The Morphology Prediction of Lysozyme Crystals Deduced from the BFDH Law and Attachment Energy Model Based on the Intermolecular Interaction

Author(s):  
Zhanzhong Wang ◽  
Pingping Jiang ◽  
Leping Dang
2018 ◽  
Vol 218 ◽  
pp. 70-78 ◽  
Author(s):  
Chen Chen ◽  
Weixing Zhu ◽  
Yizheng Guo ◽  
Changhua Ma ◽  
Weijia Huang ◽  
...  

Author(s):  
Megashnee Munsamy ◽  
Arnesh Telukdarie ◽  
Pavitra Dhamija

Logistics activities are significant energy consumers and known contributors to GHG emissions, hence optimisation of logistics energy demand is of critical importance. The onset of the fourth Industrial revolution delivers significant technological opportunities for logistics optimisation with additional benefits in logistics energy optimisation. This research propositions a business process centric logistics model based on Industry 4.0. A Logistics 4.0 architecture is developed comprising Industry 4.0 technologies and associated enablers. The Industry 4.0 architecture components are validated by conducting a Systematic Literature Review on Industry 4.0 and logistics. Applying the validated Logistics 4.0 architecture to a cyber physical logistics energy model, based on the digitalisation of business processes, a comprehensive simulation is developed identified as the Logistic 4.0 Energy Model. The model simulates the technological impact of Industry 4.0 on a logistics network. The model generates energy and CO2 emission values for “as-is” and “to-be” Industry 4.0 scenarios.


2011 ◽  
Vol 60 (12) ◽  
pp. 124303
Author(s):  
Cong Fei-Yun ◽  
Chen Jin ◽  
Dong Guang-Ming

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