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From the 1 of 6 linked papers with an AI index.

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6 papers

cond-mat.str-el2026

Thermodynamic and electrical transport properties of the half-Heusler plumbide TbAuPb

Abhinav Agarwal, Snehashish Chatterjee, Maciej J. Winiarski +4

The paper investigates the crystal structure, thermodynamic behavior, and electrical transport of the half‑Heusler compound TbAuPb, revealing antiferromagnetic ordering at 5 K, a f…

cs.RO2026

Training and Evaluating Diffusion Policies with Long Context Lengths

Abhinav Agarwal, Adam Wei, Taylan Kargin +6

Imitation learning has enabled highly-dexterous robotic manipulation from RGB observations. Policies trained with these methods, however, typically condition robot actions on only…

cond-mat.str-el2026

Anomalous magnetotransport in the single-crystalline half-Heusler antiferromagnet ErPdSb

Abhinav Agarwal, Shovan Dan, Maciej J. Winiarski +3

We report the thermodynamic and magnetotransport properties of the half-Heusler antimonide ErPdSb, studied on single-crystalline samples in wide ranges of temperature and magnetic…

cond-mat.str-el2026

Magnetic and electrical transport properties of the single-crystalline half-Heusler antiferromagnet DyNiSb

Abhinav Agarwal, Prabuddha Kant Mishra, Orest Pavlosiuk +3

High-quality single crystals of the half-Heusler compound DyNiSb were investigated for their low temperature thermodynamic and magnetotransport properties. Magnetic susceptibility,…

cond-mat.mtrl-sci2025

Field-induced reversible phase transition and negative differential resistance in In2Se3 ferroelectric semiconducting FETs

Jishnu Ghosh, Shubham Parate, Arup Basak +6

Indium selenide (In2Se3), a ferroelectric semiconductor, offers a unique platform for multifunctional nanoelectronics owing to the interplay between polarization dynamics, interlay…

cs.RO2025

Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels

Adam Wei, Abhinav Agarwal, Boyuan Chen +3

Cotraining with demonstration data generated both in simulation and on real hardware has emerged as a promising recipe for scaling imitation learning in robotics. This work seeks t…