Sankaran Mahadevan

1. A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
   2022/08/26 by Adam Thelen, Thelen, Adam, Xiaoge Zhang +17 · 11 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #Digital Transformation in Industry #FOS: Computer and information sciences #Finance #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #and Science (cs.CE)
2. Digital Twin: Generalization, characterization and implementation
   2021/02/17 by Eric VanDerHorn, Sankaran Mahadevan · 9 citations
   Engineering · #Digital Transformation in Industry #Flexible and Reconfigurable Manufacturing Systems #Technology Assessment and Management
3. A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
   2022/08/27 by Adam Thelen, Thelen, Adam, Xiaoge Zhang +17 · 6 citations
   Engineering · Computer Science · #Digital Transformation in Industry #IoT and Edge/Fog Computing
4. Bayesian neural networks for flight trajectory prediction and safety assessment
   2020/01/13 by Xiaoge Zhang, Sankaran Mahadevan · 3 citations
   Engineering · #Aerospace and Aviation Technology #Air Traffic Management and Optimization #Autonomous Vehicle Technology and Safety
5. Uncertainty Quantification in Non-Equilibrium Molecular Dynamics\n Simulations of Thermal Transport
   2018/04/30 by Manav Vohra, Vohra, Manav, Ali Yousefzadi Nobakht +5 · 1 citation
   Decision Sciences · Materials Science · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Probabilistic and Robust Engineering Design #Thermal properties of materials
6. Subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty
   2018/10/01 by Manav Vohra, Alen Alexanderian, Vohra, M. +5 · 1 citation
   Computer Science · Decision Sciences · Materials Science · #Advanced Multi-Objective Optimization Algorithms #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Probabilistic and Robust Engineering Design
7. Graph neural networks for power grid operational risk assessment under evolving grid topology
   2024/05/12 by Yadong Zhang, Pranav Karve, Zhang, Yadong +3 · 1 citation
   Computer Science · Engineering · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Methodology (stat.ME) #Power Systems and Technologies #Smart Grid and Power Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
8. Just-In-Time Learning for Operational Risk Assessment in Power Grids
   2022/09/26 by Oliver Stover, Stover, Oliver, Pranav Karve +11 · 1 citation
   Engineering · #Electric Power System Optimization #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Power System Reliability and Maintenance #Systems and Control (eess.SY) #electronic engineering #information engineering