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Revision as of 09:17, 9 April 2025

Simon Clark
ID OSW72e733f317ef4cf9b8ca53e906c9acb9
UUID 72e733f3-17ef-4cf9-b8ca-53e906c9acb9
Label Simon Clark
Machine compatible name SimonClark
OSW32db744f9de6466ca071428977a5b841.jpg
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Statements (incoming)

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Description

An American-Norwegian Scientist. Dr. Clark works on battery digitalization topics and is a leader in European battery research policy and coordination groups. He is currently employed as a Senior Research Scientist at SINTEF.

Item
Type(s)/Category(s) User
Person
First name Simon
Middle name
Surname Clark
HR info
Organization SINTEF
Department SINTEF Battery Technology
Located at SINTEF Battery Lab
Contact
Email simon.clark@sintef.no
Website https://scholar.google.com/citations?user=YyXXh8UAAAAJ&hl
ORCID iD https://orcid.org/0000-0002-8758-6109
Phone number +47-41314004
Fax number
Expertise
Role Senior Research Scientist
Competence
Topic
Projects
Member of Battery 2030+, DigiBatt, HYDRA, IntelLiGent
Lead of BattMo
User
Username
Abbreviation
Office
Superior

Biography

Early life and education

Dr. Clark was born 1987 in Columbus, GA USA. He studied at the Georgia Institute of Technology and earned his bachelor degree in Mechanical Engineering in 2009. For his doctoral research, Clark worked with Prof. Dr. Arnulf Latz and Prof. Dr. Birger Horstmann at the German Aerospace Centre (DLR) and Helmholtz Institute Ulm (HIU) to develop a new continuum modelling framework for aqueous near-neutral zinc-air battery cells. He earned his Dr. rer. nat. degree summa cum laude from Ulm University in 2019.

Career

After graduating from Georgia Tech in 2009, Clark first worked as a design simulation engineer in the German spaceflight industry from 2010-2013. He contributed to the design of laser communication hardware on Earth observation satellites like Sentinel 1 and Sentinel 2. He also designed the mirror hardware for one of the telescopes on Solar Orbiter.

In 2018, he joined SINTEF in Trondheim, Norway to work on battery digitalization topics. He has a leading role in EU-funded research projects like Battery2030+, BIG-MAP, DigiBatt, IntelLiGent, HYDRA, and more. His current activities focus on bringing battery data into the Semantic Web and enabling fast physics-based design simulations. He is a core developer of the Battery Interface Ontology (BattINFO) and the Battery Modelling Toolbox (BattMo)

Technical Expertise

Dr. Clark has extensive experience in developing and implementing advanced simulation methodologies for electrochemical systems. His expertise spans continuum modelling and numerical methods, with a focus on practical applications in battery research, hydrogen fuel cells, and electrolyzers. His work includes the formulation of physics-based continuum models that describe transport phenomena, reaction kinetics, and thermodynamics within electrochemical devices. These models serve as foundational tools for understanding and optimizing energy storage and conversion systems.

Simulation Methodology

Dr. Clark specializes in the use of finite element and finite volume methods. Through these numerical approaches, he has developed high-fidelity simulations that account for multiphysics interactions, including electrochemical, thermal, and mechanical effects.

Electrochemical Devices

Batteries

Dr. Clark has expertise across various electrochemical devices, with significant contributions to battery research. He has worked on lithium-ion, zinc-based, and post-lithium battery chemistries, developing models that predict performance, degradation, and efficiency losses. His research has linked electrode- and particle-level processes to full-cell behaviour, enabling a more comprehensive understanding of battery operation. His modelling efforts are closely integrated with experimental validation, where data-driven parameterization techniques ensure that simulation outputs accurately reflect real-world performance.

Hydrogen Fuel Cells

Clark has also worked extensively on hydrogen fuel cells, particularly in the area of model-based design optimization. His research has addressed flow field optimization to improve reactant distribution and pressure uniformity, leading to enhanced power output and fuel utilization. He has investigated gas diffusion layers and microporous layers, focusing on water management strategies and transport limitations that impact overall efficiency. His work aims to refine the operational characteristics of fuel cells to meet the stringent demands of automotive, aerospace, and stationary applications.

Electrolyzers

In the field of electrolyzers, Clark employs model-based design optimization to enhance the efficiency of hydrogen production. His research has explored electrode architecture optimization, seeking to improve mass transport and reaction kinetics at the electrochemical interface. He has developed coupled thermal and electrochemical models to better understand the heat generation and dissipation processes in electrolyzer operation. His degradation modelling efforts have provided insights into long-term performance, helping to predict system durability under varying operational conditions.

Semantic Web

Dr. Clark is actively involved in semantic data integration and ontology-driven knowledge representation in battery research. He has played a leading role in ontology development for electrochemical systems, ensuring alignment with the Elementary Multiperspective Materials Ontology (EMMO). His work has contributed to domain ontologies that standardize descriptions of battery components, test methods, and performance data, facilitating machine-readable data exchange across different research platforms. He has worked on linked data approaches that improve data interoperability, bridging experimental, modelling, and industrial datasets to enhance collaboration and knowledge sharing. His efforts in semantic web technologies align with the principles of findability, accessibility, interoperability, and reusability, ensuring that battery-related data is structured in a way that maximizes reuse and knowledge discovery.

