activity
20032023
most citedIntegrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences

645 citations · 2.1k across the 59 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

10 papers · 1 filter

cond-mat.mtrl-sci2023

A treatment of particle-electrolyte sharp interface fracture in solid-state batteries with multi-field discontinuities

Xiaoxuan Zhang, Tryaksh Gupta, Zhenlin Wang +3

In this work, we present a computational framework for coupled electro-chemo-(nonlinear) mechanics at the particle scale for solid-state batteries. The framework accounts for inter…

cond-mat.mtrl-sci2023★ 13 cited

Ferroelastic toughening: can it solve the mechanics challenges of solid electrolytes?

Anton Van der Ven, Robert M. McMeeking, Raphaële J. Clément +1

The most promising solid electrolytes for all-solid-state Li batteries are oxide and sulfide ceramics. Current ceramic solid electrolytes are brittle and lack the toughness to with…

cond-mat.mtrl-sci2021★ 3 cited

LiCoO phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories

Gregory H. Teichert, Sambit Das, Muratahan Aykol +3

LiO (TM={Ni, Co, Mn}) are promising cathodes for Li-ion batteries, whose electrochemical cycling performance is strongly governed by crystal structure and phase stability…

cond-mat.mtrl-sci2019★ 4 cited

Modeling strength and failure variability due to porosity in additively manufactured metals

M. Khalil, G. H. Teichert, C. Alleman +4

To model and quantify the variability in plasticity and failure of additively manufactured metals due to imperfections in their microstructure, we have developed uncertainty quanti…

cond-mat.mtrl-sci2019★ 113 cited

Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

G. H. Teichert, A. R. Natarajan, A. Van der Ven +1

The free energy of a system is central to many material models. Although free energy data is not generally found directly, its derivatives can be observed or calculated. In this wo…

cond-mat.mtrl-sci2016

Multi-physics simulations of lithiation-induced stress in LiTiO electrode particles

Tonghu Jiang, Shiva Rudraraju, Anindya Roy +3

Cubic spinel LiTiO is a promising electrode material as it exhibits a high lithium diffusivity and undergoes minimal changes in lattice parameters during lithia…