Results 161 to 170 of about 189,829 (257)
AI in chemical engineering: From promise to practice
AIChE 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
Risk Science in Practice: A Framework for Gauging Risk Principles in Domain-Specific Discourse. [PDF]
Risk AnalThekdi S, Aven T.
europepmc +1 more source
An integrative behavioral model of information security policy compliance. [PDF]
ScientificWorldJournal, 2014 Kim SH, Yang KH, Park S.
europepmc +1 more source
Advanced 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
School Meals as a Strategy to Prevent Childhood Obesity and Advance Food Equity: A Narrative Review. [PDF]
Curr Obes RepMcLoughlin GM, Cohen JF.
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Attribute based access control of geographic spatial data sharing using blockchain and smart contracts. [PDF]
Sci RepLi S, Liu W, Wu Y, Wu X, Li L.
europepmc +1 more source