Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

Abstract: The structural integrity of large-scale industrial plate structures is critical for their operational safety in long-term high-temperature service. Ultrasonic-guided wave (UGW) technology ...

Abstract: On-load tap changers (OLTCs) rely on flexible connection structures (FCSs) to maintain conductive circuits between moveable contacts. Stress concentration represents a primary cause of FCS ...

In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...

A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.

Modern AI research requires mastering dozens of specialized tools and frameworks. AI Researchers spend more time debugging infrastructure than testing hypotheses — slowing the pace of scientific ...