How the dual-front platform launch of February 2026 turned domain experts into production builders. Primary-source evidence from Anthropic, Rokt, SkillsEngine, Zinus, Lovable, and the Claude for ...

This paper explores the integration of Physics-Informed Neural Networks (PINNs) and Robot Process Automation (RPA) tools in modeling and controlling rigid robotic joint motion. PINNs, which integrate ...

The following catalog lists all software for which a module exists. See the Installed Software Modules page for information about using software listed here. Note that where module preloads are listed ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

High-dimensional quantum systems are a valuable resource for quantum information processing. They can be used to encode error-correctable logical qubits, which has been demonstrated using ...

The variational autoencoder (VAE) and Schrödinger bridge (SB) network checkpoints are required to perform super-resolution. The south pole topography model used to ...

Influenza hemagglutinin (HA) is responsible for two crucial steps in the viral life cycle—receptor binding on the host cell and membrane fusion. Coordination of several HAs is required to carry out ...

We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both ...

In the last 20 years, fragment-based drug discovery (FBDD) has become a popular and consolidated approach within the drug discovery pipeline, due to its ability to bring several drug candidates to ...