2 papers
cond-mat.mtrl-sci2026
A physics-informed neural network approach to the point defect model for electrochemical oxide film growth
Mohid Farooqi, Ingmar Bösing, Ingmar Bösing +1
Physics-informed neural networks (PINNs) offer a novel AI-driven framework for integrating physical laws directly into neural network models, facilitating the solution of complex m…
q-bio.NC2025
Lilith: Developmental Modular LLMs with Chemical Signaling
Mohid Farooqi, Alejandro Comas-Leon
Current paradigms in Artificial Intelligence rely on layers of feedforward networks which model brain activity at the neuronal level. We conjecture that expanding to the level of m…