Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
- 1 Similar Profiles
Phase equilibria
Chemical Compounds
Alkanes
Chemical Compounds
Vapors
Chemical Compounds
Liquids
Chemical Compounds
simulation
Physics & Astronomy
Water
Chemical Compounds
Zeolites
Chemical Compounds
field theory (physics)
Physics & Astronomy
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 1998 2021
Collaborative Proposal: CSSI Software Framework: Building a Community-Based Molecular Modeling Capability Around the Molecular Simulation Design Framework (MoSDeF)
10/1/18 → 9/30/21
Project: Research project
Molecular modeling
NMGC: Nanoporous Materials Genome: Methods and Software to Optimize Gas Storage, Separations, and Catalysis (Phase 2)
Siepmann, I., Cramer, C., Gagliardi, L., Truhlar, D. G., Tsapatsis, M. & Goodpaster, J. D.
United States Department of Energy
9/1/17 → 8/31/21
Project: Research project
Functional materials
Electronic structure
Learning systems
Experiments
Physics
MRSEC IRG-3: Hierarchical Multifunctional Macromolecular Materials
Reineke, T. M., Bates, F. S., Dorfman, K., Dutcher, C. S., Hillmyer, M. A., Lodge, T. P., Morse, D. C., Siepmann, I., Barreda, L. & Ganewatta, M. S.
1/1/98 → …
Project: Research project
Foundations of Molecular Modeling and Simulation: Junior
United States Department of Energy
7/1/18 → 6/30/19
Project: Research project
Research Personnel
Research Output 1990 2019
A new equation of state for homo-polymers in dissipative particle dynamics
Minkara, M. S., Hembree, R., Jamadagni, S. N., Ghobadi, A. F., Eike, D. M. & Siepmann, I., Mar 28 2019, In : Journal of Chemical Physics. 150, 12, 124104.Research output: Contribution to journal › Article
Open Access
Equations of state
Polymers
equations of state
polymers
virial coefficients
1
Citation
(Scopus)
Column selection for comprehensive two-dimensional liquid chromatography using the hydrophobic subtraction model
Lindsey, R. K., Eggimann, B. L., Stoll, D. R., Carr, P. W., Schure, M. R. & Siepmann, I., Mar 29 2019, In : Journal of Chromatography A. 1589, p. 47-55 9 p.Research output: Contribution to journal › Article
Liquid chromatography
Liquid Chromatography
Screening
Intuition
Deep neural network learning of complex binary sorption equilibria from molecular simulation data
Sun, Y., Dejaco, R. F. & Siepmann, I., Jan 1 2019, In : Chemical Science. 10, 16, p. 4377-4388 12 p.Research output: Contribution to journal › Article
Open Access
Zeolites
Sorption
Silicon Dioxide
Neural networks
Water
Introducing JCED's Latin America Special Issue
Brennecke, J. F., Kofke, D. A., Kroon, M., Mathias, P. M., Sadowski, G., Siepmann, I. & Wu, J., May 9 2019, In : Journal of Chemical and Engineering Data. 64, 5, 1 p.Research output: Contribution to journal › Editorial
Metal-Organic Frameworks with Metal-Catecholates for O2/N2 Separation
Demir, H., Stoneburner, S. J., Jeong, W., Ray, D., Zhang, X., Farha, O. K., Cramer, C., Siepmann, I. & Gagliardi, L., May 23 2019, In : Journal of Physical Chemistry C. 123, 20, p. 12935-12946 12 p.Research output: Contribution to journal › Article
Metals
metals
Density functional theory
density functional theory
Binding energy