Erik A. Bensen
  • Publications
  • Talks
  • Projects
  • Publications
    • Applications of explainable artificial intelligence in renewable energy research
    • Addressing bias in bagging and boosting regression models
    • Measuring the energy consumption and efficiency of deep neural networks: An empirical analysis and design recommendations
    • A Machine Learning Method for Real-Time Traffic State Estimation from Probe Vehicle Data
    • Concept of Operations of Next-Generation Traffic Control Utilizing Infrastructure-Based Cooperative Perception
    • Structural defects in compounds Zn X Sb (X= Cr, Mn, Fe): Origin of disorder and its relationship with electronic properties
    • Efficacy of the method of four coefficients to determine charge-carrier scattering
    • Anomalous electronic properties in layered, disordered ZnVSb
    • Discovery of n-type Zintl phases RbAlSb4, RbGaSb4, CsAlSb4, and CsGaSb4
    • Prototype latent heat storage system with aluminum-silicon as a phase change material and a Stirling engine for electricity generation
  • Selected Talks
    • Sampling-based surrogate likelihood inference for spatial warping error models with applications to aerosol simulations
  • Projects
    • tmg-hmc
    • mpi4pytools
  • Experience
  • Teaching

mpi4pytools

Aug 15, 2025 · 1 min read
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Image credit: MPI Forum

mpi4pytools is a package of shortcuts used to streamline the usage of MPI within Python. It is built on top of mpi4py.

Last updated on Aug 15, 2025
Python Mpi4py
← tmg-hmc Dec 15, 2025

© 2026 Erik A. Bensen. This work is licensed under CC BY-NC-SA 4.0

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