Article, 2023
Brokering between tenants for an international materials acceleration platform
Matter,
ISSN
2590-2393,
2590-2385,
Volume 6,
9,
Pages 2647-2665,
10.1016/j.matt.2023.07.016
Contributors
Vogler, Monika
[1]
[2]
Busk, Jonas
[3]
Hajiyani, Hamidreza
[4]
Jørgensen, Peter Bjørn
0000-0003-4404-7276
[3]
Safaei, Nehzat
0000-0002-4105-8853
[4]
Castelli, Ivano Eligio
0000-0001-5880-5045
[3]
Ramirez, Francisco Fernando
[5]
Carlsson, Johan M
0000-0002-1596-0923
[4]
Pizzi, Giovanni
0000-0002-3583-4377
[5]
[6]
Clark, Simon
0000-0002-8758-6109
[7]
Hanke, Felix
0000-0002-4155-5980
(Corresponding author)
[8]
Bhowmik, Arghya
0000-0003-3198-5116
(Corresponding author)
[3]
Stein, Helge Sören
0000-0002-3461-0232
(Corresponding author)
[1]
[2]
Affiliations
- [1]
Helmholtz-Institute Ulm
[NORA names:
Germany; Europe, EU; OECD];
- [2]
Karlsruhe Institute of Technology
[NORA names:
Germany; Europe, EU; OECD];
- [3]
Technical University of Denmark
[NORA names:
DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
- [4]
Dassault Systèmes (Germany)
[NORA names:
Germany; Europe, EU; OECD];
- [5]
École Polytechnique Fédérale de Lausanne
[NORA names:
Switzerland; Europe, Non-EU; OECD];
(... more)
- [6]
Paul Scherrer Institute
[NORA names:
Switzerland; Europe, Non-EU; OECD];
- [7]
SINTEF
[NORA names:
Norway; Europe, Non-EU; Nordic; OECD];
- [8]
Dassault Systèmes (United Kingdom)
[NORA names:
United Kingdom; Europe, Non-EU; OECD]
(less)
Abstract
The efficient utilization of resources in accelerated materials science necessitates flexible, reconfigurable software-defined research workflows. We demonstrate a brokering approach to modular and asynchronous research orchestration to integrate multiple laboratories in a cooperative multitenancy platform across disciplines and modalities. To the best of our knowledge, this constitutes the first internationally distributed materials acceleration platform (MAP) linked via a passive brokering server, which is demonstrated through a battery electrolyte workflow capable of determining density, viscosity, ionic conductivity, heat capacity, diffusion coefficients, transference numbers, and radial distribution functions that ran in five countries over the course of 2 weeks. We discuss the lessons learned from multitenancy and fault tolerance and chart a way to a universal battery MAP with fully ontology-linked schemas and cost-aware orchestration.
Keywords
acceleration platform,
approach,
battery,
broker server,
brokering approach,
brokers,
capacity,
charts,
coefficient,
conductivity,
countries,
course,
density,
diffusion,
diffusion coefficient,
disciplines,
distribution function,
efficient utilization,
efficient utilization of resources,
fault,
fault tolerance,
function,
heat,
heat capacity,
ionic conductivity,
knowledge,
laboratory,
lessons,
materials,
materials acceleration platforms,
materials science,
modalities,
multiple laboratories,
multitenancy,
number,
orchestration,
platform,
radial distribution function,
resources,
schema,
science,
server,
tenants,
tolerance,
transfer,
transference number,
utilization of resources,
viscosity,
weeks,
workflow
Funders
Data Provider: Digital Science