| Module | Functionality | Notable Tech | |--------|---------------|--------------| | | Sketching molecules, reaction mapping, and auto‑balancing equations. | RDKit + custom graph‑neural networks. | | Chemal‑Predict | Predicting reaction yields, thermodynamics, and safety hazards. | Gradient‑boosted trees trained on Reaxys data. | | Chemal‑AI | Embeds LISA for natural‑language query handling and image generation. | LISA‑Chem fine‑tuned checkpoint. | | Chemal‑Lab | Integrates with electronic lab notebooks (ELNs) and automated synthesis robots. | RESTful API, Docker‑compose orchestration. |
: This likely refers to a specific model from that era whose work was categorized into these numbered sets. Safety and Quality Warnings lisa+model+chemal+and+gegg+sets+175+link
Together these resources enable researchers to move from isolated calculations to reproducible, end‑to‑end pipelines that accelerate discovery in catalysis, drug design, and energy‑storage materials. The following essay explains each component, how they interoperate, and why the “175 link” (the central online repository for the GEGG sets) is becoming a de‑facto standard for model validation. | Module | Functionality | Notable Tech |