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researcher

Valentin Sulzer

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • physics.chem-ph1
ORCID 0000-0002-8687-327X

identity via Semantic Scholar / OpenAlex

most citedLithium-ion battery degradation: how to model it

376 citations · 376 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CE2022

A Non-intrusive Approach for Physics-constrained Learning with Application to Fuel Cell Modeling

Vishal Srivastava, Valentin Sulzer, Peyman Mohtat +2

A data-driven model augmentation framework, referred to as Weakly-coupled Integrated Inference and Machine Learning (IIML), is presented to improve the predictive accuracy of physi…

physics.chem-ph2021★ 376 cited

Lithium-ion battery degradation: how to model it

Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula +7

Predicting lithium-ion battery degradation is worth billions to the global automotive, aviation and energy storage industries, to improve performance and safety and reduce warranty…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.