Issues and Opportunities Facing Aqueous Mn2+/MnO2‐based Batteries
Abstract Aqueous Mn2+/MnO2‐based batteries have attracted enormous attentions in
aqueous energy storage fields, owing to their high working voltage and theoretical capacity …
aqueous energy storage fields, owing to their high working voltage and theoretical capacity …
Artificial intelligence in chemistry: current trends and future directions
ZJ Baum, X Yu, PY Ayala, Y Zhao… - Journal of Chemical …, 2021 - ACS Publications
The application of artificial intelligence (AI) to chemistry has grown tremendously in recent
years. In this Review, we studied the growth and distribution of AI-related chemistry …
years. In this Review, we studied the growth and distribution of AI-related chemistry …
Target‐Driven Design of Deep‐UV Nonlinear Optical Materials via Interpretable Machine Learning
The development of a data‐driven science paradigm is greatly revolutionizing the process of
materials discovery. Particularly, exploring novel nonlinear optical (NLO) materials with the …
materials discovery. Particularly, exploring novel nonlinear optical (NLO) materials with the …
Data‐Driven Materials Innovation and Applications
Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …
experimental and computational investigative methodologies, the massive amounts of data …
[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives
Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …
efforts in cleaner power production, advanced energy storages, flexible district energy …
Lifecycle research of social media rumor refutation effectiveness based on machine learning and visualization technology
Z Li, X Du, Y Zhao, Y Tu, B Lev, L Gan - Information Processing & …, 2022 - Elsevier
Rumor refutation is a common method to control rumors to address potential risks. This
paper studies the social media rumor refutation effectiveness lifecycle (SMRREL), focusing …
paper studies the social media rumor refutation effectiveness lifecycle (SMRREL), focusing …
Methods, progresses, and opportunities of materials informatics
C Li, K Zheng - InfoMat, 2023 - Wiley Online Library
As an implementation tool of data intensive scientific research methods, machine learning
(ML) can effectively shorten the research and development (R&D) cycle of new materials by …
(ML) can effectively shorten the research and development (R&D) cycle of new materials by …
Machine learning for beyond Li-ion batteries: Powering the research
New alternatives for various elements of Li-ion battery (LIB) have been investigated to
overcome its limitations, creating a new class of batteries called beyond LIBs. There has …
overcome its limitations, creating a new class of batteries called beyond LIBs. There has …
Predicting thermoelectric properties from chemical formula with explicitly identifying dopant effects
Dopants play an important role in synthesizing materials to improve target materials
properties or stabilize the materials. In particular, the dopants are essential to improve …
properties or stabilize the materials. In particular, the dopants are essential to improve …