Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Anirban Mondal

Has grant

Assistant Professor

Indian Institute of Technology Gandhinagar

No Info

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Recent Grants

Grant: Close

Molecular Simulation of Properties for Molten Carbonate Fuel Cells

Open Date: 2020-01-01

Close Date: 2021-01-01

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Collaborators (3)

Pachaiyappan Rajamalli

Assistant Professor

Indian Institute of Science

View details

Nimai Mishra

Institute of Chemical Technology

View details

Deepak Chopra

Professor

Indian Institute of Science Education and Research Bhopal

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Anirban Mondal

Research Interests

Make your next move.

Recent Grants

Articles (20)

Structurally Resolved Water-Soluble Copper Nanoclusters with NIR TADF Exhibiting Multifunctional Catalytic Activity

A design strategy for inducing delayed fluorescence via molecular flexibility: structure–property relationships in organic emitters

Unveiling Copper Vanadium Sulfide Nanocrystals as a Next‐Generation Electrocatalyst for Selective Nitrate Remediation to Ammonia

Co‐Catalyst Free Efficient Photocatalytic CO2 Reduction Using Facet‐Engineered Polyhedral CsPbBr3 Perovskite Nanocrystals

Charge Transport Dynamics in Doped Organic Polymer: Effect of New Split‐Functional Dopant on an Amorphous Organic Semiconductor

Deconstructing Interfacial Charge-Transfer and Exciton Dynamics in Functionalized Covalent Organic Frameworks: A Marcus–Hush and Diabatization Study

Atomistic Simulation and Symbolic Regression Reveal Design Rules Linking Blend Morphology to Photovoltaic Performance in PM6:NFA Solar Cells

Spectrochemical tuning of Pd(II)dipyrrinato photocatalysts for visible-light mediated oxidative transformations

Machine Learning in Non-fullerene Organic Solar Cells: Accelerating Discovery, Design, and Understanding

Composition-Dependent Li-Ion Transport in Mixed-Metal ZIF-62 Glasses Revealed by Machine-Learning Molecular Dynamics

Singlet Oxygen (1O2)-Mediated Tunable Photocatalytic H2O2 Generation Using Donor–Acceptor Conjugated Microporous Polymers

Interplay of Solvation Dynamics and Ion Transport in Concentrated LiFSA–Sulfone Electrolytes

Graphene‐Oxide‐Mediated Photothermal Ring‐Closing Metathesis: A Gateway for Organelle Imaging Probes

Physics-Guided Inverse Design of Nonfullerene Acceptors via a Deep-Learning-Accelerated Genetic Algorithm

Beyond dipole strength: interfacial charge-transfer kinetics govern device efficiency at SAM/ITO interfaces

Cation-mixing effects on medium-range order and ion dynamics in potassium-substituted LiSiPON amorphous electrolytes

Combined experimental and theoretical elucidation of PCET pathways in electrocatalytic alcohol oxidation and its application in PET upcycling

Deconvoluting fast ion conduction in glassy antiperovskite Li2OHBr0.5Cl0.5via machine-learning potentials: lattice compliance and the partial paddlewheel mechanism

Electron–phonon coupling driven self-trapped excitons: a descriptor-based phase diagram for perovskites

From fragments to function: data-driven design of high-performance non-fullerene acceptors for organic photovoltaics

Collaborators (3)

Pachaiyappan Rajamalli

Nimai Mishra

Deepak Chopra

Make your next move.