College of Arts and Sciences
Russ College of Engineering and Technology
Faculty
Sumit Sharma
Associate Professor
Biomedical Engineering
Chemical and Biomolecular Engineering
Faculty Senate
Institute for Corrosion and Multiphase Technology
Nanoscale Quantum Phenomena Institute
Research Interests
- Molecular Modeling and Simulations
- Thermodynamics and Statistical Mechanics
- Biomolecular Systems
- Polymers
- Machine Learning
Journal Article, Academic Journal (50)
- Ramezani, Y., Sharma, S. (2026). Hydration Free Energies of Linear Alkanes: Systematic Deviations in Common Water Models and Their Correction. The Journal of Physical Chemistry B; https://pubs.acs.org/doi/10.1021/acs.jpcb.5c07832.
- Whitmore, L., Ramezani, Y., Sharma, S., Shirts, M. (2025). Force switching and potential shifting lead to significant cutoff dependence in alchemical free energies. 16. Journal of Chemical Theory and Computation; 21: 7967–7976. https://pubs.acs.org/doi/full/10.1021/acs.jctc.5c00646.
- Nagar, H., Sharma, S. (2025). Role of surface functional groups in the adsorption behavior of microcystin-LR on graphene surfaces. Chemosphere; 374: 144169. https://www.sciencedirect.com/science/article/pii/S0045653525001110.
- Ahmadbeigi, A., Sharma, S. (2025). Thermodynamic Modeling and Molecular Simulations of Solubility of Water in Supercritical Carbon Dioxide at High Pressures. Journal of Molecular Liquids; 421: 126863. https://www.sciencedirect.com/science/article/pii/S0167732225000212.
- Mehrani, R., Mondal, J., Ghazanfari, D., Goetz, D., McCall, K., Bergmeier, S., Sharma, S. (2024). Capturing the Effects of Single Atom Substitutions on the Inhibition Efficiency of Glycogen Synthase Kinase-3β Inhibitors via Markov State Modeling and Experiments. 14. J Chem Theory Comput; 20: 6278-6286.
- Hammond, C., Kareem, M., Bradford, S., Che, D., Sharma, S., Wu, L. (2024). Predicting a Wide Range of Fractal Dimensions of Salt-Induced Aggregates in Water Using a Random Forest Model. 45. Langmuir; 40: 23606–23615. https://pubs.acs.org/doi/abs/10.1021/acs.langmuir.4c01182.
- Mehrani, R., Mondal, J., Ghazanfari, D., Goetz, D., McCall, K., Bergmeier, S., Sharma, S. (2024). Capturing the Effects of Single Atom Substitutions on the Inhibition Efficiency of Glycogen Synthase Kinase-3β Inhibitors via Markov State Modeling and Experiments. Journal of Chemical Theory and Computations; https://pubs.acs.org/doi/abs/10.1021/acs.jctc.4c00311.
- Hammond, C., Qadikolae, A., Aghaaminiha, M., Sharma, S., Wu, L. (2024). New Insights into the Formation of Aggregates of Bidisperse Nano- and Microplastics in Water Based on the Analysis of In Situ Microscopy and Molecular Simulation. 28. Langmuir; 40: 14455–14466. https://pubs.acs.org/doi/abs/10.1021/acs.langmuir.4c01216.
- Norooziasl, N., Qadikolae, A., Young, D., Brown, B., Sharma, S., Singer, M. (2024). Experiments and Molecular Simulations to Study the Effect of Surface-Active Compounds in Mixtures of Model Oils on CO2 Corrosion during Intermittent Oil–Water Wetting. Langmuir; https://pubs.acs.org/doi/10.1021/acs.langmuir.4c00052#.
- Eslami, M., Sharma, S., Young, D., Singer, M. (2024). Efficiency of Volatile Corrosion Inhibitors in the Presence of n-Heptane: An Experimental and Molecular Simulation Study. Corrosion Journal; https://meridian.allenpress.com/corrosion/article-abstract/doi/10.5006/4531/499900/Efficiency-of-Volatile-Corrosion-Inhibitors-in-the?redirectedFrom=fulltext.
- Escobedo, F., Haji-Akbari, A., Sharma, S. (2024). Introduction to Computational and Theoretical Studies Focused on Self-Assembly and Molecular Organization. 4. Journal of Chemical Theory and Computations; 20: 1503-1504. https://pubs.acs.org/doi/full/10.1021/acs.jctc.4c00147.
