boundaries in graphene, VII European Congress on Computational Methods in Applied Sciences and Engineering, pp. 188-196 (2016)

**2015**

- M.P. Ariza, and
**J.P. Mendez**, Stability of discrete topological defects in graphene, Journal of Mechanics of Materials and Structures, Vol. 10, No. 3, pp. 239–253 (2015)

**2014**

**J.P. Méndez**, F. Macías, and M.P. Ariza, Thermal stability of tilt grain boundaries in graphene, Applied Mechanics and Materials, Vol. 481, Iss. 16, pp. 129-132 (2014)

**J.P. Méndez**, F. Macías, and M.P. Ariza, Topology and stability of grain boundaries in graphene, Anales de Mecánica de la Fractura, Vol. 31, pp. 69-74 (2014)

**2012**

- M.P. Ariza, R. Serrano,
**J.P. Méndez**, and M. Ortiz, Stacking faults and partial dislocations in graphene, Philosophical Magazine, Vol. 92, Iss. 16, pp. 2004-2021 (2012)

**2011**

- M.P. Ariza, R. Serrano, and
**J.P. Méndez**, Dynamics and stability of defects in graphene at finite temperature, Anales de Mecánica de la Fractura, Vol. II, Iss. 28, pp. 553-558 (2011)

## Softwares

**MXE user package in LAMMPS:**Package to simulate long-term diffusive mass transport in systems with atomic-scale resolution. The implementation is built as an add-on to the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) code. Download here from the repository, Download here from the publication.

## Awards & Recognitions

**2022**

- Sandia 2022 Employee Recognition Award (ERA): FAIR DEAL Grand Challenge LDRD Project – Team A, Innovation category , May 3, 2022