Vijila Chellappan

Agency for Science, Technology and Research — Singapore

Materials Science · Physical Sciences

33h-index3.6kcitations141works5.82yr avg
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Research Topics

Conducting polymers and applications(54), Organic Electronics and Photovoltaics(53), Perovskite Materials and Applications(23), Organic Light-Emitting Diodes Research(22), Machine Learning in Materials Science(16)

Publications141 total

Boosting hybrid capacitive-intercalative Al-ion storage with N-F doped nanocarbon electrodes
Journal of Power Sources·2025Open Access
Advances in Nanofiber Cathodes for Aluminum-Ion Batteries
Advanced Fiber Materials·2025· 3 cited
Multi-Property Optimization for Designing Carbon Electrodes
SSRN Electronic Journal·2025Open Access
State-of-the-Art Carbon Cathodes with Their Intercalation Chemistry, Performance, and Challenges for Aluminum-Ion Batteries
ACS Applied Energy Materials·2024· 7 cited
Generative Design and Experimental Validation of Non-Fullerene Acceptors for Photovoltaics
ACS Energy Letters·2024· 3 cited
Thermoelectric Property Enhancement of Tellurium Nanowires by Surface Passivation
ACS Applied Materials & Interfaces·2024· 9 cited
Flexible Nanocarbon Electrodes for Holistically Engineered Solar Cell and Battery Integrated Piezoresistive Sensor
Energy Technology·2024Open Access
Machine‐Learning‐Assisted Discovery of Mechanosynthesized Lead‐Free Metal Halide Perovskites for the Oxidative Photocatalytic Cleavage of Alkenes
Advanced Science·2024· 16 citedOpen Access
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
Knowledge-Based Systems·2024· 12 cited
Progress and Complexities in Metal–Air Battery Technology
Energy Technology·2024· 11 cited
Biomimetic aligned nanofibrous dressings containing cell-selective polymer enhance diabetic wound regeneration
Materials & Design·2024· 14 citedOpen Access
Transfer Learning for Material Parameter Extraction from Current-Voltage Characteristics of Solar Cells
SSRN Electronic Journal·2024Open Access
Correction: Tackling data scarcity with transfer learning: a case study of thickness characterization from optical spectra of perovskite thin films
Digital Discovery·2024· 1 citedOpen Access
Advances in Additive Manufacturing Techniques for Electrochemical Energy Storage
Advanced Materials Technologies·2023· 44 cited
An innovative tunable bimodal porous PCL/gelatin dressing fabricated by electrospinning and 3D printing for efficient wound healing and scalable production
Composites Science and Technology·2023· 30 cited
Advancements in metalloid anodes (Si/Ge/B) for air batteries
Memories - Materials Devices Circuits and Systems·2023· 3 citedOpen Access
Transfer learning for material parameter extraction from current-voltage characteristics of solar cells
Research Square (Research Square)·2023· 2 citedOpen Access
Closed‐Loop Multi‐Objective Optimization for Cu–Sb–S Photo‐Electrocatalytic Materials’ Discovery
Advanced Materials·2023· 19 cited
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
arXiv (Cornell University)·2023· 1 citedOpen Access
Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization
Journal of Chemical Information and Modeling·2023· 13 cited
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Frequent Co-authors

Seeram Ramakrishna(27), Naveen Kumar Elumalai(9), Rajan Jose(8), R. Brindha(7), Miloš Petrović(6), Gomathy Sandhya Subramanian(5), Tao Ye(5), Panikar Sathyaseelan Archana(4), Erfan Rezvani Ghomi(3), Rajamani Lakshminarayanan(3), Rasoul Esmaeely Neisiany(3), R. Prasada Rao(3), Rajour Tanyi Ako(3), Piyasiri Ekanayake(3), David James Young(3), Ai Ling Tan(3), Lin Ke(3), Wei Peng Goh(3), Zhi‐Kuan Chen(3), Ronald Österbacka(3)