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cs.LG2024
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…
cs.AI2024★ 2 cited
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…