Dan Christiansen, PhD

Dan Christiansen, PhD

Research Profile

Publications

6. D. E. Christiansen, G. Cheng, S. Mehraeen, “Zwitterion Hydration and Ion Association Design Principles Elucidated by Simulation and Machine Learning”, Doctoral Thesis, 2023.

5. D. E. Christiansen, G. Cheng, S. Mehraeen, “Prediction of zwitterion hydration and ion association properties using machine learning”, Soft Matter, 19, 2023.

4. D. E. Christiansen, G. Cheng, S. Mehraeen, “Hydration and ion interactions of zwitterionic homopolymers with varying carbon spacer lengths”, Chemical Engineering Research and Design, 186, 2022.

3. H. Wang, X. Liu, D. E. Christiansen, S. Fattahpour, K. Wang, H. Song, S. Mehraeen, G. Cheng, “Thermoplastic polyurethane with controllable degradation and critical anti-fouling properties”, Biomaterials Science, 9, 2021.

2. H. Wang, D. E. Christiansen, S. Mehraeen, G. Cheng, “Winning the fight against biofilms: the first six-month study showing no biofilm formation on zwitterionic polyurethanes”, Chemical Science, 11, 2020.

1. D. E. Christiansen, S. Mehraeen, “Impact of active layer morphology, density of states, charge carrier concentration, and local charge density fluctuations on bimolecular recombination of bulk heterojunction solar cells: A theoretical perspective”, IntechOpen, ISBN: 978-1-78984-742-0, 2019.

Presentations & Posters

10. D. E. Christiansen, F. Aguirre-Vargas, S. Mukhopadhyay, A. Pradhan, Methodologies for the Inverse Design of Polyurethane Foam Materials, AIChE Spring Conference, Industry 4.0 Topical Conference, 2024.

9. D. E. Christiansen, G. Cheng, S. Mehraeen, Multiscale machine learning approach to modeling structure-property relationships of polybetaines, ACS Fall Conference, Chemical Information Division, 2022 (Accepted oral presentation; Invited to represent the ACS Division of Chemical Information at Sci-Mix) - Link to poster Link to seminar

8. D. E. Christiansen, G. Cheng, S. Mehraeen, Machine Learning Prediction of Hydration and Ion Association Properties of Zwitterions, AIChE Chicago Section Student Poster Competition, 2022, Chicago, IL.

7. D. E. Christiansen, G. Cheng, S. Mehraeen, Machine Learning Prediction of Hydration and Ion Association Properties of Zwitterions, AIChE Midwest Regional Conference, 2022, Chicago, IL.

6. S. Mukhopadhyay, D. E. Christiansen, H. Chao, J. Claracq, F. Aguirre-Vargas, P. Cookson, B. Shuang, A. Schmidt, K. Torkelson, R. Venkatesh, X. Yu, Machine Learning Approaches to Predict Density and Resiliency of Polyurethane Flexible Foams, Industry 4.0 Topical Conference, 2022.

5. D. E. Christiansen, G. Cheng, S. Mehraeen, Molecular dynamics study of tensile strength and ionic conductivity of carboxybetaine, TRIPODS Institute on the Foundations of Data Science, Discovery Partners Institute, January 2020, Chicago, IL.

4. D. E. Christiansen, S. Bliesner, J. N. L. Albert, Raster solvent vapor annealing of semicrystalline homopolymer thick films, American Chemical Society Spring Conference. March 2018, New Orleans, LA.

3. D. E. Christiansen, S. Bliesner, J. N. L. Albert, Raster solvent vapor annealing of semicrystalline homopolymer thick films, Applied Polymer Technology Extended Consortium. November 2017, University of Southern Mississippi, Hattiesburg, Mississippi.

2. D. E. Christiansen, B. Thompson, J. A. Pojman, Radical-induced cationic frontal polymerization of divinyl ethers, Louisiana State University Summer Undergraduate Research Forum. July 2017, Baton Rouge, Louisiana.

1. D. E. Christiansen, J. Heiser, Developing an Arduino controlled datalogger for pyranometers, SULI BNL Summer Internship Symposium and Poster Session; Life Sciences Seminar. August 2016, Upton, New York.