activity
20222026
most citedBefriending ChatGPT and other superchatbots: An AI-integrated take-home assessment preserving integrity

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Mechanistic Phase-Field Modelling of Woven-Domain Formation in Ferroelectric Material

P G Kubendran Amos

A recent experimental study reports the spontaneous formation of a three-dimensional woven ferroelectric domain fabric in bulk KTN:Li during sufficiently slow cooling through the f…

cond-mat.mtrl-sci2024

Interpretable MA-island clusters and fingerprints relating bainite microstructures to composition and processing temperature

Vinod Kumar, Sharukh Hussain, Priyanka S +1

Realising the affect of composition and processing condition on bainite microstructures is often challenging, owing to the intricate distribution of the constituent phases. In this…

cond-mat.mtrl-sci2024★ 1 cited

The inadequacy of the geometric features of MA islands in relating bainite microstructures to composition and processing conditions

Vinod Kumar, Sharukh Hussain, Priyanka S +1

Achieving desired properties in bainite steels with MA islands demands understanding the affect of processing conditions and composition on their size and morphology. Generally, th…

physics.ed-ph2023★ 1 cited

Befriending ChatGPT and other superchatbots: An AI-integrated take-home assessment preserving integrity

P G Kubendran Amos

With the launch of ChatGPT, serious concerns have reasonably been raised of its ill-effect on the integrity of remote take-home exams. By way of mitigating the concern, in this stu…

cond-mat.mtrl-sci2022

Accessing topological feature of polycrystalline microstructure using object detection technique

Mridhula Venkatanarayanan, P G Kubendran Amos

Faces-classes of grains, often referred to as topological features, largely dictate the evolution of polycrystalline microstructures during grain growth. Realising these topologica…