Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes

Chen, Bin; Xia, Shu-Tao

doi:10.1109/itw.2018.8613387

Cited by 1 publication

(3 citation statements)

References 12 publications

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“…52 The atomic simulation environment (ASE) 53 is used in conjunction with VASP to develop custom automation scripts in Python which are available at GitHub. 54 The electron-ion interactions are treated using the projected augmented wave (PAW) method. The exchange-correlation effects are incorporated using the Perdew-Burke-Ernzerhof (PBE) functional.…”

Section: Energy Calculationsmentioning

confidence: 99%

“…3 DoFs are for the crystallographic orientation of one grain relative to the other and 2 DoFs are for the orientation of the boundary relative to one of the grains, that is, the GB plane. 54 One notable advantage of this approach is the precise control it provides over the number of layers within each grain, allowing for tailored investigations. The GB is characterized by its interface energy which is defined according to Equation 2.2.…”

Section: Generation Of Grain Boundarymentioning

confidence: 99%

“…As a result, a model is developed through a custom Python script. 54 In this approach, one layer is fixed within each of the grains, preventing any atomic position relaxation. Employing a systematic, serial methodology, relative displacements are introduced between the layers of one grain to the other.…”

Section: Grain Boundary Slidingmentioning

confidence: 99%

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First Principles Study of Aluminum Doped Polycrystalline Silicon as a Potential Anode Candidate in Li‐ion Batteries

Bhimineni,

Ko,

Cornwell

et al. 2024

Advanced Energy Materials

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Addressing sustainable energy storage remains crucial for transitioning to renewable sources. While Li‐ion batteries have made significant contributions, enhancing their capacity through alternative materials remains a key challenge. Micro‐sized silicon is a promising anode material due to its tenfold higher theoretical capacity compared to conventional graphite. However, its substantial volumetric expansion during cycling impedes practical application due to mechanical failure and rapid capacity fading. A novel approach is proposed to mitigate this issue by incorporating trace amounts of aluminum into the micro‐sized silicon electrode using ball milling. Density functional theory (DFT) is employed to establish a theoretical framework elucidating how grain boundary sliding, a key mechanism involved in preventing mechanical failure is facilitated by the presence of trace aluminum at grain boundaries. This, in turn, reduces stress accumulation within the material, reducing the likelihood of failure. To validate the theoretical predictions, capacity retention experiments are conducted on undoped and Al‐doped micro‐sized silicon samples. The results demonstrate significantly reduced capacity fading in the doped sample, corroborating the theoretical framework and showcasing the potential of aluminum doping for improved Li‐ion battery performance.

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Section: Energy Calculationsmentioning

confidence: 99%

Section: Generation Of Grain Boundarymentioning

confidence: 99%