Jayashree Kalyanaraman

Decarbonization expert with more than 10 years of experience

Clinton, New Jersey, United States of America

Research Expertise

Decarbonization
Process Modeling
Adsorption based CO2 removal processes
Mass Transfer Modeling
Kinetic Modeling
Post Combustion Carbon Capture
Direct Air Capture
Amine Absorption
Techno Economic Analysis
Life Cycle Assessment
Energy Analysis
Heat transfer modeling
Numerical Programming
Python
gPROMS
Aspen plus
Emission Classification
Solid oxide membranes
Liquid Adsorption

About

A seasoned Decarbonization Researcher with over 13 years of expertise in cutting-edge decarbonization technologies and strategies. Proven track record in post-combustion carbon capture, direct air capture, and blue hydrogen generation. Specialized in low-energy hydrocarbon separation using advanced liquid adsorption techniques and membrane reactor-based methane reforming. Highly proficient in computational tools like Python (parallel computing) and MATLAB, with extensive experience in process modeling software such as gPROMS, Aspen Plus, and CFD tools like Ansys Fluent. Adept at emissions classification, Life Cycle Assessments, and driving sustainability through innovative, scalable solutions in energy and resource management.

Publications

Modeling of rapid temperature swing adsorption using hollow fiber sorbents

Chemical Engineering Science / Jul 01, 2014

Rezaei, F., Subramanian, S., Kalyanaraman, J., Lively, R. P., Kawajiri, Y., & Realff, M. J. (2014). Modeling of rapid temperature swing adsorption using hollow fiber sorbents. Chemical Engineering Science, 113, 62–76. https://doi.org/10.1016/j.ces.2014.04.002

Critical Comparison of Structured Contactors for Adsorption-Based Gas Separations

Annual Review of Chemical and Biomolecular Engineering / Jun 07, 2018

DeWitt, S. J. A., Sinha, A., Kalyanaraman, J., Zhang, F., Realff, M. J., & Lively, R. P. (2018). Critical Comparison of Structured Contactors for Adsorption-Based Gas Separations. Annual Review of Chemical and Biomolecular Engineering, 9(1), 129–152. https://doi.org/10.1146/annurev-chembioeng-060817-084120

Modeling and experimental validation of carbon dioxide sorption on hollow fibers loaded with silica-supported poly(ethylenimine)

Chemical Engineering Journal / Jan 01, 2015

Kalyanaraman, J., Fan, Y., Lively, R. P., Koros, W. J., Jones, C. W., Realff, M. J., & Kawajiri, Y. (2015). Modeling and experimental validation of carbon dioxide sorption on hollow fibers loaded with silica-supported poly(ethylenimine). Chemical Engineering Journal, 259, 737–751. https://doi.org/10.1016/j.cej.2014.08.023

CO2 Sorption Performance of Composite Polymer/Aminosilica Hollow Fiber Sorbents: An Experimental and Modeling Study

Industrial & Engineering Chemistry Research / Feb 05, 2015

Fan, Y., Kalyanaraman, J., Labreche, Y., Rezaei, F., Lively, R. P., Realff, M. J., Koros, W. J., Jones, C. W., & Kawajiri, Y. (2015). CO2 Sorption Performance of Composite Polymer/Aminosilica Hollow Fiber Sorbents: An Experimental and Modeling Study. Industrial & Engineering Chemistry Research, 54(6), 1783–1795. https://doi.org/10.1021/ie504603h

Uncertainty quantification via bayesian inference using sequential monte carlo methods for CO2 adsorption process

AIChE Journal / Jul 05, 2016

Kalyanaraman, J., Kawajiri, Y., Lively, R. P., & Realff, M. J. (2016). Uncertainty quantification via bayesian inference using sequential monte carlo methods for CO2 adsorption process. AIChE Journal, 62(9), 3352–3368. Portico. https://doi.org/10.1002/aic.15381

Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents

Computers & Chemical Engineering / Oct 01, 2015

Kalyanaraman, J., Fan, Y., Labreche, Y., Lively, R. P., Kawajiri, Y., & Realff, M. J. (2015). Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents. Computers & Chemical Engineering, 81, 376–388. https://doi.org/10.1016/j.compchemeng.2015.04.028

