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
Predictive Hierarchical Modeling of Chemical Separations
Siepmann, I., Cramer, C., Gagliardi, L., Truhlar, D. G. & Tsapatsis, M.
9/1/12 → 8/31/20
Project: Research project
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
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
Assessing the Quality of Molecular Simulations for Vapor-Liquid Equilibria: An Analysis of the TraPPE Database
Eggimann, B. L., Sun, Y., Dejaco, R. F., Singh, R., Ahsan, M., Josephson, T. R. & Siepmann, I., Jan 1 2019, (Accepted/In press) In : Journal of Chemical and Engineering Data.Research output: Contribution to journal › Article
Phase equilibria
Molecular modeling
Vapor pressure
Compressibility
Data acquisition
2
Citations
(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
Editorial
Siepmann, I., Kofke, D. A. & Brennecke, J. F., Sep 12 2019, In : Journal of Chemical and Engineering Data. 64, 9, 1 p.Research output: Contribution to journal › Editorial