Issues and Opportunities Facing Aqueous Mn2+/MnO2‐based Batteries

Z Liu, L Qin, B Lu, X Wu, S Liang, J Zhou - ChemSusChem, 2022 - Wiley Online Library
Abstract Aqueous Mn2+/MnO2‐based batteries have attracted enormous attentions in
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 …

Target‐Driven Design of Deep‐UV Nonlinear Optical Materials via Interpretable Machine Learning

M Wu, E Tikhonov, A Tudi, I Kruglov, X Hou… - Advanced …, 2023 - Wiley Online Library
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 …

Data‐Driven Materials Innovation and Applications

Z Wang, Z Sun, H Yin, X Liu, J Wang, H Zhao… - Advanced …, 2022 - Wiley Online Library
Owing to the rapid developments to improve the accuracy and efficiency of both
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 …

[PDF][PDF] Wang

Y Wang - Jia Z, Yi Q, Song L. The various components implied …, 2018 - tranassoc.com
Systems and methods are disclosed for communicating data in an integrated sensor network
having one or more nodes coupled to an optical sensor network and a radio frequency …

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 …

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 …

Machine learning for beyond Li-ion batteries: Powering the research

A Kilic, B Oral, D Eroglu, R Yildirim - Journal of Energy Storage, 2023 - Elsevier
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 …

Predicting thermoelectric properties from chemical formula with explicitly identifying dopant effects

GS Na, S Jang, H Chang - npj Computational Materials, 2021 - nature.com
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 …