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Antoine Jerusalem

Professor

Antoine Jérusalem MSc PhD Diplôme d'Ingénieur

Professor of Mechanical Engineering

Fellow at St Hugh's College

Biography

Professor Antoine Jérusalem graduated in 2004 with a double degree from the Ecole Nationale Supérieure de l’Aéronautique et de l’Espace with a Diplôme d’Ingénieur, and from the Massachusetts Institute of Technology with a Master of Science in Aeronautics and Astronautics. In 2007, he obtained his Ph.D. in Computational Mechanics of Materials from MIT, where he stayed as a Postdoctoral Associate for a year.

Antoine was the group leader of the Computational Mechanics of Materials Group in Madrid’s Advanced Studies Institute of Materials (IMDEAMaterials) from 2008 to 2012, and is currently a Professor of Mechanical Engineering at the University of Oxford. He is also an Affiliate Researcher in the Mathematical Institute at Oxford and the codirector of the International Brain Mechanics and Trauma Lab.

Antoine's research activities focus on computational modelling of many types of materials and structures, ranging from metals to composite materials with a major focus on the multiphysics of neurons and brain and applications in Ultrasound Neuromodulation and TBI. His modelling activities involve the development and use of state-of-the-art advanced numerical techniques. Professor Jérusalem has active collaborations with different institutes and universities around the world.

Group website
International Brain Mechanics and Trauma Lab website

Research Interests

  • Computational mechanics of materials
  • Multiscale and multiphysics mechanics
  • Brain mechanics
  • Ultrasound neuromodulation
  • TBI

 

Current Projects

ASiMoV

Strategic Partnership in Computational Science for Advanced Simulation and Modelling of Engineering Systems.

EPSRC Prosperity Partnership Grant (2018-2023)

VIANA

Applied Visual Analytics.

Spanish Ministry of Economy and Competitiveness (2018-2021)

The role of geometric-edge specification in cell growth mechanics and morphogenesis.

BBSRC (2017-2020)

NeuroPulse

NeuroPulse: Electrophysiological-mechanical coupled pulses in neural membranes: a new paradigm for clinical therapy of SCI and TBI. EPSRC Healthcare Technologies Challenge Award (2016-2021)

Recent publications

White matter tract transcranial ultrasound stimulation, a computational study

felix C, Folloni D, Chen H, Sallet J & Jerusalem A (2021), Computers in Biology and Medicine, 140

Altmetric score is
BibTeX View PDF
@article{whitemattertrac-2021/12,
  title={White matter tract transcranial ultrasound stimulation, a computational study},
  author={felix C, Folloni D, Chen H, Sallet J & Jerusalem A},
  journal={Computers in Biology and Medicine},
  volume={140},
  number={105094},
  publisher={Elsevier},
  year = "2021"
}

Single cell electrophysiological alterations under dynamic loading at ultrasonic frequencies

Tamayo-Elizalde M, Kayal C, Ye H & Jerusalem A (2021), Brain Multiphysics, 2

Altmetric score is
BibTeX View PDF
@article{singlecellelect-2021/8,
  title={Single cell electrophysiological alterations under dynamic loading at ultrasonic frequencies},
  author={Tamayo-Elizalde M, Kayal C, Ye H & Jerusalem A},
  journal={Brain Multiphysics},
  volume={2},
  number={100031},
  publisher={Elsevier},
  year = "2021"
}

A framework for low intensity low frequency ultrasound neuromodulation sonication parameters identification from micromechanical flexoelectricity modelling

Chen H & Jerusalem A (2021), Ultrasound in Medicine and Biology

Altmetric score is
BibTeX View PDF
@article{aframeworkforlo-2021/4,
  title={A framework for low intensity low frequency ultrasound neuromodulation sonication parameters identification from micromechanical flexoelectricity modelling},
  author={Chen H & Jerusalem A},
  journal={Ultrasound in Medicine and Biology},
  publisher={Elsevier},
  year = "2021"
}

Machine learning based multiscale calibration of mesoscopic constitutive models for composite materials: application to brain white matter

Field D, Ammouche Y, Pena J & Jerusalem A (2021), Computational Mechanics, 67(2021), 1629-1643

