A brief overview of deep generative models and how they can be used to discover new electrode materials DOI Creative Commons
Anders Hellman

Current Opinion in Electrochemistry, Год журнала: 2024, Номер unknown, С. 101629 - 101629

Опубликована: Дек. 1, 2024

Язык: Английский

Interfacial engineering of transition metal dichalcogenide/carbon heterostructures for electrochemical energy applications DOI
Biao Chen, Simi Sui, Fang He

и другие.

Chemical Society Reviews, Год журнала: 2023, Номер 52(22), С. 7802 - 7847

Опубликована: Янв. 1, 2023

This review provides a fundamental understanding of three types interfacial engineering in TMDC/C heterostructures and guidance for designing electrochemical energy applications.

Язык: Английский

Процитировано

65

Insights into infrared crystal phase characteristics based on deep learning holography with attention residual network DOI
Haochong Huang, Haichao Huang, Zhiyuan Zheng

и другие.

Journal of Materials Chemistry A, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Through a synergistic blend of infrared digital holography and deep learning, we introduce unconventional mechanistic insight, namely the crystal phase.

Язык: Английский

Процитировано

10

Routes to Bidirectional Cathodes for Reversible Aprotic Alkali Metal–CO2 Batteries DOI
Yihao Cheng,

Yu‐Xuan Wang,

Biao Chen

и другие.

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Сен. 23, 2024

Aprotic alkali metal-CO

Процитировано

11

Recent Advances in Multifunctional Reticular Framework Nanoparticles: A Paradigm Shift in Materials Science Road to a Structured Future DOI Creative Commons

Maryam Chafiq,

Abdelkarim Chaouiki, Young Gun Ko

и другие.

Nano-Micro Letters, Год журнала: 2023, Номер 15(1)

Опубликована: Сен. 22, 2023

Porous organic frameworks (POFs) have become a highly sought-after research domain that offers promising avenue for developing cutting-edge nanostructured materials, both in their pristine state and when subjected to various chemical structural modifications. Metal-organic frameworks, covalent hydrogen-bonded are examples of these emerging materials gained significant attention due unique properties, such as high crystallinity, intrinsic porosity, regularity, diverse functionality, design flexibility, outstanding stability. This review provides an overview the state-of-the-art on base-stable POFs, emphasizing distinct pros cons reticular framework nanoparticles compared other types nanocluster materials. Thereafter, highlights opportunity produce multifunctional tailoring meet specific application requirements. It is recommended this potential creating customized should be driving force behind future synthesis efforts tap full multifaceted material category.

Язык: Английский

Процитировано

23

Advanced hard carbon materials for practical applications of sodium-ion batteries developed by combined experimental, computational, and data analysis approaches DOI
Zongfu Sun, Huawei Liu, Wen Li

и другие.

Progress in Materials Science, Год журнала: 2024, Номер unknown, С. 101401 - 101401

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

8

Navigating the unknown with AI: multiobjective Bayesian optimization of non-noble acidic OER catalysts DOI Creative Commons
Ken J. Jenewein, Luca Torresi, Navid Haghmoradi

и другие.

Journal of Materials Chemistry A, Год журнала: 2023, Номер 12(5), С. 3072 - 3083

Опубликована: Дек. 13, 2023

This study highlighted the effectiveness of AI-driven multiobjective Bayesian optimization for electrocatalysis, accelerating search active and stable compositions acidic oxygen evolution reaction by 17x.

Язык: Английский

Процитировано

16

Efficient design and synthesis of an amorphous conjugated polymer network for a metal-free electrocatalyst of hydrogen evolution reaction DOI

Wakana Hamada,

Mafumi Hishida,

Ryuto Sugiura

и другие.

Journal of Materials Chemistry A, Год журнала: 2024, Номер 12(6), С. 3294 - 3303

Опубликована: Янв. 1, 2024

A performance predictor for metal-free electrocatalyst of hydrogen evolution reaction was constructed by machine learning on small data. Based the prediction, an amorphous conjugated polymer network designed to achieve high catalytic activity.

Язык: Английский

Процитировано

4

Accelerating materials research with a comprehensive data management tool: a case study on an electrochemical laboratory DOI Creative Commons
Nico C. Röttcher, Gun Deniz Akkoc, S.M. Finger

и другие.

Journal of Materials Chemistry A, Год журнала: 2024, Номер 12(7), С. 3933 - 3942

Опубликована: Янв. 1, 2024

Introduction of an SQL and Python-based tool for managing research data from acquisition to publication. The method enables FAIR-compatible management, minimizes user interaction, provides customizability diverse domains.

Язык: Английский

Процитировано

4

Decoding intrinsic features of carbons from their capacitive performance DOI
Shan Zhu,

Fengxiang Sun,

Kezhu Jiang

и другие.

Journal of Electroanalytical Chemistry, Год журнала: 2024, Номер 961, С. 118253 - 118253

Опубликована: Апрель 7, 2024

Язык: Английский

Процитировано

4

Spherical Ru/FeOx composite as a bifunctional electrocatalyst for overall water splitting in neutral media DOI
Xinqi Wang, Yuanyuan Cao, Lina Zhou

и другие.

Journal of Alloys and Compounds, Год журнала: 2024, Номер 1010, С. 177417 - 177417

Опубликована: Ноя. 6, 2024

Язык: Английский

Процитировано

3