229 results on '"Chemmangattuvalappil, Nishanth G."'
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2. Multi-Criteria Decision-Making Tools for Project Selection by International Conglomerates
3. Stable diesel and bio-oil emulsion through solvent extraction and ultrasonic aided emulsification
4. Computer-aided framework for the design of entrainer for palm process residue recovery
5. Aviation Biofuels: Conversion Routes and Challenges
6. Design of formulated fragrant products using rough set machine learning and molecular design tools
7. Students’ perception of non-placement work-integrated learning in chemical engineering: Work-related skills towards the post-pandemic future
8. Rough set approach to predict biochar stability and pH from pyrolysis conditions and feedstock characteristics
9. Development of predictive model for biochar surface properties based on biomass attributes and pyrolysis conditions using rough set machine learning
10. Aviation Biofuels: Conversion Routes and Challenges
11. Design of mosquito repellent molecules via the integration of hyperbox machine learning and computer aided molecular design
12. Design of bio-oil additives via molecular signature descriptors using a multi-stage computer-aided molecular design framework
13. Optimization of quality, safety and health aspects in personal care product preservative design
14. Design of fragrance molecules using computer-aided molecular design with machine learning
15. Reactive and non-reactive solvents as bio-oil blends: a computer-aided molecular design approach
16. Design of Bio-Oil Solvents using Multi-Stage Computer-Aided Molecular Design Tools
17. Synthesis of a sustainable integrated biorefinery to produce value-added chemicals from palm-based biomass via mathematical optimisation
18. Safety and health risk assessment methodology of dermal and inhalation exposure to formulated products ingredients
19. Prediction model for biochar energy potential based on biomass properties and pyrolysis conditions derived from rough set machine learning.
20. Alternative Solvent Design for Oil Extraction from Palm Pressed Fibre via Computer-Aided Molecular Design
21. Development of inherent safety and health index for formulated product design
22. Design and performance optimisation of detergent product containing binary mixture of anionic-nonionic surfactants
23. Development of solvent design methodologies using computer-aided molecular design tools
24. Integration of safety and health aspects in a simultaneous process and molecular design framework
25. Design of Solvent Mixtures for Selective Extraction by Quantifying Thermodynamic and Sustainability Aspects
26. Design of bio-oil additives using mathematical optimisation tools considering blend functionality and sustainability aspects
27. Design of bio-oil additives via computer-aided molecular design tools and phase stability analysis on final blends
28. Design of Polymeric Membranes for Air Separation by Combining Machine Learning Tools with Computer Aided Molecular Design
29. Optimal molecular design towards an environmental friendly solvent recovery process
30. Integration of Fuzzy Analytic Hierarchy Process into multi-objective Computer Aided Molecular Design
31. Enterprise Decision-making Framework for Chemical Product Design in Integrated Biorefineries
32. A systematic multi-objective methodology for optimal mixture design in integrated biorefineries
33. Ionic liquid mixture design for carbon capture using a systematic visual approach
34. Design of alternate solvent for recovery of residual palm oil: simultaneous optimization of process performance with environmental, health and safety aspects
35. Prediction model for biochar energy potential based on biomass properties and pyrolysis conditions derived from rough set machine learning
36. A systematic visual methodology to design ionic liquids and ionic liquid mixtures: Green solvent alternative for carbon capture
37. A Novel Methodology for Health Hazard and Risk Assessment of Dermal and Inhalation Exposure
38. Robust chemical product design via fuzzy optimisation approach
39. A systematic methodology for optimal mixture design in an integrated biorefinery
40. Challenges and opportunities in computer-aided molecular design
41. Alternative Solvent Design for Oil Extraction from Palm Pressed Fibre via Computer-Aided Molecular Design
42. A Fragrance Prediction Model for Molecules Using Rough Set‐based Machine Learning
43. A Review of Process Systems Engineering (PSE) Tools for the Design of Ionic Liquids and Integrated Biorefineries
44. Disjunctive fuzzy optimisation of electricity generation by biomass power producers in a feed‐in tariff programme
45. Optimal Design and Synthesis of Sustainable Integrated Biorefinery for Pharmaceutical Products from Palm-Based Biomass
46. Incorporating Machine Learning in Computer-Aided Molecular Design for Fragrance Molecules
47. Ionic Liquid Design for Biomass-based Tri-generation System with Carbon Capture
48. A Fuzzy Analytic Hierarchy Process Approach for Multi-objective Molecular Design Problem
49. Comparison of Tree Based Ensemble Machine Learning Methods for Prediction of Rate Constant of Diels-Alder Reaction
50. Designing ionic liquid solvents for carbon capture using property-based visual approach
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