Projects per year
Personal profile
Research interests
Dr. Eric Jankowski is the Director of the Micron School of Materials Science and Engineering. Dr. Jankowski joined Boise State University in January 2015 and leads the Computational Materials Engineering Laboratory. The overall goal of Dr. Jankowski’s work is to leverage thermodynamics for societal good. This means understanding the factors that govern molecular self-assembly, and using that knowledge to engineer materials for generating energy, storing data, or curing disease. The approach taken by Dr. Jankowski is to create and use computational tools that efficiently generate important configurations of molecules. The goal of these computational models are: (1) To provide fundamental insight into material structure when physical characterization is inadequate, and (2) To identify the most promising material candidates when there are too many choices. Consequently, one of Dr. Jankowski’s research goals is to develop new computational techniques that solve open problems in materials simulation. Dr. Jankowski’s teaching goals include developing new curricula for scientific computation in engineering disciplines and demonstrating how practical and fun it is to use thermodynamics to solve engineering design problems.
Educational Background
Dr. Jankowski receiving his BSE, MS, and PhD all from the University of Michigan. During his PhD he worked under the mentorship of Dr. Sharon C. Glozter, focusing on the development of computational tools to study the self-assembly of nanoparticles. Dr. Jankowski began focusing on renewable energy generation during his postdoctoral positions at the University of Colorado and the National Renewable Energy Laboratory. At these postdocs, Dr. Jankowski applied techniques he developed during his thesis to understand factors that determine the ordering of molecules in organic solar cells.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Collaborative Research: Scalable Storytelling Interventions to Support Graduate Student Success in STEM
Jankowski, E. (CoPI), Pakala, K. (PI), Hamby, A. (CoPI) & Pokimica, J. (CoPI)
1/10/23 → 30/09/26
Project: Research
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Embedding Personal Narratives in Engineering Courses to Improve Engineering Student Success
Jankowski, E. (CoPI), Pakala, K. (PI), Hagenah, S. (CoPI), Lowenthal, P. (CoPI) & Hamby, A. (CoPI)
1/07/22 → 30/06/25
Project: Research
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Representing Structural Isomer Effects in a Coarse-Grain Model of Poly(Ether Ketone Ketone)
Jones, C. D., Fothergill, J. W., Barrett, R., Ghanbari, L. N., Enos, N. R., McNair, O., Wiggins, J. & Jankowski, E., Jan 2025, In: Polymers. 17, 1, 117.Research output: Contribution to journal › Article › peer-review
Open Access -
Validating Structural Predictions of Conjugated Macromolecules in Espaloma-Enabled Reproducible Workflows
Paul, M. E., Jones, C. D. & Jankowski, E., Jan 2025, In: International Journal of Molecular Sciences. 26, 2, 478.Research output: Contribution to journal › Article › peer-review
Open Access -
Board 380: Self-storytelling Interventions to Promote Engineering Student Success
Pakala, K., Jankowski, E., Hagenah, S., Hamby, A. & Ward, B., 23 Jun 2024, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
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Storytelling and Reflection
Hamby, A., Pakala, K., Jankowski, E. & Hagenah, S., 29 Mar 2024.Research output: Contribution to conference › Presentation
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Coarse-Graining of Anisotropic Molecules for Energy Materials Simulations
Montrose, N., Rojas, E., Barrett, R. & Jankowski, E., 12 Jul 2023.Research output: Contribution to conference › Presentation
Open AccessFile
Prizes
Datasets
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Dataset for General-Purpose Coarse-Grained Toughened Thermoset Model for 44DDS/DGEBA/PES
Henry, M. M. (Data Collector), Thomas, S. (Data Collector), Alberts, M. (Data Collector), Reynolds, C. E. (Data Collector), Farmer, B. A. (Data Collector), McNair, O. (Data Collector) & Jankowski, E. (Data Collector), 1 Oct 2020
DOI: 10.18122/cme_lab/6/boisestate, https://app.globus.org/file-manager?origin_id=165fda46-a29a-11e9-821c-02b7a92d8e58&origin_path=%2Fnetwork-shares%2Flibrary%2FHenry-2020%2F and 2 more links, https://scholarworks.boisestate.edu/cme_lab/6, https://app.globus.org/file-manager?origin_id=165fda46-a29a-11e9-821c-02b7a92d8e58&origin_path=%2Fnetwork-shares%2Flibrary%2FHenry-2020%2F (show fewer)
Dataset
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Molecular Dynamics Data for Optimization and Validation of Modeling Techniques for Predicting Structures and Charge Mobilities of P3HT
Miller, E. (Data Collector), Jones, M. L. (Data Collector), Henry, M. (Data Collector) & Jankowski, E. (Data Collector), 14 Sep 2018
DOI: 10.18122/cme_lab/4/boisestate, https://scholarworks.boisestate.edu/cme_lab/4 and one more link, https://scholarworks.boisestate.edu/context/cme_lab/article/1004/type/native/viewcontent (show fewer)
Dataset
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Machine Learning for Structure-Performance Relationships in Organic Semiconducting Devices
Miller, E. (Data Collector), Jones, M. L. (Data Collector) & Jankowski, E. (Data Collector), 18 May 2018
DOI: 10.18122/cme_lab/3/boisestate, https://scholarworks.boisestate.edu/cme_lab/3 and one more link, https://scholarworks.boisestate.edu/context/cme_lab/article/1002/type/native/viewcontent (show fewer)
Dataset
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AIChE 2018 CoMSEF Hands-On Workshop Molecular Modeling Toolbox
Jankowski, E. (Data Collector), 7 Nov 2018
DOI: 10.18122/cme_lab/5/boisestate, https://scholarworks.boisestate.edu/cme_lab/5 and one more link, https://scholarworks.boisestate.edu/context/cme_lab/article/1005/type/native/viewcontent (show fewer)
Dataset