Manav

@ethz.ch

Postdoctoral researcher, Mechanical and Process Engineering
ETH Zurich

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Mechanics of Materials, Computational Mechanics, Polymers and Plastics
357

Scholar Citations

9

Scholar h-index

7

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion
    M Manav, N Perraudin, Y Lin, M Afrasiabi, F Perez-Cruz, M Bambach, ...
    Journal of Intelligent Manufacturing, 1-18 , 2025
    2025.0
    Citations: 9
  • Predicting crack nucleation and propagation in brittle materials using deep operator networks with diverse trunk architectures
    E Kiyani, M Manav, N Kadivar, L De Lorenzis, GE Karniadakis
    Computer Methods in Applied Mechanics and Engineering 441, 117984 , 2025
    2025.0
    Citations: 25
  • Phase-field modeling of fracture with physics-informed deep learning
    M Manav, R Molinaro, S Mishra, L De Lorenzis
    Computer Methods in Applied Mechanics and Engineering 429, 117104 , 2024
    2024.0
    Citations: 86
  • Calibration and validation of a phase-field model of brittle fracture within the damage mechanics challenge
    J Heinzmann, P Carrara, C Luo, M Manav, A Mishra, S Nagaraja, ...
    Engineering Fracture Mechanics 307, 110319 , 2024
    2024.0
    Citations: 9
  • Modeling hard–soft block copolymers as a liquid crystalline polymer
    M Manav, M Ponga, M Ortiz
    Polymer 287, 126389 , 2023
    2023.0
  • Learning dynamics of spring-mass models with physics-informed graph neural net-works
    V Sharma, M Manav, L De Lorenzis, O Fink
    Proceedings of the 33rd European Safety and Reliability Conference (ESREL … , 2023
    2023.0
  • Calibration of Phase-Field Models with Experimental Data of Anisotropic Rock
    J Heinzmann, M Manav, A Mishra, S Nagaraja, H Oudich, F Vicentini, ...
    AGU Fall Meeting Abstracts 2022, NG22A-04 , 2022
    2022.0
  • Molecular dynamics study of the shock response of polyurea
    M Manav, M Ortiz
    Polymer 212, 123109 , 2021
    2021.0
    Citations: 53
  • Stress in a stimuli-responsive polymer brush
    M Manav, M Ponga, AS Phani
    Macromolecules 54 (1), 170-182 , 2020
    2020.0
    Citations: 9
  • Mechanics of a polymer brush
    M Manav, M Ponga, A SPhani
    56th Annual Technical Meeting of Society of Engineering Science (SES 2019) , 2019
    2019.0
  • Stress in a polymer brush
    M Manav, M Ponga, AS Phani
    Journal of the Mechanics and Physics of Solids 127, 125-150 , 2019
    2019.0
    Citations: 8
  • Mode localization and sensitivity in weakly coupled resonators
    M Manav, AS Phani, E Cretu
    IEEE Sensors Journal 19 (8), 2999-3007 , 2018
    2018.0
    Citations: 47
  • Mechanics of polymer brush based soft active materials–theory and experiments
    M Manav, P Anilkumar, AS Phani
    Journal of the Mechanics and Physics of Solids 121, 296-312 , 2018
    2018.0
    Citations: 20
  • Polymer brush: molecular parameters - mechanical properties relation
    M Manav, AS Phani
    54th Annual Technical Meeting of the Society of Engineering Science (SES 2017) , 2017
    2017.0
  • Mode localized MEMS transducers with voltage-controlled linear coupling
    M Manav, AS Phani, E Cretu
    Journal of Micromechanics and Microengineering 27 (5), 055010 , 2017
    2017.0
    Citations: 16
  • Mechanics of thermoresponsive polymer brush based soft materials: theory and experiments
    M Manav, MP Bajgai, JN Kizhakkedathu, AS Phani
    24th International Congress of Theoretical and Applied Mechanics (ICTAM 2016) , 2016
    2016.0
  • Mechanics of temperature sensitive polymer brush based soft actuator
    M Manav, MP Bajgai, JN Kizhakkedathu, AS Phani
    The 8th World Congress on Biomimetics, Artificial Muscles, and Nano-Bio , 2015
    2015.0
  • Ultrasensitive resonant MEMS transducers with tunable coupling
    M Manav, G Reynen, M Sharma, E Cretu, AS Phani
    2013 Transducers & Eurosensors XXVII: The 17th International Conference on … , 2013
    2013.0
    Citations: 75
  • Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures
    M Manav, N Kadivar, L De Lorenzis, GE Karniadakis
  • Phase-Field Fracture Modeling using Physics-Informed Deep Learning
    M Manav, R Molinaro, S Mishra, L De Lorenzis

MOST CITED SCHOLAR PUBLICATIONS

  • Phase-field modeling of fracture with physics-informed deep learning
    M Manav, R Molinaro, S Mishra, L De Lorenzis
    Computer Methods in Applied Mechanics and Engineering 429, 117104 , 2024
    2024.0
    Citations: 86
  • Ultrasensitive resonant MEMS transducers with tunable coupling
    M Manav, G Reynen, M Sharma, E Cretu, AS Phani
    2013 Transducers & Eurosensors XXVII: The 17th International Conference on … , 2013
    2013.0
    Citations: 75
  • Molecular dynamics study of the shock response of polyurea
    M Manav, M Ortiz
    Polymer 212, 123109 , 2021
    2021.0
    Citations: 53
  • Mode localization and sensitivity in weakly coupled resonators
    M Manav, AS Phani, E Cretu
    IEEE Sensors Journal 19 (8), 2999-3007 , 2018
    2018.0
    Citations: 47
  • Predicting crack nucleation and propagation in brittle materials using deep operator networks with diverse trunk architectures
    E Kiyani, M Manav, N Kadivar, L De Lorenzis, GE Karniadakis
    Computer Methods in Applied Mechanics and Engineering 441, 117984 , 2025
    2025.0
    Citations: 25
  • Mechanics of polymer brush based soft active materials–theory and experiments
    M Manav, P Anilkumar, AS Phani
    Journal of the Mechanics and Physics of Solids 121, 296-312 , 2018
    2018.0
    Citations: 20
  • Mode localized MEMS transducers with voltage-controlled linear coupling
    M Manav, AS Phani, E Cretu
    Journal of Micromechanics and Microengineering 27 (5), 055010 , 2017
    2017.0
    Citations: 16
  • MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion
    M Manav, N Perraudin, Y Lin, M Afrasiabi, F Perez-Cruz, M Bambach, ...
    Journal of Intelligent Manufacturing, 1-18 , 2025
    2025.0
    Citations: 9
  • Calibration and validation of a phase-field model of brittle fracture within the damage mechanics challenge
    J Heinzmann, P Carrara, C Luo, M Manav, A Mishra, S Nagaraja, ...
    Engineering Fracture Mechanics 307, 110319 , 2024
    2024.0
    Citations: 9
  • Stress in a stimuli-responsive polymer brush
    M Manav, M Ponga, AS Phani
    Macromolecules 54 (1), 170-182 , 2020
    2020.0
    Citations: 9
  • Stress in a polymer brush
    M Manav, M Ponga, AS Phani
    Journal of the Mechanics and Physics of Solids 127, 125-150 , 2019
    2019.0
    Citations: 8
  • Modeling hard–soft block copolymers as a liquid crystalline polymer
    M Manav, M Ponga, M Ortiz
    Polymer 287, 126389 , 2023
    2023.0
  • Learning dynamics of spring-mass models with physics-informed graph neural net-works
    V Sharma, M Manav, L De Lorenzis, O Fink
    Proceedings of the 33rd European Safety and Reliability Conference (ESREL … , 2023
    2023.0
  • Calibration of Phase-Field Models with Experimental Data of Anisotropic Rock
    J Heinzmann, M Manav, A Mishra, S Nagaraja, H Oudich, F Vicentini, ...
    AGU Fall Meeting Abstracts 2022, NG22A-04 , 2022
    2022.0
  • Mechanics of a polymer brush
    M Manav, M Ponga, A SPhani
    56th Annual Technical Meeting of Society of Engineering Science (SES 2019) , 2019
    2019.0
  • Polymer brush: molecular parameters - mechanical properties relation
    M Manav, AS Phani
    54th Annual Technical Meeting of the Society of Engineering Science (SES 2017) , 2017
    2017.0
  • Mechanics of thermoresponsive polymer brush based soft materials: theory and experiments
    M Manav, MP Bajgai, JN Kizhakkedathu, AS Phani
    24th International Congress of Theoretical and Applied Mechanics (ICTAM 2016) , 2016
    2016.0
  • Mechanics of temperature sensitive polymer brush based soft actuator
    M Manav, MP Bajgai, JN Kizhakkedathu, AS Phani
    The 8th World Congress on Biomimetics, Artificial Muscles, and Nano-Bio , 2015
    2015.0
  • Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures
    M Manav, N Kadivar, L De Lorenzis, GE Karniadakis
  • Phase-Field Fracture Modeling using Physics-Informed Deep Learning
    M Manav, R Molinaro, S Mishra, L De Lorenzis