Images

  • OSWf22cc6403053449d91f692cb16931bb9.jpg

    Simon Clark speaking at the Road Transport Research Conference in 2025


Publications

Peer-Reviewed Publications

A list of publications is available on Dr. Clark's ORCIDand Google Scholar pages.

Title Journal Year DOI
Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations Advanced Energy Materials 2024 https://doi.org/10.1002/aenm.202403263
Materials acceleration platforms (MAPs): accelerating materials research and development to meet urgent societal challenges Advanced Materials 2024 https://doi.org/10.1002/adma.202407791
Surface, Structural, and Electrochemical Analysis of High-Voltage Spinel Cathode LiNi0. 5Mn1. 5O4 Evolution Upon Ambient Storage Conditions Journal of the Electrochemical Society 2023 https://doi.org/10.1149/1945-7111/ad0263
Brokering between tenants for an international materials acceleration platform Matter 2023 https://doi.org/10.1016/j.matt.2023.07.016
Principles of the Battery Data Genome Joule 2022 https://doi.org/10.1016/j.joule.2022.08.008
A roadmap for transforming research to invent the batteries of the future designed within the european large scale research initiative battery 2030+ Advanced Energy Materials 2022 https://doi.org/10.1002/aenm.202102785
Rechargeable batteries of the future—the state of the art from a BATTERY 2030+ perspective Advanced Energy Materials 2022 https://doi.org/10.1002/aenm.202102904
Digitalization of battery manufacturing: current status, challenges, and opportunities Advanced Energy Materials 2022 https://doi.org/10.1002/aenm.202102696
Toward a unified description of battery data Advanced Energy Materials 2022 https://doi.org/10.1002/aenm.202102702
Innovative zinc-based batteries Journal of Power Sources 2021 https://doi.org/10.1016/j.jpowsour.2020.229309
Data Management Plans: the Importance of Data Management in the BIG‐MAP Project Batteries & Supercaps 2021 https://doi.org/10.1002/batt.202100117
Cold sintering as a cost-effective process to manufacture porous zinc electrodes for rechargeable zinc-air batteries Processes 2020 https://doi.org/10.3390/pr8050592
Designing aqueous organic electrolytes for zinc–air batteries: method, simulation, and validation Advanced Energy Materials 2020 https://doi.org/10.1002/aenm.201903470
Towards Rechargeable Zinc-Air Batteries with Aqueous Chloride Electrolytes Journal of Materials Chemistry A 2019 https://doi.org/10.1039/C9TA01190K
A review of model-based design tools for metal-air batteries Batteries 2018 https://doi.org/10.3390/batteries4010005
Rational development of neutral aqueous electrolytes for zinc–air batteries ChemSusChem 2017 https://doi.org/10.1002/cssc.201701468

Book Chapters

Title Book Year DOI
Batteries – Battery Types – Zinc Batteries | Overview Encyclopedia of Electrochemical Power Sources 2024 https://doi.org/10.1016/B978-0-323-96022-9.00070-0
Modeling and simulation of metal-air batteries Electrochemical Power Sources: Fundamentals, Systems, and Applications 2021 https://doi.org/10.1016/B978-0-444-64333-9.00009-6

Technical Lectures

Year Lecture Venue
2025 How Semantic Technology Accelerates Battery Research Battery2030+ Excellence Seminar
2024 Digital Tools for Accelerating Innovation in Energy Storage STORIES Lecture Series

Popular Science Talks

Load video
YouTube
The green transition depends on the reinvention of battery technology - Simon Clark - TEDxTrondheim

Podcasts

Podcast Topic Date
Smart Forklart The next generation of electric car batteries 2025-08-22

Software

Title Descrption Repository DOI
BattMo.m A framework for continuum simulations of electrochemical devices in MATLAB https://github.com/BattMoTeam/BattMo https://doi.org/10.5281/zenodo.6362782
BattMo.jl A framework for continuum simulations of electrochemical devices in Julia https://github.com/BattMoTeam/BattMo.jl
cold A python package for creating ontology-based linked data


Datasets

Battery Test Data

Title Descrption DOI
Discharging Time Series of a CR2032 Battery at 11 mA This dataset contains time series data collected during constant-current discharge of a VARTA CR2032 lithium coin cell at 11 mA using a BioLogic battery cycler. https://doi.org/10.5281/zenodo.15067969

RDF Resources

Title Descrption DOI
EMMO A top and mid-level ontology for materials science https://doi.org/10.5281/zenodo.5730500
domain-battery The EMMO domain ontology for batteries https://doi.org/10.5281/zenodo.7693672
domain-electrochemistry The EMMO domain ontology for electrochemistry https://doi.org/10.5281/zenodo.7693664
domain-chemical-substance The EMMO domain ontology for chemical substances https://doi.org/10.5281/zenodo.10254978
battery-data-format-ontology An application ontology for the Linux Foundation Energy resource on battery data formats

Conferences and Meetings


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