Results 231 to 240 of about 6,096 (326)

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Microgrids as a Tool for Energy Self-Sufficiency. [PDF]

open access: yesSensors (Basel)
Bielecki S, Skoczkowski T, Wołowicz M.
europepmc   +1 more source

Development of design system for electrical reactors, chokes and low-power transformers

open access: diamond
A. I. Tikhonov   +4 more
openalex   +1 more source

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