2 citations · 4 across the 3 of their papers we have counts for
3 papers
Physics-informed neural networks need a physicist to be accurate: the case of mass and heat transport in Fischer-Tropsch catalyst particles
Tymofii Nikolaienko, Harshil Patel, Aniruddha Panda +3
Physics-Informed Neural Networks (PINNs) have emerged as an influential technology, merging the swift and automated capabilities of machine learning with the precision and dependab…
Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism
Shuvayan Brahmachary, Subodh M. Joshi, Aniruddha Panda +6
Large Language Models (LLMs) have demonstrated remarkable reasoning abilities, prompting interest in their application as black-box optimizers. This paper asserts that LLMs possess…
Accurate and Fast Fischer-Tropsch Reaction Microkinetics using PINNs
Harshil Patel, Aniruddha Panda, Tymofii Nikolaienko +3
Microkinetics allows detailed modelling of chemical transformations occurring in many industrially relevant reactions. Traditional way of solving the microkinetics model for Fische…