The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics ...
ChemELLM, a 70-billion-parameter LLM tailored for chemical engineering, outperforms leading LLMs (e.g., Deepseek-R1) on ChemEBench across 101 tasks, trained on ChemEData’s 19 billion pretraining and 1 ...
The LACG intelligent modeling architecture integrates three specially designed deep learning modules based on underlying logics to learn different driving forces of actual chemical processes ...
Microplastics in rivers, lakes, and oceans aren’t just drifting debris—they’re constantly leaking invisible clouds of ...
In response to the rising focus on sustainable manufacturing practices and corporate social responsibility, there has been a surge of interest in adopting environmentally friendly and green chemicals ...
Semiconductor process engineers would love to develop successful process recipes without the guesswork of repeated wafer testing. Unfortunately, developing a successful process can’t be done without ...
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AI maps heat inside steelmaking’s critical sintering process beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...
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