Bayesian design of experiments for adsorption isotherm modeling

Computers & Chemical Engineering / Apr 01, 2020

Kalyanaraman, J., Kawajiri, Y., & Realff, M. J. (2020). Bayesian design of experiments for adsorption isotherm modeling. Computers & Chemical Engineering, 135, 106774. https://doi.org/10.1016/j.compchemeng.2020.106774

Optimum relative humidity enhances CO2 uptake in diamine-appended M2(dobpdc)

Chemical Engineering Journal / Dec 01, 2023

Holmes, H. E., Ghosh, S., Li, C., Kalyanaraman, J., Realff, M. J., Weston, S. C., & Lively, R. P. (2023). Optimum relative humidity enhances CO2 uptake in diamine-appended M2(dobpdc). Chemical Engineering Journal, 477, 147119. https://doi.org/10.1016/j.cej.2023.147119

Bayesian Estimation, Uncertainty Propagation and Design of Experiments for CO2 Adsorption on Amine Sorbents

Computer Aided Chemical Engineering / Jan 01, 2014

Kalyanaraman, J., Kawajiri, Y., & Realff, M. J. (2014). Bayesian Estimation, Uncertainty Propagation and Design of Experiments for CO2 Adsorption on Amine Sorbents. In Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design (pp. 345–350). Elsevier. https://doi.org/10.1016/b978-0-444-63433-7.50042-0

Fundamental modeling and experimental validation of hydrogen and oxygen transport through mixed ionic and electronic conducting membranes

Journal of Membrane Science / Oct 01, 2022

Kalyanaraman, J., Morejudo, S. H., Kjølseth, C., Beeaff, D., Vigen, C., Johnson, J. R., & McCool, B. A. (2022). Fundamental modeling and experimental validation of hydrogen and oxygen transport through mixed ionic and electronic conducting membranes. Journal of Membrane Science, 660, 120797. https://doi.org/10.1016/j.memsci.2022.120797

Optimization and heat integration of hollow fiber based thermal swing adsorption process for CO2 capture from flue gas

Computer Aided Chemical Engineering / Jan 01, 2014

Swernath, S., Rezaei, F., Kalyanaraman, J., Lively, Ryan. P., Realff, M. J., & Kawajiri, Y. (2014). Optimization and heat integration of hollow fiber based thermal swing adsorption process for CO2 capture from flue gas. In Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design (pp. 633–638). Elsevier. https://doi.org/10.1016/b978-0-444-63433-7.50090-0

Cloud-Based, High-Throughput, End-To-End Computational Screening of Solid Sorbent Materials for Carbon Capture

SSRN Electronic Journal / Jan 01, 2022

Neumann Barros Ferreira, R., O Conchuir, B., Elengikal, T., Luan, B., Ohta, R. L., Lopes Oliveira, F., Mhadeshwar, A., Kalyanaraman, J., Sundaram, A., Falkowski, J., Rodrigues Szlachta, J., Joshi, Y., & Steiner, M. (2022). Cloud-Based, High-Throughput, End-To-End Computational Screening of Solid Sorbent Materials for Carbon Capture. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4275135

Separation of multicomponent aromatic/aliphatic mixtures by simulated moving bed adsorption: Modeling and experiments

AIChE Journal / Jul 27, 2021

Yang, S., Kalyanaraman, J., Jayachandrababu, K. C., Fu, Q., Guo, S., Partridge, R. D., Joshi, Y. V., Paek, C., & Nair, S. (2021). Separation of multicomponent aromatic/aliphatic mixtures by simulated moving bed adsorption: Modeling and experiments. AIChE Journal, 67(10). Portico. https://doi.org/10.1002/aic.17375

Improving Energy Efficiency of Air Separation via Hollow Fiber Sorbents

Mar 29, 2019

Rosinski, A., Swindlehurst, G., Du, H., Lively, R. P., Kawajiri, Y., Realff, M., Koros, W. J., Koh, D.-Y., Babu, V., Kalyanaraman, J., & Sujan, A. (2019). Improving Energy Efficiency of Air Separation via Hollow Fiber Sorbents. Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/1503603

