Søren D Petersen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Machine Learning

Artificial Intelligence

Finite Element Analysis

Top Venues

PLoS computational biology

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Søren D Petersen, Lucas Levassor, Christine M Pedersen, Jan Madsen, Lea G Hansen, Jie Zhang, Ahmad K Haidar, Rasmus J N Frandsen, Jay D Keasling, Tilmann Weber, Nikolaus Sonnenschein, Michael Krogh Jensen
teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering. PLoS computational biology 20 (3) (2024)
Søren D Petersen, Lucas Levassor, Christine M Pedersen, Jan Madsen, Lea G Hansen, Jie Zhang, Ahmad K Haidar, Rasmus J N Frandsen, Jay D Keasling, Tilmann Weber, Nikolaus Sonnenschein, Michael Krogh Jensen
teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering. PLoS computational biology 20 (3) (2024)
Søren D Petersen, Lucas Levassor, Christine M Pedersen, Jan Madsen, Lea G Hansen, Jie Zhang, Ahmad K Haidar, Rasmus J N Frandsen, Jay D Keasling, Tilmann Weber, Nikolaus Sonnenschein, Michael Krogh Jensen
teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering. PLoS computational biology 20 (3) (2024)
Søren D Petersen, Lucas Levassor, Christine M Pedersen, Jan Madsen, Lea G Hansen, Jie Zhang, Ahmad K Haidar, Rasmus J N Frandsen, Jay D Keasling, Tilmann Weber, Nikolaus Sonnenschein, Michael Krogh Jensen
teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering. PLoS computational biology 20 (3) (2024)
Jie Zhang, Søren D Petersen, Tijana Radivojević, Andrés Ramirez, Andrés Pérez-Manríquez, Eduardo Abeliuk, Benjamín J Sánchez, Zak Costello, Yu Chen, Michael J Fero, Héctor García Martín, Jens Nielsen, Jay D Keasling, Michael Krogh Jensen
Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism. Nature communications 11 (1) (2020)