Articles with public access mandates - Prof. N. S. ReddyLearn more
Not available anywhere: 8
Review
Modeling high-temperature mechanical properties of austenitic stainless steels by neural networks
PL Narayana, SW Lee, CH Park, JT Yeom, JK Hong, AK Maurya, ...
Computational Materials Science 179, 109617, 2020
Mandates: US National Science Foundation
Review
Small angle neutron scattering analyses and high temperature mechanical properties of nano-structured oxide dispersion-strengthened steels produced via cryomilling
JH Kim, TS Byun, E Shin, JB Seol, S Young, NS Reddy
Journal of Alloys and Compounds 651, 363-374, 2015
Mandates: US Department of Energy
Review
Electro spark coating of AlCoCrFeNi high entropy alloy on AISI410 stainless steel
NS Reddy, BB Panigrahi
Materials Letters 304, 130580, 2021
Mandates: Department of Science & Technology, India
Review
Fabrication of an Energy-Dense, Binder-Free Zn//V5O12ยท6H2O Solid-State In-Plane Flexible Battery via a Rapid and Scalable Approach
P Yadav, N Sanna Kotrappanavar, PB Naik, HK Beere, K Samanta, ...
ACS Applied Energy Materials 6 (3), 1799-1809, 2023
Mandates: Department of Science & Technology, India
Review
Developing High-Performance In-Plane Flexible Aqueous Zinc-Ion Batteries with Laser-Scribed Carbon-Supported All Electrodeposited Electrodes
P Yadav, PB Naik, HK Beere, NS Reddy, K Samanta, ...
Langmuir 38 (51), 16203-16213, 2022
Mandates: Department of Science & Technology, India
Review
Recovery and Applications of Feather Proteins
N Reddy, MS Santosh
Protein Byproducts, 255-274, 2016
Mandates: Department of Biotechnology, India
Review
Modeling capacitance of carbon-based supercapacitors by artificial neural networks
BS Reddy, PL Narayana, AK Maurya, UMR Paturi, J Sung, HJ Ahn, ...
Journal of Energy Storage 72, 108537, 2023
Mandates: US National Science Foundation
Review
Neural Network Models for Estimating the Impact of Physicochemical and Operational Parameters on the Specific Capacity of Activated-Carbon-Based Supercapacitors
BS Reddy, AK Maurya, UMR Paturi, J Sung, PL Narayana, HJ Ahn, ...
Energy & Fuels 37 (19), 15084-15094, 2023
Mandates: US National Science Foundation
Available somewhere: 1
Review
Modeling the relationship between electrospinning process parameters and ferrofluid/polyvinyl alcohol magnetic nanofiber diameter by artificial neural networks
AK Maurya, PL Narayana, AG Bhavani, H Jae-Keun, JT Yeom, NS Reddy
Journal of Electrostatics 104, 103425, 2020
Mandates: US National Science Foundation
Publication and funding information is determined automatically by a computer program