Results 261 to 270 of about 1,249,401 (374)

Proactive Scheduling for Job-Shop Based on Abnormal Event Monitoring of Workpieces and Remaining Useful Life Prediction of Tools in Wisdom Manufacturing Workshop. [PDF]

Sensors (Basel), 2019
Zhang C, Yao X, Tan W, Zhang Y, Zhang F.
europepmc   +1 more source

Active Solution Space and Search on Job-shop Scheduling Problem

, 2004
Masato Watanabe, Kenichi Ida, Mitsuo Gen
openalex   +2 more sources

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

A Bee Evolutionary Guiding Nondominated Sorting Genetic Algorithm II for Multiobjective Flexible Job-Shop Scheduling. [PDF]

Comput Intell Neurosci, 2017
Deng Q, Gong G, Gong X, Zhang L, Liu W, Ren Q.   +5 more
europepmc   +1 more source

Fast Neutron Detector Based on Hybrid 2D Perovskite Thin Films

Advanced Functional Materials, EarlyView.
This work presents the direct detection of fast neutrons using flexible hybrid 2D perovskite (PEA2PbBr4) thin‐film detectors. Thanks to their high low‐Z elements content and good charge transport, these materials enable efficient neutron detection. The thin film configuration allowed the operation at low voltage, and offer scalability, flexibility, and
Ilaria Fratelli, Felix Pino, Laura Basiricò, Giulia Napolitano, Jessica Carolina Delgado, Sara Cepić, Andrea Ciavatti, Sandra Moretto, Gianluigi Maggioni, Marco Cinausero, Sara Maria Carturan, Beatrice Fraboni   +11 more
wiley   +1 more source

Decentralized Job Shop Scheduling by Recursive Propagation Method (4th Report, Proposal of Message Exchanging Procedure for Cases Considering Cooperative Operations Among Machines)

, 2004
Rei HINO
openalex   +2 more sources

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Bi-Objective Flexible Job-Shop Scheduling Problem Considering Energy Consumption under Stochastic Processing Times. [PDF]

PLoS One, 2016
Yang X, Zeng Z, Wang R, Sun X.
europepmc   +1 more source