- Chambers, C., Nagar, H., Sharma, S., Reza, M. (2023). Elucidating microcystin-LR adsorption on pyrolyzed hydrochars via experiments and molecular simulations. Journal of Analytical and Applied Pyrolysis; 176: 106243. https://www.sciencedirect.com/science/article/pii/S016523702300387X.
- Dasgupta, D., Mehrani, R., Carlson, H., Sharma, S. (2023). Identifying Potential Ligand Binding Sites on Glycogen Synthase Kinase 3 Using Atomistic Cosolvent Simulations. ACS Applied Bio Materials; https://pubs.acs.org/doi/full/10.1021/acsabm.2c01079.
- Aghaaminiha, M., Farnoud, A., Sharma, S. (2023). Interdependence of Cholesterol Distribution and Conformational Order in Lipid Bilayers. 3. Biointerphases; 18: 031001. https://pubs.aip.org/avs/bip/article/18/3/031001/2887740/Interdependence-of-cholesterol-distribution-and?searchresult=1.
- Faeli Qadikolae, A., Sharma, S. (2023). Molecular Simulations of Adsorption of Surfactant Micelles on Partially and Fully Covered Iron Surfaces. Journal of Molecular Liquids; 379: 121685. https://www.sciencedirect.com/science/article/pii/S0167732223004889.
- Qadikolae, A., Sharma, S. (2022). Facet Selectivity of Cetyltrimethyl Ammonium Bromide Surfactants on Gold Nanoparticles Studied Using Molecular Simulations. 48. The Journal of Physical Chemistry B; 126: 10249-10255. https://pubs.acs.org/doi/abs/10.1021/acs.jpcb.2c06236.
- Singh, H., Sharma, S. (2022). Understanding the Hydration Thermodynamics of Cationic Quaternary Ammonium and Charge-Neutral Amine Surfactants. 47. The Journal of Physical Chemistry B; 126: 9810-9820. https://pubs.acs.org/doi/abs/10.1021/acs.jpcb.2c03562.
- Baheri, B., Lindenberger, A., Sharma, S., Lee, S. (2022). Characterization of linear low-density polyethylene and halloysite nanotube (LLDPE/HNT) composites based on two-roll calendering melt fabrication. 5. Journal of Applied Polymer Science; 140: e53259. https://onlinelibrary.wiley.com/doi/abs/10.1002/app.53259.
- Wang, H., Sharma, S., Pailleret, A., Brown, B., Nesic, S. (2022). Investigation of corrosion inhibitor adsorption on mica and mild steel using electrochemical atomic force microscopy and molecular simulations. 10. Corrosion; 78: 978-990. https://meridian.allenpress.com/corrosion/article-abstract/78/10/978/484971/Investigation-of-Corrosion-Inhibitor-Adsorption-on.
- Mehrani, R., Sharma, S. (2022). Stability of water confined between supported self-assembled monolayers. 27. The Journal of Physical Chemistry B; 126: 5110-5116. https://pubs.acs.org/doi/full/10.1021/acs.jpcb.2c00588.
- Singh, H., Sharma, S. (2022). Hydration of linear alkanes is governed by the small length-scale hydrophobic effect. 6. Journal of Chemical Theory and Computation; 18: 3805-3813. https://pubs.acs.org/doi/abs/10.1021/acs.jctc.2c00219.
- Hammond, C., Aghaaminiha, M., Sharma, S., Shen, C., Chen, H., Wu, L. (2022). Mesoscale aggregation of sulfur-rich asphaltenes: In-situ microscopy and coarse-grained molecular simulation. 22. Langmuir; 38: 6896-6910. https://pubs.acs.org/doi/abs/10.1021/acs.langmuir.2c00323.
- Singh, H., Sharma, S. (2022). Determination of Equilibrium Adsorbed Morphologies of Surfactants at Metal-Water Interfaces Using a Modified Umbrella Sampling-Based Methodology. Journal of Chemical Theory and Computation; https://pubs.acs.org/doi/abs/10.1021/acs.jctc.2c00078.
- Aghaaminiha, M., Mehrani, R., Colahan, M., Brown, B., Singer, M., Nesic, S., Vargas, S., Sharma, S. (2021). Machine learning modeling of time-dependent corrosion rates of carbon steel in presence of corrosion inhibitors. Corrosion Science; 193: 109904.
