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Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides

BMC bioinformatics, 2021-05, Vol.22 (1), p.239-239, Article 239

2021

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Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

BMC bioinformatics, 2018-12, Vol.19 (1), p.469-469, Article 469

2018

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Use of three-dimensional descriptors in molecular design for biologically active compounds

Current opinion in chemical engineering, 2020-03, Vol.27, p.60-64

2020

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Sustainable process design & analysis of hybrid separations

Computers & chemical engineering, 2017-10, Vol.105, p.96-104

2017

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Simultaneous design of ionic liquid entrainers and energy efficient azeotropic separation processes

Computers & chemical engineering, 2012-07, Vol.42, p.248-262

2012

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Using Artificial Neural Networks to Predict Physical Properties of Membrane Polymers

Chemie ingenieur technik, 2023-03, Vol.95 (3), p.363-367

2023

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Impact of light intensity on the polymerization kinetics and network structure of model hydrophobic and hydrophilic methacrylate based dental adhesive resin

Journal of biomedical materials research. Part B, Applied biomaterials, 2016-11, Vol.104 (8), p.1666-1678

2016

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Product-Driven Process Design: From Molecule to Enterprise

Edwin Zondervan, Cristhian Almeida-Rivera, Kyle Vincent Camarda

Second edition, 2023

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Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming

Physical sciences reviews, 2021-01, Vol.8 (1), p.121-156

2021

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Product-Driven Process Design: From Molecule to Enterprise

1st edition., 2020

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Antibiotic Molecular Design Using Multi-Objective Optimization

Computer Aided Chemical Engineering, 2018, Vol.44, p.169-174

2018

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Mathematical model of microbicidal flow dynamics and optimization of rheological properties for intra-vaginal drug delivery: Role of tissue mechanics and fluid rheology

Journal of biomechanics, 2015-06, Vol.48 (9), p.1625-1630

2015

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Protein aggregation and lyophilization: Protein structural descriptors as predictors of aggregation propensity

Computers & chemical engineering, 2013-11, Vol.58 (2013), p.369-377

2013

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Design of ionic liquids via computational molecular design

Computers & chemical engineering, 2010-09, Vol.34 (9), p.1476-1480

2010

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Use of glass transitions in carbohydrate excipient design for lyophilized protein formulations

Computers & chemical engineering, 2012-01, Vol.36 (1), p.208-216

2012

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Product-Driven Process Design: From Molecule to Enterprise

2, 2023

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An Optimization Approach to the Design of Value-Added Soybean Oil Products

Industrial & engineering chemistry research, 2005-06, Vol.44 (12), p.4361-4367

2005

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Using Artificial Neural Networks to Predict Physical Properties of Membrane Polymers

Chemie ingenieur technik, 2022-11, Vol.95 (3)

2022

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Optimization in Polymer Design Using Connectivity Indices

Industrial & engineering chemistry research, 1999-05, Vol.38 (5), p.1884-1892

1999

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Multi-objective Optimization for Plant Design via Tabu Search

Computer Aided Chemical Engineering, 2018, Vol.43, p.543-548

2018

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Computer-aided molecular design of water compatible visible light photosensitizers for dental adhesive

Chemical engineering science, 2017-02, Vol.159, p.131-139

2017

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Adhesive/Dentin Interface: The Weak Link in the Composite Restoration

Annals of biomedical engineering, 2010-06, Vol.38 (6), p.1989-2003

2010

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Artificial Neural Network-Based Real-Time PID Controller Tuning

Computer Aided Chemical Engineering, 2023, Vol.52, p.1609-1614

2023

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Optimizing Protein-Excipient Interactions for the Development of Aggregation-Reducing Lyophilized Formulations

Computer Aided Chemical Engineering, 2012, Vol.31, p.1351-1355

2012

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Techno-Economic Optimization Study of Interconnected Heat and Power Multi-Microgrids with a Novel Nature-Inspired Evolutionary Method

Electronics (Basel), 2022-10, Vol.11 (19), p.3147

2022

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Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides

Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

Use of three-dimensional descriptors in molecular design for biologically active compounds

Sustainable process design & analysis of hybrid separations

Simultaneous design of ionic liquid entrainers and energy efficient azeotropic separation processes

Using Artificial Neural Networks to Predict Physical Properties of Membrane Polymers

Impact of light intensity on the polymerization kinetics and network structure of model hydrophobic and hydrophilic methacrylate based dental adhesive resin

Product-Driven Process Design: From Molecule to Enterprise

Shaping the future energy markets with hybrid multimicrogrids by sequential least squares programming

Product-Driven Process Design: From Molecule to Enterprise

Antibiotic Molecular Design Using Multi-Objective Optimization

Mathematical model of microbicidal flow dynamics and optimization of rheological properties for intra-vaginal drug delivery: Role of tissue mechanics and fluid rheology

Protein aggregation and lyophilization: Protein structural descriptors as predictors of aggregation propensity

Design of ionic liquids via computational molecular design

Use of glass transitions in carbohydrate excipient design for lyophilized protein formulations

Product-Driven Process Design: From Molecule to Enterprise

An Optimization Approach to the Design of Value-Added Soybean Oil Products

Using Artificial Neural Networks to Predict Physical Properties of Membrane Polymers

Optimization in Polymer Design Using Connectivity Indices

Multi-objective Optimization for Plant Design via Tabu Search

Computer-aided molecular design of water compatible visible light photosensitizers for dental adhesive

Adhesive/Dentin Interface: The Weak Link in the Composite Restoration

Artificial Neural Network-Based Real-Time PID Controller Tuning

Optimizing Protein-Excipient Interactions for the Development of Aggregation-Reducing Lyophilized Formulations

Techno-Economic Optimization Study of Interconnected Heat and Power Multi-Microgrids with a Novel Nature-Inspired Evolutionary Method

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