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Abstract
In this paper, we introduce an optimization-based approach for creating a simulation-driven game designed to teach players about nano-technology. We focus our effort on Metal-Organic Frameworks (MOFs), a new class of nano-materials used for a wide variety of safety, filtering, and manufacturing tasks. In particular, we design a tool to allow users to create their own unique MOFs, introduce a new form of interactive simulation of MOF structures, and validate our new simulation model with existing offline chemical simulation techniques. We combine our new design tool and simulation technique into a simple game called Master of Filtering, designed to let players design and test brand new MOFs within an interactive game setting. Following an optimization-driven approach, we are able to generate an initiative scoring mechanism such as higher scores in the game are positively correlated with better key chemical properties of the user-designed MOFs.
Original language | English (US) |
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Title of host publication | Proceedings - Motion in Games 2016 |
Subtitle of host publication | 9th International Conference on Motion in Games, MIG 2016 |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery, Inc |
Pages | 39-48 |
Number of pages | 10 |
ISBN (Electronic) | 9781450345927 |
DOIs | |
State | Published - Oct 10 2016 |
Event | 9th International Conference on Motion in Games, MIG 2016 - San Francisco, United States Duration: Oct 10 2016 → Oct 12 2016 |
Publication series
Name | Proceedings - Motion in Games 2016: 9th International Conference on Motion in Games, MIG 2016 |
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Other
Other | 9th International Conference on Motion in Games, MIG 2016 |
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Country/Territory | United States |
City | San Francisco |
Period | 10/10/16 → 10/12/16 |
Bibliographical note
Publisher Copyright:© 2016 Copyright held by the owner/author(s).
Keywords
- Nanotechnology
- Physically-based simulation
- Procedural game generation
Fingerprint
Dive into the research topics of 'MOF: Creating an educational game on nanotechnology through simulation-driven optimization'. Together they form a unique fingerprint.Projects
- 1 Finished
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NMGC: Nanoporous Materials Genome: Methods and Software to Optimize Gas Storage, Separations, and Catalysis (Phase 1)
Siepmann, I. (PI), Cramer, C. (CoI), Gagliardi, L. (CoI), Truhlar, D. G. (CoI), Tsapatsis, M. (CoI) & Goodpaster, J. D. (CoI)
9/1/12 → 8/31/17
Project: Research project