Jacob I. Monroe Data-verified
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Assistant Professor - Engineering
faculty
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Biography and Research Information
OverviewAI-generated summary
Jacob I. Monroe is an Assistant Professor whose research program investigates the application of computational methods to complex systems. His work includes the use of molecular dynamics simulations and machine learning techniques to understand thermodynamic properties and conformational landscapes of molecular systems. Monroe has explored entropic control in interfacial hydration within mesoporous organosilicas and has quantified peptoid conformational landscapes through integrated experiment and simulation.
His research also extends to energy systems, focusing on agent-based modeling approaches to enhance power outage resilience and evaluate peer-to-peer electricity markets. Monroe has also contributed to modeling infrastructure for decarbonization efforts and analyzed the role of emerging technologies in electricity system transitions. He has published 40 papers with 964 citations and an h-index of 14. Key collaborators at the University of Arkansas at Fayetteville include S. Ranil Wickramasinghe, Chidambaram Thamaraiselvan, and Edgar C. Clausen.
Metrics
- h-index: 14
- Publications: 39
- Citations: 977
Selected Publications
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Techno‐Economic Analysis of Membrane‐Based Purification Platforms for AAV Vector Production (2025)
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Reweighting configurations generated by transferable, machine learned models for protein sidechain backmapping (2025)
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Grand challenges in membrane transport, modeling and simulation (2024)
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Classification and authentication of materials using prompt gamma ray activation analysis (2023)
Collaboration Network
Top Collaborators
- Learning Efficient, Collective Monte Carlo Moves with Variational Autoencoders
- Leveraging uncertainty estimates and derivative information in Gaussian process regression for efficient collection and use of molecular simulation data
- Classification and authentication of materials using prompt gamma ray activation analysis
- Systematic control of collective variables learned from variational autoencoders
- Open-source modelling infrastructure: Building decarbonization capacity in Canada
- The role of emerging technologies in Canada's electricity system transition
- Integrated planning and operation of power systems: Flexibility in high penetration of wind and solar
- Integrated Planning and Operation of Power Systems: Flexibility in High Penetration of Wind and Solar
- Open-source modelling infrastructure: Building decarbonization capacity in Canada
- Integrated planning and operation of power systems: Flexibility in high penetration of wind and solar
- Integrated Planning and Operation of Power Systems: Flexibility in High Penetration of Wind and Solar
- Evidence for Entropically Controlled Interfacial Hydration in Mesoporous Organosilicas
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
- Evidence for Entropically Controlled Interfacial Hydration in Mesoporous Organosilicas
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
- Evidence for Entropically Controlled Interfacial Hydration in Mesoporous Organosilicas
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
- Open-source modelling infrastructure: Building decarbonization capacity in Canada
- The role of emerging technologies in Canada's electricity system transition
- Integrated planning and operation of power systems: Flexibility in high penetration of wind and solar
- Integrated Planning and Operation of Power Systems: Flexibility in High Penetration of Wind and Solar
- Grand challenges in membrane transport, modeling and simulation
- Techno‐Economic Analysis of Membrane‐Based Purification Platforms for AAV Vector Production
- Using electric vehicles to enhance power outage resilience – An agent-based modeling approach
- Using Electric Vehicles to Enhance Power Outage Resilience – An Agent-Based Modeling Approach
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
- Quantifying Polypeptoid Conformational Landscapes through Integrated Experiment and Simulation
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