- Aghaaminiha, M., Mehrani, R., Colahan, M., Brown, B., Singer, M., Nesic, S., Vargas, S., Sharma, S. (2021). Machine learning modeling of time-dependent corrosion rates of carbon steel in presence of corrosion inhibitors. Corrosion Science; 193: 109904. https://www.sciencedirect.com/science/article/pii/S0010938X21006703#!.
- Mohammadreza, A., Mehrani, R., Reza, T., Sharma, S. (2021). Comparison of machine learning methodologies for predicting kinetics of hydrothermal carbonization of selective biomass. Biomass Conversion and Biorefinery.
- Sharma, D., Kare, A., Valsaraj, K., Sharma, S. (2021). Intensification of a Neutralization Process for Waste Generated from Ion Exchange Regeneration for Expansion of a Chemical Manufacturing Facility. Processes; 9: 1285. https://www.mdpi.com/2227-9717/9/8/1285.
- Aghaaminiha, M., Farnoud, A., Sharma, S. (2021). Quantitative relationship between cholesterol distribution and ordering of lipids in asymmetric lipid bilayers. Soft Matter; 17: 2742. https://pubs.rsc.org/en/content/articlelanding/2021/sm/d0sm01709d/unauth#!divAbstract.
- Mehrani, R., Sharma, S. (2021). Behavior of water confined between hydrophobic surfaces with grafted segments. Colloid and Interface Science Communications; 40: 100355. https://www.sciencedirect.com/science/article/pii/S2215038220301357?dgcid=author.
- Khan, M., Singh, H., Sharma, S., Cimatu, K. (2020). Direct Observation of Adsorption Morphologies of Cationic Surfactants at the Gold Metal–Liquid Interface. 22. The Journal of Physical Chemistry Letters; 11: 9901-9906. https://pubs.acs.org/doi/abs/10.1021/acs.jpclett.0c02517.
- Ko, X., Olivo, J., Brown, B., Nesic, S., Sharma, S. (2020). Experiments and Molecular Simulations to Study the Role of Co-adsorption of Oil in Corrosion Inhibitor Films in Improving Corrosion Mitigation. CORROSION; 76: https://www.corrosionjournal.org/doi/abs/10.5006/3606.
- Ko, X., Sharma, S. (2020). A Quantitatively Accurate Theory to Predict Adsorbed Configurations of Asymmetric Surfactant Molecules on Polar Surfaces. 26. The Journal of Physical Chemistry B; 124: 5517 - 5524. https://pubs.acs.org/doi/10.1021/acs.jpcb.0c02681.
- Singh, H., Sharma, S. (2020). Free Energy Profiles of Adsorption of Surfactant Micelles at Metal-Water Interfaces. Molecular Simulation.
- Singh, H., Sharma, S. (2020). Disintegration of Surfactant Micelles at Metal-Water Interfaces Promotes their Strong Adsorption. https://pubs.acs.org/doi/abs/10.1021/acs.jpcb.9b10780.
- Sharma, S., Singh, H., Ko, X. (2019). A Quantitatively Accurate Theory to Predict Adsorbed Configurations of Linear Surfactants on Polar Surfaces. 34. The Journal of Physical Chemistry B; 123: 7464-7470. https://pubs.acs.org/doi/abs/10.1021/acs.jpcb.9b05861.
- Khosravi, Z., Sharma, S., Farnoud, A. (2019). Sub-micron polymeric particles accelerate insulin fibrillation by surface adsorption. 2. Biointerphases; 14: 021001.
- Carey, H., Hildreth, 3rd, B., Samuvel, D., Thies, K., Rosol, T., Toribio, R., Charles, J., Ostrowski, M., Sharma, S. (2019). Eomes partners with PU.1 and MITF to Regulate Transcription Factors Critical for osteoclast differentiation.. iScience; 11: 238-245.
- Ghasemi, M., Ramsheh, S., Sharma, S. (2018). Quantitative assessment of thermodynamic theory in elucidating behavior of water under hydrophobic confinement. Journal of Physical Chemistry B; https://pubs.acs.org/doi/abs/10.1021/acs.jpcb.8b09026.
- Sharma, S., Ko, X., Kurapati, Y., Himanshu, S., Nesic, S. (2018). Adsorption behavior of organic corrosion inhibitors on metal surfaces – some new insights from molecular simulations. Corrosion; https://www.corrosionjournal.org/doi/abs/10.5006/2976.
