Bio


Lars Thorben is a PhD student in Electrical Engineering. In his research, he uses numerical methods to teach computers how to optimize physical devices. Here, he focuses on ion optical devices. The unintuitive shapes that his algorithms design can explore the full range of additive manufacturing of metallic devices. His past work includes the optimization of photonic crystal structures and virtual instrumentation for online education. Lars is an Accel Innovation Scholar at the Stanford Technology Ventures Program. Moreover, he was a Creativity in Research scholar, a program that he is now co-teaching. He is supported by the ERP-Program from the German Federal Ministry of Economics and Energy.

Personal Interests


In his personal life, Lars is interested in the societal impact of emerging technologies. Moreover, he likes to stay fit and active by learning how to surf, doing heated Pilates workouts and going to the gym.

Current Research and Scholarly Interests


Lars's research interest lies at the intersection of optimization, applied physics and numerical methods. He is interested in understanding how we can use modern numerical methods and optimization techniques to improve physical devices in photon and charged particle optics. Hereby, the shape and topology of a device oftentimes plays a crucial role in its behavior. Lars is building computational models, including the application of adjoint design sensitivity analysis, to improve device shapes.

Currently, he is working on electron lensing devices. Other application of such computational tools range from optical tweezers and particle transport, near-field scanning microscopy and optical data storage to X-Ray systems.


While working on his research, Lars also encountered the limitations of todays tools of assisting research publications and outreach. Thus, he worked on the iLabs platform for research outreach and online education. This platform combines an interactive and scalable display of research data with social functionalities.

All Publications


  • Inverse Design Tool for Ion Optical Devices using the Adjoint Variable Method. Scientific reports Neustock, L. T., Hansen, P. C., Russell, Z. E., Hesselink, L. 2019; 9 (1): 11031

    Abstract

    We present a computer-aided design tool for ion optical devices using the adjoint variable method. Numerical methods have been essential for the development of ion optical devices such as electron microscopes and mass spectrometers. Yet, the detailed computational analysis and optimization of ion optical devices is still onerous, since the governing equations of charged particle optics cannot be solved in closed form. Here, we show how to employ the adjoint variable method on the finite-element method and Störmer-Verlet method for electrostatic charged particle devices. This method allows for a full sensitivity analysis of ion optical devices, providing a quantitative measure of the effects of design parameters to device performance, at near constant computational cost with respect to the number of parameters. To demonstrate this, we perform such a sensitivity analysis for different freeform N-element Einzel lens systems including designs with over 13,000 parameters. We further show the optimization of the spot size of such lenses using a gradient-based method in combination with the adjoint variable method. The computational efficiency of the method facilitates the optimization of shapes and applied voltages of all surfaces of the device.

    View details for DOI 10.1038/s41598-019-47408-w

    View details for PubMedID 31363126

  • Remote Experimentation with Massively Scalable Online Laboratories Online Engineering & Internet of Things Neustock, L. T., Herring, G. K., Hesselink, L. Springer. 2018
  • Learning from the Unexpected: Statistics and Uncertainty in Massively Scalable Online Laboratories (MSOL) Herring, G. K., Neustock, L., Hesselink, L., IEEE IEEE. 2018: 815–24
  • Immersive Peer Education: Virtual Interactive Scalable Online Notebooks for Science (VISONS) Neustock, L., Herring, G. K., Hesselink, L., IEEE IEEE. 2018: 805–14
  • Platform technology for mobile, label-free protein detection TM-TECHNISCHES MESSEN Jahns, S., Neustock, L., Paulsen, M., Moussavi, E., Gerken, M. 2017; 84 (6): 426–35
  • Simulation methods for multiperiodic and aperiodic nanostructured dielectric waveguides OPTICAL AND QUANTUM ELECTRONICS Paulsen, M., Neustock, L. T., Jahns, S., Adam, J., Gerken, M. 2017; 49 (3)
  • Adjoint method for estimating Jiles-Atherton hysteresis model parameters JOURNAL OF APPLIED PHYSICS Zaman, M. A., Hansen, P. C., Neustock, L. T., Padhy, P., Hesselink, L. 2016; 120 (9)

    View details for DOI 10.1063/1.4962153

    View details for Web of Science ID 000383978100014

  • Simulation of photonic waveguides with deterministic aperiodic nanostructures for biosensing Neustock, L. T., Paulsen, M., Jahns, S., Adam, J., Gerken, M. 2016: 980–83
  • Properties of Deterministic Aperiodic Photonic Nanostructures for Biosensors Conference on Photonic and Electromagnetic Crystal Structures Paulsen, M., Jahns, S., Neustock, L. T., Adam, J., Gerken, M. 2016
  • Optical Waveguides with Compound Multiperiodic Grating Nanostructures for Refractive Index Sensing Journal of Sensors Neustock, L. T., Jahns, S., Adam, J., Gerken, M. 2016

    View details for DOI 10.1155/2016/6174527

  • Emission tailoring for organic emitter layers with compound binary gratings MRS Spring Meeting Kluge, C., Paulsen, M., Neustock, L. T., Barie , N., Jakobs, P., Adam, J., Gerken, M. 2014
  • Wavelength dependency of outcoupling peak intensities for emission layers with multi-periodic photonic crystals. Transparent Optical Networks (ICTON), 2014 16th International Conference on Kluge, C., Neustock, L. T., Adam, J., Gerken, M. 2014
  • Calculation of leaky-wave radiation from compound binary grating waveguides XXIth International Workshop on Optical Wave & Waveguide Theory and Numerical Modelling Kluge, C., Neustock, L. T., Adam, J., Gerken, M. 2013