Altmetric score is
BibTeX View PDF
@article{machinelearning-2021/4,
  title={Machine learning based multiscale calibration of mesoscopic constitutive models for composite materials: application to brain white matter},
  author={Field D, Ammouche Y, Pena J & Jerusalem A},
  journal={Computational Mechanics},
  volume={67},
  pages={1629-1643},
  publisher={Springer Nature},
  year = "2021"
}

A machine learning enhanced mechanistic simulation framework for functional deficit prediction in TBI

Schroder A, Lawrence T, Voets N, Garcia-Gonzalez D, Jones M et al. (2021), Frontiers in Bioengineering and Biotechnology, 9

Altmetric score is
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@article{amachinelearnin-2021/3,
  title={A machine learning enhanced mechanistic simulation framework for functional deficit prediction in TBI},
  author={Schroder A, Lawrence T, Voets N, Garcia-Gonzalez D, Jones M et al.},
  journal={Frontiers in Bioengineering and Biotechnology},
  volume={9},
  number={587082},
  publisher={Frontiers Media},
  year = "2021"
}

Action potential alterations induced by single F11 neuronal cell loading

Tamayo-Elizalde M, Chen H, Malboubi M, Ye H & Jerusalem A (2021), Progress in Biophysics and Molecular Biology, 162, 141-153

Altmetric score is
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@article{actionpotential-2021/1,
  title={Action potential alterations induced by single F11 neuronal cell loading},
  author={Tamayo-Elizalde M, Chen H, Malboubi M, Ye H & Jerusalem A},
  journal={Progress in Biophysics and Molecular Biology},
  volume={162},
  pages={141-153},
  publisher={Elsevier},
  year = "2021"
}

Design of FDM 3D printed polymers: an experimental-modelling methodology for mechanical property prediction

Garzon-Hernandez S, Garcia-Gonzalez D, Jerusalem A & Arias A (2019), Materials and Design, 188(March 2020)

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BibTeX View PDF
@article{designoffdmdpri-2019/12,
  title={Design of FDM 3D printed polymers: an experimental-modelling methodology for mechanical property prediction},
  author={Garzon-Hernandez S, Garcia-Gonzalez D, Jerusalem A & Arias A},
  journal={Materials and Design},
  volume={188},
  number={108414},
  publisher={Elsevier},
  year = "2019"
}

Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit

Latorre A, Kwong MT, Garcia-Grajales JA, Shi R, Jerusalem A et al. (2019), Journal of Computational Science, 39

Altmetric score is
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@article{modelcalibratio-2019/11,
  title={Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit},
  author={Latorre A, Kwong MT, Garcia-Grajales JA, Shi R, Jerusalem A et al.},
  journal={Journal of Computational Science},
  volume={39},
  number={101053},
  publisher={Elsevier},
  year = "2019"
}

Medical imaging based in silico head model for ischaemic stroke simulation

Bing Y, Garcia-Gonzalez D, Voets N & Jérusalem A (2019), Journal of the Mechanical Behavior of Biomedical Materials, 101

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@article{medicalimagingb-2019/9,
  title={Medical imaging based in silico head model for ischaemic stroke simulation},
  author={Bing Y, Garcia-Gonzalez D, Voets N & Jérusalem A},
  journal={Journal of the Mechanical Behavior of Biomedical Materials},
  volume={101},
  number={103442},
  publisher={Elsevier},
  year = "2019"
}

Datasets for multi-scale diffraction analysis (synchrotron XRD and EBSD) of twinning-detwinning during tensile-compressive deformation of AZ31B magnesium alloy samples

Zhang H, Jérusalem A, Salvati E, Papadaki C, Fong KS et al. (2019), Data in Brief, 26, 104423

Altmetric score is
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@article{datasetsformult-2019/8,
  title={Datasets for multi-scale diffraction analysis (synchrotron XRD and EBSD) of twinning-detwinning during tensile-compressive deformation of AZ31B magnesium alloy samples},
  author={Zhang H, Jérusalem A, Salvati E, Papadaki C, Fong KS et al.},
  journal={Data in Brief},
  volume={26},
  pages={104423},
  publisher={Elsevier},
  year = "2019"
}
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