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Tarak Karmakar

Assistant Professor

Indian Institute of Technology, Delhi

Research Interests

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Articles (20)

Collaborators (2)

Aarat Kalra

Assistant Professor

Indian Institute of Technology, Delhi

Zhennan Wu

Jilin University

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Tarak Karmakar

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (2)

Aarat Kalra

Zhennan Wu

Make your next move.

Tarak Karmakar

Research Interests

Make your next move.

Explore related searches

Articles (20)

Aggregation-Mediated Cuprophilic Interactions Governing the Luminescence of a Cu6 Nanocluster

Predicting Aqueous Solubility of Pharmaceutical Cocrystals Using Constant Chemical Potential Enhanced Sampling Simulations

Local Variational Graph Coarsening for Machine Learning Coarse-Grained Molecular Dynamics Simulations

Mentorship Strategies for New Principal Investigators in Computational Chemistry

Palladium-Catalyzed Unsymmetrical bis-Allylation of Active Methylene Compounds Using Vinyl Sulfoxonium Ylides and Allyl Esters

Turning Aggregation into a Mode of Activation: An Application in Photoinduced Anti-Markovnikov Hydroarylation

Revisiting Lanthanide Solvation: The “Gadolinium Break” That Does Exist

Chemically resolved ethylene carbonate decomposition reveals the origins of carbonate-rich passivation on sodium metal

Triplet Energy Migration in Cytoskeletal Polymers

Dynamics of gold nanocluster on MgO surface with F-center defect and its implication for CO oxidation

Understanding RNA Chaperone Activity of ProQ Protein

Multiscale Modeling Approach to Chiral Nanocluster Self-Assembly

Insights into the Interactions Between Monolayer‐Protected Metal Nanoclusters and Amyloid‐β Fibrils

Understanding Dynamics of Nanocluster–Organic Frameworks and Gas Diffusion from Machine Learning Potential-Based Simulations

Locality-Sensitive Hashing-Based Data Set Reduction for Deep Potential Training

Atomistic Details of Nanocluster Formation from Machine-Learned-Potential-Based Simulations

Unveiling Interactions of a Peptide-Bound Monolayer-Protected Metal Nanocluster with a Lipid Bilayer

Ylide-Induced Ring Contraction of Coumarins to Benzofurans: Applications to the Synthesis of Bis-Heterocycles

Enhanced Sampling Simulations of RNA–Peptide Binding Using Deep Learning Collective Variables

Computational exploration of vinyl sulfoxonium ylide chemistry

Collaborators (2)

Aarat Kalra

Zhennan Wu

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