An electrochemical series for materials
The electrochemical series is a useful tool in electrochemistry, but its effectiveness in
materials chemistry is limited by the fact that the standard electrochemical series is based on …
materials chemistry is limited by the fact that the standard electrochemical series is based on …
Navigation through High-dimensional Chemical Space: Discovery of Ba 5 Y 13 [SiO 4] 8 O 8.5 and Ba 3 Y 2 [Si 2 O 7] 2
N Hulai, M Zanella, C Robertson, D Ritchie… - Chemical …, 2024 - pubs.rsc.org
Two compounds were discovered in the well-studied BaO-Y2O3-SiO2 phase field. Two
different experimental routines were used for the exploration of this system due to the …
different experimental routines were used for the exploration of this system due to the …
Leveraging Language Model Multitasking To Predict C–H Borylation Selectivity
C–H borylation is a high-value transformation in the synthesis of lead candidates for the
pharmaceutical industry because a wide array of downstream coupling reactions is …
pharmaceutical industry because a wide array of downstream coupling reactions is …
Descriptor Design for Perovskite Material with Compatible Molecules via Language Model and First-Principles
Y Huang, L Zhang - Journal of Chemical Theory and Computation, 2024 - ACS Publications
Directly applying big language models for material and molecular design is not
straightforward, particularly for real-scenario cases, where experimental validation accuracy …
straightforward, particularly for real-scenario cases, where experimental validation accuracy …
[HTML][HTML] https://2DMat. ChemDX. org: Experimental data platform for 2D materials from synthesis to physical properties
We present a comprehensive data platform for 2D materials research, https://2DMat.
ChemDX. org, and a newly constructed 2D database collected through the platform. This …
ChemDX. org, and a newly constructed 2D database collected through the platform. This …
[HTML][HTML] Ionic species representations for materials informatics
High-dimensional representations of the elements have become common within the field of
materials informatics to build useful, structure-agnostic models for the chemistry of materials …
materials informatics to build useful, structure-agnostic models for the chemistry of materials …
CSPBench: a benchmark and critical evaluation of Crystal Structure Prediction
Crystal structure prediction (CSP) is now increasingly used in discovering novel materials
with applications in diverse industries. However, despite decades of developments and …
with applications in diverse industries. However, despite decades of developments and …
Generative Design of inorganic compounds using deep diffusion language models
Due to the vast chemical space, discovering materials with a specific function is challenging.
Chemical formulas are obligated to conform to a set of exacting criteria, such as charge …
Chemical formulas are obligated to conform to a set of exacting criteria, such as charge …
[HTML][HTML] Data-driven exploration and first-principles analysis of perovskite material
L Zhang, J Zhou, X Chen - Journal of Materials Informatics, 2024 - oaepublish.com
In this study, we employ data-driven and first-principles methods (machine learning, density-
functional theory and language model) to comprehensively explore crystal structures …
functional theory and language model) to comprehensively explore crystal structures …