chemical engineering
PulseAugur coverage of chemical engineering — every cluster mentioning chemical engineering across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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CivicPulse Tricity uses Gemini 1.5 Pro to unify citizen feedback in India
A new open-source platform called CivicPulse Tricity (NagrikSetu AI) has been developed to unify citizen feedback across Chandigarh, Mohali, and Panchkula. This platform accepts voice notes and messages in Punjabi, Hind…
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AI and ML are augmenting chemical engineering principles, says new paper
A recent perspective paper published on arXiv explores the transformative impact of artificial intelligence (AI) and machine learning (ML) on chemical engineering. The paper highlights how these technologies are enhanci…
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LLMs accelerate kinetic model discovery in chemical engineering
Researchers have developed DASyR-LLM, a novel framework that integrates Large Language Models (LLMs) with symbolic regression to accelerate kinetic model discovery in chemical engineering. This LLM-guided approach injec…
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LLM-guided symbolic regression accelerates kinetic model discovery
A new framework called DASyR-LLM integrates Large Language Models (LLMs) with symbolic regression to accelerate the discovery of kinetic models in chemical engineering. The LLM component provides domain-specific critiqu…
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New framework bridges hybrid models with neuro-symbolic AI
Researchers have developed a new framework called Hybrid-to-NeSy (H2N) that bridges hybrid mechanistic/data-driven models with neuro-symbolic AI. This approach translates hybrid modeling designs into a neuro-symbolic in…
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AI model HANNA predicts liquid mixture thermodynamics within physics laws
Researchers have developed a new machine learning model called HANNA, designed to predict the thermodynamics of complex liquid mixtures. This model is specifically constrained by the laws of physics, ensuring its predic…