Rapid Temperature Swing Adsorption using Polymeric/Supported Amine Hollow Fibers

Mar 31, 2015

Chance, R., Chen, G., Dai, Y., Fan, Y., Jones, C., Kalyanaraman, J., Kawajiri, Y., Koros, W., Lively, R., McCool, B., Pang, S., Realff, M., Rezaei, F., Searcy, K., Sholl, D., Subramanian, S., & Pang, S. (2015). Rapid Temperature Swing Adsorption using Polymeric/Supported Amine Hollow Fibers. Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/1238342

Optimum Relative Humidity Enhances Co2 Uptake in Diamine-Appended M2(Dobpdc)

Jan 01, 2023

Holmes, H. E., Ghosh, S., Li, C., Kalyanaraman, J., Realff, M. J., Weston, S. C., & Lively, R. (2023). Optimum Relative Humidity Enhances Co2 Uptake in Diamine-Appended M2(Dobpdc). https://doi.org/10.2139/ssrn.4563323

Methane pyrolysis in monovalent alkali halide salts: Kinetics and pyrolytic carbon properties

International Journal of Hydrogen Energy / Feb 01, 2021

Parkinson, B., Patzschke, C. F., Nikolis, D., Raman, S., Dankworth, D. C., & Hellgardt, K. (2021). Methane pyrolysis in monovalent alkali halide salts: Kinetics and pyrolytic carbon properties. International Journal of Hydrogen Energy, 46(9), 6225–6238. https://doi.org/10.1016/j.ijhydene.2020.11.150

Process design of aqueous ammonia-based post-combustion CO2 capture

Journal of the Taiwan Institute of Chemical Engineers / Sep 01, 2017

Liu, J. (2017). Process design of aqueous ammonia-based post-combustion CO2 capture. Journal of the Taiwan Institute of Chemical Engineers, 78, 240–246. https://doi.org/10.1016/j.jtice.2017.06.008

Education

Georgia Institute of Technology

PhD, Chemical Engineering / May, 2017

Atlanta, Georgia, United States of America

Indian Institute of Technology Madras

M.Tech, Chemical Engineering / June, 2007

Chennai

Anna University, Chennai

B.Tech, Chemical Engineering / April, 2005

Chennai

Experience

ExxonMobil Research and Engineering

Research Associate / January, 2022July, 2024

Advanced Carbon Capture Technologies: Advanced the development and technical readiness of carbon capture systems using liquid amines and solid adsorbents by enabling the identification of limiting phenomena in the design and operation of those systems. Data-Driven Material Discovery for Carbon Capture: Optimized the automated material discovery using physics-based models in its workflow, successfully screening thousands of active materials for post-combustion carbon capture. Design of Commercial Reactors for Blue Hydrogen: Enabled the optimal design of reactors using computational fluid dynamics (CFD) simulations. Methane to Carbon Nanotubes: Advanced the scale-up of the floating catalyst process by the development of fundamental and predictable process modes.

Senior Researcher / February, 2020December, 2021

Solid Oxide-Based Hydrogen Transport Membranes: Pioneered breakthrough technology by unraveling the complex interplay of ionic transport, catalytic reactions, and mass transfer on the shell side, while mastering heat transfer dynamics on the tube side, all occurring simultaneously within the membrane system.

Advanced Researcher / October, 2017January, 2020

Low-Energy Adsorption-Based Hydrocarbon Separation: Engineered the design of a simulated moving bed process by leveraging rigorous, first-principles-based mathematical models, optimizing system efficiency and energy use.

Georgia Institute of technology

Post Doctoral Fellow / June, 2017September, 2017

Air Separation Design Optimization: Developed and optimized multi-bed pressure-swing adsorption models with hollow fiber sorbent contactors for air separation, achieving performance competitive with commercial cryogenic technologies

Georgia Institute of technology

Post Doctoral Fellow / June, 2017September, 2017

Air Separation Design Optimization: Developed and optimized multi-bed pressure-swing adsorption models with hollow fiber sorbent contactors for air separation, achieving performance competitive with commercial cryogenic technologies

Dow Chemical International Pvt Ltd

Research Engineer / July, 2007June, 2010

Real-Time Optimization (RTOpt) for large manufacturing plants for optimal operation. Achieved productivity improvement by 8% by implementing optimized inventory management.

Links & Social Media

Join Jayashree on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts