Lithium aluminosilicate (LAS) glass-ceramics: a review of recent progress

C Venkateswaran… - International …, 2022 - journals.sagepub.com
The lithium aluminosilicate system (LAS) is being explored for almost seven decades due to
its anomalous and attractive properties (especially low/negative thermal expansion and fast …

[HTML][HTML] Significance of the formation of pentahedral aluminum in the reactivity of calcined kaolin/metakaolin and its applications

JS Moya, B Cabal, S Lopez-Esteban, JF Bartolomé… - Ceramics …, 2024 - Elsevier
The specific behaviour of kaolinites heated between 600 and 800° C (metakaolinite) makes
this material very appropriate to be used as: i) ecological pozzolanic additive to ordinary …

CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment

S Banik, D Dhabal, H Chan, S Manna… - Npj Computational …, 2023 - nature.com
Abstract We introduce Crystal Edge Graph Attention Neural Network (CEGANN) workflow
that uses graph attention-based architecture to learn unique feature representations and …

Multi-reward reinforcement learning based development of inter-atomic potential models for silica

A Koneru, H Chan, S Manna, TD Loeffler… - npj Computational …, 2023 - nature.com
Silica is an abundant and technologically attractive material. Due to the structural
complexities of silica polymorphs coupled with subtle differences in Si–O bonding …

Multi-reward reinforcement learning based bond-order potential to study strain-assisted phase transitions in phosphorene

A Koneru, R Batra, S Manna, TD Loeffler… - The Journal of …, 2022 - ACS Publications
We introduce a multi-reward reinforcement learning (RL) approach to train a flexible bond-
order potential (BOP) for 2D phosphorene based on ab initio training data sets. Our …

Microstructure and shear strength of SiC/Zr joint brazed with LiAlSiO4/graphene-coated Cu-foam composite interlayer

Z Luo, G Wang, Y Zhao, C Tan, R He - Ceramics International, 2023 - Elsevier
In the present work, the microstructures and mechanical properties of Cu-foam-(graphene,
LiAlSiO 4 and graphene/LiAlSiO 4) and a CoCrNiFeCuSn high-entropy alloy as a composite …

Unsupervised landmark analysis for jump detection in molecular dynamics simulations

L Kahle, A Musaelian, N Marzari, B Kozinsky - Physical Review Materials, 2019 - APS
Molecular dynamics is a versatile and powerful method to study diffusion in solid-state ionic
conductors, requiring minimal prior knowledge of equilibrium or transition states of the …

Understanding and control of Zener pinning via phase field and ensemble learning

S Manna, H Chan, A Ghosh, T Chakrabarti… - Computational Materials …, 2023 - Elsevier
Zener pinning refers to the dispersion of fine particles which influences grain size
distribution via movement of grain boundaries in a polycrystalline material. Grain size …

Machine learning for multi-fidelity scale bridging and dynamical simulations of materials

R Batra, S Sankaranarayanan - Journal of Physics: Materials, 2020 - iopscience.iop.org
Molecular dynamics (MD) is a powerful and popular tool for understanding the dynamical
evolution of materials at the nano and mesoscopic scales. There are various flavors of MD …

TiN–LiAlSiO4 powders for hydrogen production under simulated solar light and their relationship between photocatalytic activity and the coefficient of thermal …

I Juárez-Ramírez, SD López-Martínez - Materials Science in Semiconductor …, 2022 - Elsevier
In the present work, it is reported the synergy effect from TiN with LiAlSiO 4 powders for
hydrogen production under simulated solar light. TiN–LiAlSiO 4 composites were …