What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Quantum mechanics
- Hydrogen
Ncholu I. Manyala mainly investigates Nanotechnology, Supercapacitor, Graphene foam, Condensed matter physics and Chemical engineering.
His research integrates issues of Activated carbon, Optoelectronics and Agroforestry in his study of Nanotechnology.
His biological study spans a wide range of topics, including Graphite and Carbon.
In Graphene foam, he works on issues like Composite number, which are connected to Molybdenum.
His Condensed matter physics research is multidisciplinary, incorporating elements of Electron and Magnetoresistance.
The study incorporates disciplines such as Spintronics, Semiconductor and Silicon in addition to Doping.
His most cited work include:
- Large anomalous Hall effect in a silicon-based magnetic semiconductor (163 citations)
- Large anomalous Hall effect in a silicon-based magnetic semiconductor (163 citations)
- Magnetoresistance from quantum interference effects in ferromagnets (163 citations)
What are the main themes of his work throughout his whole career to date?
Ncholu I. Manyala focuses on Chemical engineering, Supercapacitor, Electrochemistry, Nanotechnology and Electrode.
His specific area of interest is Chemical engineering, where Ncholu I. Manyala studies Graphene.
His Supercapacitor research incorporates themes from Electrolyte, Carbon, Activated carbon and Graphene foam.
His Electrochemistry study incorporates themes from Inorganic chemistry, Cobalt and Manganese.
He has included themes like Optoelectronics and Capacitor in his Nanotechnology study.
His biological study spans a wide range of topics, including Vanadium and Nanocomposite.
He most often published in these fields:
- Chemical engineering (45.56%)
- Supercapacitor (42.78%)
- Electrochemistry (25.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Chemical engineering (45.56%)
- Supercapacitor (42.78%)
- Electrode (22.22%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Chemical engineering, Supercapacitor, Electrode, Electrolyte and Electrochemistry.
He interconnects Carbon, Specific surface area and Nickel in the investigation of issues within Chemical engineering.
Supercapacitor is a subfield of Capacitance that Ncholu I. Manyala studies.
The various areas that Ncholu I. Manyala examines in his Electrode study include Composite number, Vanadium and Graphene foam.
His Composite number study combines topics from a wide range of disciplines, such as Bimetallic strip and Nanotechnology.
His research in Electrochemistry intersects with topics in Cobalt, Hydrothermal circulation and Manganese.
Between 2018 and 2021, his most popular works were:
- Comparison of ionic liquid electrolyte to aqueous electrolytes on carbon nanofibres supercapacitor electrode derived from oxygen-functionalized graphene (21 citations)
- Effect of porosity enhancing agents on the electrochemical performance of high-energy ultracapacitor electrodes derived from peanut shell waste. (20 citations)
- Ex-situ nitrogen-doped porous carbons as electrode materials for high performance supercapacitor (19 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Quantum mechanics
- Hydrogen
His main research concerns Supercapacitor, Chemical engineering, Electrolyte, Electrochemistry and Electrode.
The concepts of his Supercapacitor study are interwoven with issues in Specific energy, Nickel, Engineering physics and Graphene foam.
In his work, Faraday efficiency is strongly intertwined with Carbon, which is a subfield of Chemical engineering.
Ncholu I. Manyala works mostly in the field of Electrolyte, limiting it down to concerns involving Ionic liquid and, occasionally, Electric double-layer capacitor.
His Electrochemistry research is multidisciplinary, relying on both Activated carbon and Specific surface area.
His work investigates the relationship between Electrode and topics such as Composite number that intersect with problems in Graphite and Vanadium.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
