What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Statistics
- Thermodynamics
Venkat R. Subramanian focuses on Battery, Lithium, Porous electrode, Specific energy and Energy storage.
His studies in Battery integrate themes in fields like Automotive engineering and Applied mathematics.
His Lithium research integrates issues from Thermal runaway, Modeling and simulation, Power density and Intercalation.
The concepts of his Specific energy study are interwoven with issues in Cathode, Anode and Voltage.
Venkat R. Subramanian studied Anode and Engineering physics that intersect with Electrolyte.
His research integrates issues of Energy transformation, System on a chip, Embedded system and Electricity in his study of Energy storage.
His most cited work include:
- Pathways for practical high-energy long-cycling lithium metal batteries (540 citations)
- Pathways for practical high-energy long-cycling lithium metal batteries (540 citations)
- Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective (408 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Battery, Lithium, Electrochemistry, Lithium-ion battery and Automotive engineering.
His work carried out in the field of Battery brings together such families of science as Energy, Electrical engineering, Control theory and Energy storage.
His Lithium study integrates concerns from other disciplines, such as Inorganic chemistry, Optoelectronics, Anode, Simulation and Analytical chemistry.
Venkat R. Subramanian has researched Anode in several fields, including Electrolyte and Porosity.
His Electrochemistry research incorporates elements of Nanotechnology, Thermal and Chemical engineering.
His study deals with a combination of Lithium-ion battery and Physics based.
He most often published in these fields:
- Battery (35.95%)
- Lithium (27.69%)
- Electrochemistry (16.12%)
What were the highlights of his more recent work (between 2016-2021)?
- Battery (35.95%)
- Lithium (27.69%)
- Electrochemistry (16.12%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Battery, Lithium, Electrochemistry, Chemical engineering and Optoelectronics.
The Battery study combines topics in areas such as Automotive engineering, Real-time simulation, Data science and Energy storage.
His studies deal with areas such as Nickel, Cathode, Anode, Specific energy and Engineering physics as well as Energy storage.
His research in Lithium intersects with topics in Inorganic chemistry, Charge discharge, Electrolyte, Atomic physics and Electrical impedance.
His Electrochemistry research incorporates themes from Electronic engineering and Series.
His study in Optoelectronics is interdisciplinary in nature, drawing from both Dielectric spectroscopy, Battery electrode, Simultaneous optimization and Nonlinear system.
Between 2016 and 2021, his most popular works were:
- Pathways for practical high-energy long-cycling lithium metal batteries (540 citations)
- Pathways for practical high-energy long-cycling lithium metal batteries (540 citations)
- TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study (35 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Statistics
- Thermodynamics
Venkat R. Subramanian mainly focuses on Battery, Lithium, Lithium-ion battery, Physics based and Mechanical engineering.
His Battery study combines topics from a wide range of disciplines, such as Porosity, Electrolyte, Cathode, Anode and Energy storage.
His work deals with themes such as Inorganic chemistry, Electrical impedance, Electrochemistry and Chemical engineering, which intersect with Lithium.
His Lithium-ion battery study combines topics in areas such as Nuclear engineering, Optoelectronics, Nonlinear model and Series.
Venkat R. Subramanian integrates many fields, such as Physics based and engineering, in his works.
His biological study spans a wide range of topics, including Overpotential, Optimal design and Reduction.
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