OpenAlex
metadata only
CC BY-NC 4.0
In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back
artificial-intelligencecomputational-modelcomputer-sciencein-silicomachine-learningscalabilitytransferability
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The promise of artificial intelligence in chemical engineering: Is it here, finally?#412779
- Artificial intelligence: machine learning for chemical sciences#292711
- DeepMech: a machine learning framework for chemical reaction mechanism prediction.#358314
- From machine learning to multimodal models: The AI revolution in enzyme engineering.#138548
- Atoms to Processes: The Role of Artificial Intelligence and Machine Learning in Chemical Engineering#1161080
Record · ID 203244
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive