Pankaj Rajak

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Publications (11)

• High-throughput computation and machine learning of refractive index of polymers
  Applied Physics Letters 2023 DOI: 10.1063/5.0161198
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• Author Correction: Active learning for accelerated design of layered materials
  npj Computational Materials 2022 DOI: 10.1038/s41524-022-00902-8
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• Exploring far-from-equilibrium ultrafast polarization control in ferroelectric oxides with excited-state neural network quantum molecular dynamics
  Science Advances 2022 DOI: 10.1126/sciadv.abk2625
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• Autonomous reinforcement learning agent for chemical vapor deposition synthesis of quantum materials
  Pankaj Rajak, Aravind Krishnamoorthy, Ankit Mishra +3 more
  npj Computational Materials 2021 DOI: 10.1038/s41524-021-00535-3
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• Autonomous reinforcement learning agent for stretchable kirigami design of 2D materials
  npj Computational Materials 2021 DOI: 10.1038/s41524-021-00572-y
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• Neural Network Quantum Molecular Dynamics, Intermediate Range Order in GeSe2, and Neutron Scattering Experiments
  Pankaj Rajak, Nitish Baradwaj, Ken‐ichi Nomura +8 more
  The Journal of Physical Chemistry Letters 2021 DOI: 10.1021/acs.jpclett.1c01272
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• Mechanical behavior of ultralight nickel metamaterial
  Applied Physics Letters 2021 DOI: 10.1063/5.0031806
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• Defect Healing in Layered Materials: A Machine Learning-Assisted Characterization of MoS2 Crystal Phases
  Sungwook Leo Hong, Ken‐ichi Nomura, Aravind Krishnamoorthy +5 more
  The Journal of Physical Chemistry Letters 2019 DOI: 10.1021/acs.jpclett.9b00425
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• Neural Network Analysis of Dynamic Fracture in a Layered Material
  MRS Advances 2019 DOI: 10.1557/adv.2018.673
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• Active learning for accelerated design of layered materials
  npj Computational Materials 2018 DOI: 10.1038/s41524-018-0129-0
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• Faceting, Grain Growth, and Crack Healing in Alumina
  ACS Nano 2018 DOI: 10.1021/acsnano.8b02484
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