Results 191 to 200 of about 196,068 (330)

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, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

The effects of discriminative stimuli on combined relapse: A preliminary human-operant investigation. [PDF]

J Exp Anal Behav
King HC, Perez N, McFarland HK, Kranak MP.   +3 more
europepmc   +1 more source

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

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

Oral alcohol self-administration and maintenance of operant behavior in rats

Conductual: Revista Internacional de Interconductismo y Análisis de Conducta, 2017
We evaluated the effects of two alcohol induction procedures on food-reinforced lever-pressing in rats. Nine outbreed Wistar rats were assigned to one of three groups. For all subjects a fixed-ratio (FR)11 food-reinforcement schedule was established. The
doaj  

Component analysis of a self-monitoring intervention for increasing task engagement for individuals with developmental disabilities. [PDF]

J Appl Behav Anal
Leif E, Roscoe E, Rae L, Sheets S.
europepmc   +1 more source

A Risk-Aware Lng Terminal Scheduling Digital Twin Based on Deep Reinforcement Learning

Yaping Hong, Jinglin Wang, Chao Peng, Jinsong Zhao   +3 more
openalex   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

Effects of acute adolescent stress on the acquisition and maintenance of intravenous oxycodone self-administration in male and female rats. [PDF]

Drug Alcohol Depend
Gallagher CA, Chandler DJ, Manvich DF.
europepmc   +1 more source

Dynamic Scheduling for Multi-Objective Flexible Job Shops with Machine Breakdown by Deep Reinforcement Learning [PDF]

Rui Wu, Jianxin Zheng, Xiyan Yin
openalex   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source