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Abhishek Tewari
Observed names:
A Tewari,
A. Tewari,
Tewari, Abhishek
Institution:
Indian Institute of Technology Roorkee
Observed institutions:
University of Modena and Reggio Emilia,
Indian Institute of Technology Roorkee,
École Polytechnique Fédérale de Lausanne,
Indian Institute of Technology Kanpur
ORCID:
0000-0001-5977-2230
Observed ORCID:
0000-0001-5977-2230
OpenAlex ID:
A5057997300
Model for fretting wear of brittle ceramics
2009
·
Abhishek Tewari
, Bikramjit Basu
, et al.
·
Acta Materialia
·
47
Machine learning approaches to identify and design low thermal conductivity oxides for thermoelectric applications
2020
·
Abhishek Tewari
, Siddharth Dixit
, et al.
·
Data-Centric Engineering
·
28
PDF
A review on computational modeling of instability and degradation issues of halide perovskite photovoltaic materials
2023
·
Pranjul Bhatt
, Ayush Kumar Pandey
, et al.
·
Wiley Interdisciplinary Reviews Computational Molecular Science
·
25
Atomistic modelling and experimental study of tensile strength of nanocomposite hydrogel
2024
·
Raju Kumar
, Ankur Chaurasia
, et al.
·
International Journal of Mechanical Sciences
·
22
Atomistic modeling of dopant segregation in α-alumina ceramics: Coverage dependent energy of segregation and nominal dopant solubility
2011
·
S. Galmarini
, U. Aschauer
, et al.
·
Journal of the European Ceramic Society
·
22
PDF
Atomistic Modeling of Effect of Mg on Oxygen Vacancy Diffusion in α‐Alumina
2014
·
Abhishek Tewari
, Ulrich Aschauer
, et al.
·
Journal of the American Ceramic Society
·
21
PDF
Time constant determination for electrical equivalent of biological cells
2009
·
Ashutosh Kumar Dubey
, Shourya Dutta-Gupta
, et al.
·
Journal of Applied Physics
·
20
Phase transition behaviour of hydrated Glauber’s salt based phase change materials and the effect of ionic salt additives: A molecular dynamics study
2021
·
Ashwin Sankar Deepa
, Abhishek Tewari
·
Computational Materials Science
·
18
Interval prediction machine learning models for predicting experimental thermal conductivity of high entropy alloys
2022
·
Navya Yadav
, Nirvik Chakraborty
, et al.
·
Computational Materials Science
·
17
Load dependence of oxidative wear in metal/ceramic tribocouples in fretting environment
2012
·
Abhishek Tewari
·
Wear
·
17
PDF
Atomistic modeling of the effect of codoping on the atomistic structure of interfaces in α-alumina
2012
·
Abhishek Tewari
, Sandra Galmarini
, et al.
·
Journal of the European Ceramic Society
·
15
PDF
Unveiling the Impact of Bi3+ Heterovalent Doping on the Negative Capacitance and Ionic Conductivity of Perovskite Single Crystals: Implication in Neuromorphic Computing
2025
·
Farha Naaz Mansoorie
, Pranjul Bhatt
, et al.
·
ACS Applied Materials & Interfaces
·
13
Thermal Transport Phenomena in PEGDA-Based Nanocomposite Hydrogels Using Atomistic and Experimental Techniques
2024
·
Raju Kumar
, Abhishek Tewari
, et al.
·
The Journal of Physical Chemistry B
·
13
Long-Range Binding of Defect Clusters Leads to Suppressed Ion Mobility in Cs-Doped Methylammonium Lead Iodide
2023
·
Pranjul Bhatt
, Amit Kumar
, et al.
·
ACS Applied Energy Materials
·
13
Toward Knowledge‐Based Grain‐Boundary Engineering of Transparent Alumina Combining Advanced TEM and Atomistic Modeling
2015
·
Abhishek Tewari
, Farhang Nabiei
, et al.
·
Journal of the American Ceramic Society
·
12
Grain boundary complexion and transparent polycrystalline alumina from an atomistic simulation perspective
2016
·
Abhishek Tewari
, Paul Bowen
·
Current Opinion in Solid State and Materials Science
·
11
A scalable crystal representation for reverse engineering of novel inorganic materials using deep generative models
2023
·
Rochan Bajpai
, Atharva Shukla
, et al.
·
Computational Materials Science
·
10
PDF
Rheological behaviour of SiC (particulate)-borosilicate composites at elevated temperatures
1996
·
A. Tewari
, V. S. R. Murthy
, et al.
·
Journal of Materials Science Letters
·
10
An atomistic and experimental approach to study the effect of water and nanofillers on the compressive strength of PEGDA hydrogels for cartilage replacement
2024
·
Raju Kumar
, Abhishek Tewari
, et al.
·
Mechanics of Materials
·
9
A Novel Mathematical Model for Porosity-Dependent Thermoelectric Properties in Al-Doped ZnO Functionally Graded Devices: Performance Analysis and Optimization
2025
·
Shardul Rai
, Abhishek Tewari
, et al.
·
Journal of Electronic Materials
·
8
Segregation of anion (Cl−) impurities at transparent polycrystalline α-alumina interfaces
2014
·
Abhishek Tewari
, Farhang Nabiei
, et al.
·
Journal of the European Ceramic Society
·
8
PDF
Atomistic modeling and experimental study of dopant segregation induced morphology transition in ZnO nanoparticles
2025
·
Vishal Panwar
, Navya Yadav
, et al.
·
Journal of the American Ceramic Society
·
7
LLM-based AI agents for automated extraction of material properties and structural features
2026
·
Subham Ghosh
, Abhishek Tewari
·
Computational Materials Science
·
6
PDF
Influence of grain size and spatial volume fraction variation in ZnO based functionally graded thermoelectric devices
2025
·
Shardul Rai
, Kshitij Kumar Sharma
, et al.
·
Scientific Reports
·
6
PDF
Genetic algorithm assisted multiscale modeling of grain boundary segregation of Al in ZnO and its correlation with nominal dopant concentration
2023
·
Navya Yadav
, Stephen C. Parker
, et al.
·
Journal of the European Ceramic Society
·
6
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Works count:
51
Citation count:
407
H-index:
13
I10-index:
18
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