Krishna Rajan

7PUBLICATIONS
10CO-AUTHORS
Process control and simulationDecision makingMetals and alloy materialsCatalysis and mechanisms of reactionsChemical engineering design
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Publications (7)

|Jul 27, 2026
Unveiling the Structural Determinants of PFAS Toxicity: A Graph Neural Network and Interpretability Analysis.

|Jul 22, 2025
Uncertainty-Informed Screening for Safer Solvents Used in the Synthesis of Perovskites via Language Models.

Arpan Mukherjee, Deepesh Giri, Krishna Rajan

|Jun 23, 2025
Atomic Interaction-Based Prediction of Phase Formations in High-Entropy Alloys.

Md Tohidul Islam, Stephen A Giles, Debasis Sengupta

|Feb 23, 2023
Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis.

Daniel Vizoso, Ghatu Subhash, Krishna Rajan

|Apr 19, 2021
Deep Learning Model for Identifying Critical Structural Motifs in Potential Endocrine Disruptors.

Arpan Mukherjee, An Su, Krishna Rajan

|Aug 26, 2020
Deep Learning Based Prediction of Perovskite Lattice Parameters from Hirshfeld Surface Fingerprints.

Logan Williams, Arpan Mukherjee, Krishna Rajan

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Frequent Collaborators

3 joint publications

Arpan Mukherjee

2 joint publications

An Su

1 joint publications

Bryan H Bellaire

1 joint publications

Balaji Narasimhan