Niranjan Sitapure

Orcid: 0000-0001-5974-3421

According to our database1, Niranjan Sitapure authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Empowering Hybrid Models with Attention-Based Time-series Transformers: A Case Study in Batch Crystallization.
Proceedings of the American Control Conference, 2024

Integrating Machine Learning in Process Control with LSTMc: A Case Study in Batch Crystallization.
Proceedings of the American Control Conference, 2024

2023
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers.
Comput. Chem. Eng., September, 2023

Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization.
CoRR, 2023

Exploring Different Time-series-Transformer (TST) Architectures: A Case Study in Battery Life Prediction for Electric Vehicles (EVs).
CoRR, 2023

Require Process Control? LSTMc is all you need!
CoRR, 2023

Model Predictive Control of Cadmium Telluride (CdTe) Quantum Dot (QD) Crystallization.
Proceedings of the American Control Conference, 2023

2022
Model Predictive Control of Spray Coating of Perovskite Quantum Dots for Application in Perovskite Solar Cells.
Proceedings of the American Control Conference, 2022

Mitigation of intra-cycle mechano-chemical degradation-based capacity fade in Lithium-ion batteries: Application of a model predictive controller.
Proceedings of the American Control Conference, 2022

2021
Multiscale modeling of dendrite formation in lithium-ion batteries.
Comput. Chem. Eng., 2021

Multiscale CFD modeling and optimal control of a continuous slug flow crystallizer for quantum dot production.
Proceedings of the 2021 American Control Conference, 2021

2020
Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr<sub>3</sub> perovskite quantum dots in strongly confined regime.
Comput. Chem. Eng., 2020

Modeling and size control of CsPbBr3 perovskite quantum dots.
Proceedings of the 2020 American Control Conference, 2020


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