MatGPT: A vane of materials informatics from past, present, to future
Combining materials science, artificial intelligence (AI), physical chemistry, and other
disciplines, materials informatics is continuously accelerating the vigorous development of …
disciplines, materials informatics is continuously accelerating the vigorous development of …
[HTML][HTML] Meta-analysis of CO2 conversion, energy efficiency, and other performance data of plasma-catalysis reactors with the open access PIONEER database
This paper brings the comparison of performances of CO 2 conversion by plasma and
plasma-assisted catalysis based on the data collected from literature in this field, organised …
plasma-assisted catalysis based on the data collected from literature in this field, organised …
Atom substitution of the solid-state electrolyte Li10GeP2S12 for stabilized all-solid-state lithium metal batteries
Abstract Solid-state electrolyte Li 10 GeP 2 S 12 (LGPS) has a high lithium ion conductivity
of 12 mS cm− 1 at room temperature, but its inferior chemical stability against lithium metal …
of 12 mS cm− 1 at room temperature, but its inferior chemical stability against lithium metal …
AlphaMat: a material informatics hub connecting data, features, models and applications
The development of modern civil industry, energy and information technology is inseparable
from the rapid explorations of new materials. However, only a small fraction of materials …
from the rapid explorations of new materials. However, only a small fraction of materials …
XRDMatch: a semi-supervised learning framework to efficiently discover room temperature lithium superionic conductors
Z Wan, Z Chen, H Chen, Y Jiang, J Zhang… - Energy & …, 2024 - pubs.rsc.org
The long-sought prediction pipelines for solid-state electrolytes (SSEs) with room-
temperature superionic conductivity mark a significant milestone on the path towards …
temperature superionic conductivity mark a significant milestone on the path towards …
[HTML][HTML] Speeding up the development of solid state electrolyte by machine learning
Solid-state electrolytes have been demonstrated immense potential with their high density
and safety for Li, Na batteries. The discovery of novel crystals is of fundamental scientific and …
and safety for Li, Na batteries. The discovery of novel crystals is of fundamental scientific and …
Transformer enables ion transport behavior evolution and conductivity regulation for solid electrolyte
Ab initio molecular dynamics (AIMD) is an important technique for studying ion transport
within solid electrolyte and interface effects between electrode and electrolyte, which is …
within solid electrolyte and interface effects between electrode and electrolyte, which is …
Unlocking Potential of Pyrochlore in Energy Systems via Soft Voting Ensemble Learning
In traditional machine learning (ML)‐based material design, the defects of low prediction
accuracy, overfitting and low generalization ability are mainly caused by the training of a …
accuracy, overfitting and low generalization ability are mainly caused by the training of a …
Theoretical calculation and simulations power the design of inorganic solid-state electrolytes
L Xia, H Liu, Y Pei - Nanoscale, 2024 - pubs.rsc.org
Using solid-state electrolytes (SSEs) to build batteries helps improve the safety and lifespan
of batteries, making it crucial to deeply understand the fundamental physical and chemical …
of batteries, making it crucial to deeply understand the fundamental physical and chemical …
CEEM: a Chemically Explainable Deep Learning Platform for Identifying Compounds with Low Effective Mass
The semiconductor industry occupies a crucial position in the fields of integrated circuits,
energy, and communication systems. Effective mass (mE), which is closely related to …
energy, and communication systems. Effective mass (mE), which is closely related to …