Agentic framework for programmatic crystal structure generation using a fine-tuned worker–supervisor large language model

A long short-term memory networks-informer based prediction model in coal management of thermal units

Autonomous digital twin framework for gas turbine combined cycle control loops: Comparative study of proportional-integral control, reinforcement learning, and reinforcement learning with agents

Transfer learning and explainable AI for heating load forecasting: A large-scale benchmark with SHAP-based static features

Early deployment of deep learning models for lithium-ion battery state-of-health prediction with limited initial data

Predicting wind speeds in complex forested terrain using Reynolds-Averaged Navier-Stokes surrogates and data-driven feedforward convolutional neural networks

Agentic framework for programmatic crystal structure generation using a fine-tuned worker–supervisor large language model

A long short-term memory networks-informer based prediction model in coal management of thermal units

Autonomous digital twin framework for gas turbine combined cycle control loops: Comparative study of proportional-integral control, reinforcement learning, and reinforcement learning with agents

Transfer learning and explainable AI for heating load forecasting: A large-scale benchmark with SHAP-based static features

Early deployment of deep learning models for lithium-ion battery state-of-health prediction with limited initial data

Predicting wind speeds in complex forested terrain using Reynolds-Averaged Navier-Stokes surrogates and data-driven feedforward convolutional neural networks