Soft computing techniques in advancement of structural metals
S Datta, PP Chattopadhyay - International Materials …, 2013 - journals.sagepub.com
Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …
ahead of the advancing fronts of the application areas. During the last couple of decades …
Artificial intelligence based design of multiple friction modifiers dispersed castor oil and evaluating its tribological properties
This present work deals with designing a new lubricant with multiple friction modifiers (FM)
having better tribological properties using artificial neural network (ANN) and genetic …
having better tribological properties using artificial neural network (ANN) and genetic …
Analyses of tribological properties of castor oil with various carbonaceous micro-and nano-friction modifiers
The present work investigates the tribological properties of castor oil with various
carbonaceous friction modifiers (nano and microsize additives) assessed using four-ball …
carbonaceous friction modifiers (nano and microsize additives) assessed using four-ball …
Structure and properties of titania reinforced nano-hydroxyapatite/gelatin bio-composites for bone graft materials
C Kailasanathan, N Selvakumar, V Naidu - Ceramics International, 2012 - Elsevier
This work deals with the preparation of ceramic composites to be employed for the
development of load bearing bone substitutes, made of inorganic minerals of needle like …
development of load bearing bone substitutes, made of inorganic minerals of needle like …
Designing optimized ternary catalytic alloy electrode for efficiency improvement of semiconductor gas sensors using a machine learning approach
Catalytic noble metal (s) or its alloy (s) has long been used as the electrode material to
enhance the sensing performance of the semiconducting oxide based gas sensors. In the …
enhance the sensing performance of the semiconducting oxide based gas sensors. In the …
[图书][B] Materials design using computational intelligence techniques
S Datta - 2016 - taylorfrancis.com
Several statistical techniques are used for the design of materials through extraction of
knowledge from existing data banks. These approaches are getting more attention with the …
knowledge from existing data banks. These approaches are getting more attention with the …
Comparative study of hydroxyapatite/gelatin composites reinforced with bio-inert ceramic particles
C Kailasanathan, N Selvakumar - Ceramics International, 2012 - Elsevier
Recently, nano bio-composites have emerged as an efficient strategy to upgrade the
structural and functional properties of synthetic bone grafts. Bioinert ceramics have attracted …
structural and functional properties of synthetic bone grafts. Bioinert ceramics have attracted …
Temperature dependent photoluminescence from porous silicon nanostructures: Quantum confinement and oxide related transitions
Temperature dependent photoluminescence (PL) spectroscopy along with structural
investigations of luminescent porous Si enable us to experimentally distinguish between the …
investigations of luminescent porous Si enable us to experimentally distinguish between the …
An artificial neural network model for predicting the CO2 reactivity of carbon anodes used in the primary aluminum production
Carbon anode is one of the key components for the electrolytic production of aluminum. It is
mainly composed of calcined petroleum coke, coal tar pitch, and recycled carbon materials …
mainly composed of calcined petroleum coke, coal tar pitch, and recycled carbon materials …
Data-driven design of ternary alloy catalysts for enhanced oxide-based gas sensors' performance
Informatics based approach was employed to design ternary catalytic alloy electrode from a
data base of binary alloys for oxide-based gas sensor to detect methane gas efficiently …
data base of binary alloys for oxide-based gas sensor to detect methane gas efficiently …