Dr. Sneha Mittal

About

I am a Postdoctoral Associate in the Department of Physics at the Technical University of Denmark (DTU), working in the group of Prof. Mads Brandbyge. My research focuses on atomic-scale quantum transport and theoretical nanoelectronics, integrating machine learning (ML) and first-principles methods (DFT/MD) to design advanced two-dimensional quantum materials for targeted applications.

Employment

• Technical University of Denmark Postdoctoral Associate
  2025 - Present
• Indian Institute of Technology Indore Postdoctoral Fellow
  2024 - 2025

Education

• Indian Institute of Technology Indore Ph.D.
  2020 - 2024
• University of Delhi M.Sc.
  2016 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (32)

• AI-Driven Two-Dimensional Molecular Electronics Spectroscopy for Chiral Discrimination of Natural Products
  ACS Materials Letters 2026 DOI: 10.1021/acsmaterialslett.6c00229
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• Decoding d- and l-Amino Acids: Data-Driven Recognition of Enantiomers and Post-Translational Modifications via Quantum Tunneling
  The Journal of Physical Chemistry Letters 2026 DOI: 10.1021/acs.jpclett.6c00203
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• Quantum-Transport Informed Machine Learning for Identifying Tobacco-Induced Regioisomeric DNA Adducts
  Analytical Chemistry 2026 DOI: 10.1021/acs.analchem.5c06659
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• Quantum Feature Engineering for Electronic Profiling of Biomolecules via Density of States: Beyond Transmission Fingerprints
  Analytical Chemistry 2026 DOI: 10.1021/acs.analchem.6c01038
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• Hydrophosphanylation of Alkynes via Magnesium Complexes: Evidence for Ligand Dependency in Structure–Activity Relationships
  Chemistry – A European Journal 2025 DOI: 10.1002/chem.202500002
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• A hybrid supervised and unsupervised machine learning approach for identifying nucleoside drugs using nanopore readouts
  Nanoscale 2025 DOI: 10.1039/D5NR01379H
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• Machine Learning Recognition of Artificial DNA Sequence with Quantum Tunneling Nanogap Junction
  The Journal of Physical Chemistry B 2025 DOI: 10.1021/acs.jpcb.4c06270
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• Automated-Screening Oriented Electric Sensing of Vitamin B1 Using a Machine Learning Aided Solid-State Nanopore
  The Journal of Physical Chemistry B 2025 DOI: 10.1021/acs.jpcb.4c05619
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• Machine Learning-Driven Quantum Sequencing of Natural and Chemically Modified DNA
  ACS Applied Materials & Interfaces 2025 DOI: 10.1021/acsami.4c22809
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• Unlocking the 12-Letter Genetic Code: ML-Empowered Quantum Nanopore Base-Calling Even for DNA Isomers
  ACS Applied Nano Materials 2025 DOI: 10.1021/acsanm.5c01658
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