- Kurapati, Y., Sharma, S. (2018). Adsorption free energies of imidazolinium-type surfactants in infinite dilution and in micellar state on gold surface. Journal of Physical Chemistry B; 122: 5933-5939. https://pubs.acs.org/doi/abs/10.1021/acs.jpcb.8b02358.
- Ko, X., Sharma, S. (2017). Adsorption and self-assembly of surfactants on metal-water interfaces. 45. Journal of Physical Chemistry B; 121: 10364 - 10370. https://pubs.acs.org/doi/abs/10.1021/acs.jpcb.7b09297.
- Remsing, R., Xi, E., Vembanur, S., Sharma, S., Debenedetti, P., Garde, S., Patel, A. (2015). Pathways to dewetting in hydrophobic confinement. Proceedings of the National Academy of Sciences U.S.A.; 112: 8181-8186. https://www.pnas.org/content/112/27/8181.short.
- Sharma, S., Buldyrev, S., Debenedetti, P., Rossky, P., Stanley, E., Kumar, S. (2013). A coarse grained protein model in water – like solvent. Nature Scientific Reports; 3: 1841. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3653448/.
- Sharma, S., Debenedetti, P. (2012). Free energy barriers to evaporation of water in hydrophobic confinement. 44. The Journal of Physical Chemistry B; 116: 13282 - 13289. https://pubs.acs.org/doi/abs/10.1021/jp308362h.
- Radhakrishna, M., Sharma, S., Kumar, S. (2012). Enhanced Wang Landau sampling of adsorbed protein conformations. 11. The Journal of Chemical Physics; 136: 114114. https://aip.scitation.org/doi/abs/10.1063/1.3691669.
- Sharma, S., Debenedetti, P. (2012). Evaporation rate of water in hydrophobic confinement. 12. Proceedings of the National Academy of Sciences U.S.A.; 109: 4365 - 4370. https://www.pnas.org/content/109/12/4365.short.
- Anand, G., Sharma, S., Dutta, A., Kumar, S., Belfort, G. (2010). Conformational transitions of adsorbed proteins on surfaces of varying polarity. 13. Langmuir; 26: 10803-10811. https://pubs.acs.org/doi/abs/10.1021/la1006132.
- Sharma, S., Berne, B., Kumar, S. (2010). Thermal and structural stability of adsorbed proteins. 4. Biophysical Journal; 99: 1157-1165. https://www.sciencedirect.com/science/article/pii/S0006349510006685.
- Anand, G., Sharma, S., Kumar, S., Belfort, G. (2009). Stability of Tethered Proteins. 9. Langmuir; 25: 4998-5005. https://pubs.acs.org/doi/abs/10.1021/la803771d.
- Sharma, S., Kumar, S. (2008). Finite size effects on locating conformational transitions for macromolecules. The Journal of Chemical Physics; 129: 134901. https://aip.scitation.org/doi/abs/10.1063/1.2979142.
Journal Article, Professional Journal (1)
- Wang, H., Sharma, S., Pailleret, A., Brown, B., Nesic, S. (2022). Investigation of corrosion inhibitor adsorption on mica and mild steel using electrochemical atomic force microscopy and molecular simulations. Corrosion Journal.
Book, Chapter in Textbook (1)
- Singh, H., Sharma, S. (2023). Understanding the Adsorption Behaviour of Corrosion Inhibitors on Metal–Water and Air–Water Interfaces from Molecular Simulations. 1. Taylor & Francis Group; 51-73. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003242550-4/understanding-adsorption-behaviour-corrosion-inhibitors-metal%E2%80%93water-air%E2%80%93water-interfaces-molecular-simulations-himanshu-singh-sumit-sharma.
Conference Proceeding (3)
- Ko, X., Sharma, S. (2020). Adsorption and Self-Assembly of Corrosion Inhibitors on Metallic Surfaces Studied Using Molecular Simulations. NACE Corrosion 2020.
- Singh, H., Sharma, S. (2020). Designing Corrosion Inhibitors with High Aqueous Solubility and Low Tendency towards Micellization: A Molecular Dynamics Study. NACE Corrosion 2020.
- Singh, H., Kurapati, Y., Sharma, S. (2019). Aggregation and Adsorption Behavior of Organic Corrosion Inhibitors studied using Molecular Simulations. NACE Corrosion; 12953.