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 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 ...
A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...
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 ...
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 ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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