Simon D Rihm (Simon Rihm)

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Convolutional Neural Network

Machine Learning

Electronic Health Record

Genetic Diversity

Top Venues

Scientific data

Nature communications

Journal of chemical information and modeling

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

Publications

Aniket Chitre, Robert C M Querimit, Simon D Rihm, Dogancan Karan, Benchuan Zhu, Ke Wang, Long Wang, Kedar Hippalgaonkar, Alexei A Lapkin
Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset. Scientific data 11 (1) (2024)
Jiaru Bai, Sebastian Mosbach, Connor J Taylor, Dogancan Karan, Kok Foong Lee, Simon D Rihm, Jethro Akroyd, Alexei A Lapkin, Markus Kraft
A dynamic knowledge graph approach to distributed self-driving laboratories. Nature communications 15 (1) (2024)
Aniket Chitre, Robert C M Querimit, Simon D Rihm, Dogancan Karan, Benchuan Zhu, Ke Wang, Long Wang, Kedar Hippalgaonkar, Alexei A Lapkin
Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset. Scientific data 11 (1) (2024)
Jiaru Bai, Sebastian Mosbach, Connor J Taylor, Dogancan Karan, Kok Foong Lee, Simon D Rihm, Jethro Akroyd, Alexei A Lapkin, Markus Kraft
A dynamic knowledge graph approach to distributed self-driving laboratories. Nature communications 15 (1) (2024)
Jiaru Bai, Sebastian Mosbach, Connor J Taylor, Dogancan Karan, Kok Foong Lee, Simon D Rihm, Jethro Akroyd, Alexei A Lapkin, Markus Kraft
A dynamic knowledge graph approach to distributed self-driving laboratories. Nature communications 15 (1) (2024)
Aniket Chitre, Robert C M Querimit, Simon D Rihm, Dogancan Karan, Benchuan Zhu, Ke Wang, Long Wang, Kedar Hippalgaonkar, Alexei A Lapkin
Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset. Scientific data 11 (1) (2024)
Laura Pascazio, Simon D Rihm, Ali Naseri, Sebastian Mosbach, Jethro Akroyd, Markus Kraft
Chemical Species Ontology for Data Integration and Knowledge Discovery. Journal of chemical information and modeling (2023)