The intrinsic instability and limited chemical reactivity of metal nanoparticles have long restricted their direct integration in chemiresistive gas sensing. Here, we present a highly selective, tunable, ultra-stable, and ultra-sensitive NO2 sensor derived from gold nano-islands (GNIs) and quantum dot (QD) assemblies a...
Pratyasha Rudra, I. Mandal, Ren-Qian Zhou et al.· Small· 0 citations
Scientific machine learning is becoming a powerful approach for accelerating discovery across materials science, chemistry, biology, and autonomous experimentation. However, scientific phenomena are rarely defined by a single observation. In materials science, a material or experiment may be described simultaneously by...
A. Babu, N. A. Anoop Krishnan· APL Machine Learning· 0 citations
This perspective examines three interconnected issues, namely, glass formation procedures, interatomic potential development, and machine learning applications, which emerged from the 5th International Workshop on Challenges of Atomistic Simulations of Glasses and Amorphous Materials.
N. A. Anoop Krishnan, A. Pedone, Xiao-Nan Lu et al.· Journal of The American Cera...· 0 citations
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