Results 141 to 150 of about 676,279 (245)

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

AIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang, Xiaopo Cheng, Hui Geng, Jiaze Ma   +3 more
wiley   +1 more source

Retraction Note: Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability. [PDF]

Sci Rep
Chandra SS, Kumar R, Arjunasamy A, Galagali S, Tantri A, Naganna SR.   +5 more
europepmc   +1 more source

RETRACTION: Indoor Environment Intelligent Control System of Green Building Based on PMV Index

Advances in Civil Engineering
Advances in Civil Engineering
doaj   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Correction: Enhanced characterization of hydraulic conductivity via standard penetration test for sandy soils and weathered rocks. [PDF]

Sci Rep
Seo W, Yang E, Yun TS.
europepmc   +1 more source

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

AIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu, Ritu Ranjan, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

Correction: Binary image acquisition and texture parameter calculation of asphalt pavement based on a U-Net model. [PDF]

PLoS One
An F, Jiang H, Zhao Y, Fang L, Dong S, Du W, Wu G, Liu W, Lv Z, Liang H.   +9 more
europepmc   +1 more source

A Breadth‐First Pruned‐Enriched Rosenbluth Method for Force–Extension Simulations of Confined Semiflexible Chains

Advanced Intelligent Discovery, EarlyView.
The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley   +1 more source

Intelligent system in the cost control of commercial complex projects: Data-driven optimization method. [PDF]

PLoS One
Wang S, Li Y, Yao D, Li X.
europepmc   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source