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Exploring Machine Learning for Semiconductor Process Optimization: A Systematic Review
IEEE Transactions on Artificial IntelligenceAs machine learning (ML) continues to find applications, extensive research is currently underway across various domains. This study examines the current methodologies of ML being investigated to optimize semiconductor manufacturing processes.
Ying-Lin Chen +6 more
semanticscholar +1 more source
ACS Sustainable Chemistry and Engineering, 2019
A total of 119 661 hypothetical zeolites, 1031 zeolite immidazolate frameworks, and 156 zeolites identified by the International Zeolite Association are screened for their effectiveness as adsorbents for postcombustion CO2 capture from a dry flue gas ...
Vishal Subramanian Balashankar +1 more
semanticscholar +1 more source
A total of 119 661 hypothetical zeolites, 1031 zeolite immidazolate frameworks, and 156 zeolites identified by the International Zeolite Association are screened for their effectiveness as adsorbents for postcombustion CO2 capture from a dry flue gas ...
Vishal Subramanian Balashankar +1 more
semanticscholar +1 more source
A Data-Driven Approach for Process Optimization of Metallic Additive Manufacturing Under Uncertainty
Journal of manufacturing science and engineering, 2019The presence of various uncertainty sources in metal-based additive manufacturing (AM) process prevents producing AM products with consistently high quality.
Zhuo Wang +5 more
semanticscholar +1 more source
Engineering Construction and Architectural Management, 2019
Purpose The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping. Design/methodology/approach This paper is an empirical focused on of lean production theory and
Shuqiang Wang +3 more
semanticscholar +1 more source
Purpose The purpose of this paper is to investigate the process optimization of a precast concrete component production line by using value stream mapping. Design/methodology/approach This paper is an empirical focused on of lean production theory and
Shuqiang Wang +3 more
semanticscholar +1 more source
Desalination and Water Treatment, 2019
Granular ferric hydroxide was used in the present study to evaluate the efficiency of phosphate removal from aqueous solutions using central composite design and optimization by response surface methodology (RSM).
M. Yousefi +4 more
semanticscholar +1 more source
Granular ferric hydroxide was used in the present study to evaluate the efficiency of phosphate removal from aqueous solutions using central composite design and optimization by response surface methodology (RSM).
M. Yousefi +4 more
semanticscholar +1 more source
Nonconvex process optimization
Computers & Chemical Engineering, 1996Abstract Difficulties associated with nonconvexity in successive quadratic programming (SQP) methods are studied. It is shown that projected indefiniteness of the Hessian matrix of the Lagrangian function can (i) place restrictions on the order in which inequalities can be added or deleted from the active set, (ii) generate redundant active sets ...
A. Lucia, J. Xu, K.M. Layn
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Process Engineering and Optimization
2018Process planning plays a fundamental role within modern industrial facilities in that it is devoted to select the manufacturing processes and parameters and the sequences that are needed to convert a part from the initial to the final form. Evaluating the quality of a process plan from both a technological and an economic perspective becomes vital ...
Braglia Marcello +3 more
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Integrating Materials and Manufacturing Innovation, 2017
The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of domain knowledge, trial and error, and luck.
Julia Ling +4 more
semanticscholar +1 more source
The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of domain knowledge, trial and error, and luck.
Julia Ling +4 more
semanticscholar +1 more source
Proceedings of the 13th International Carpathian Control Conference (ICCC), 2012
The purpose of this paper is to review basic concepts of optimal process control. We define the formulation and basic elements of optimal process control which are models of physical processes, constraints, objective function, functional, history of optimization, and practical approaches to optimal control implementation.
Miroslav Fikar, Karol Kostur
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The purpose of this paper is to review basic concepts of optimal process control. We define the formulation and basic elements of optimal process control which are models of physical processes, constraints, objective function, functional, history of optimization, and practical approaches to optimal control implementation.
Miroslav Fikar, Karol Kostur
openaire +1 more source
IFAC Proceedings Volumes, 1975
Abstract The paper reviews current capabilities and limitations of optimal control theory as applied in the field of process control. It discusses approaches to process modelling, the problem of parameter and state estimation, the computation of optimal controls, and questions concerning the theory itself.
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Abstract The paper reviews current capabilities and limitations of optimal control theory as applied in the field of process control. It discusses approaches to process modelling, the problem of parameter and state estimation, the computation of optimal controls, and questions concerning the theory itself.
openaire +1 more source