Size‐Distribution Control of Exfoliated Nanosheets Assisted by Machine Learning: Small‐Data‐Driven Materials Science Using Sparse Modeling-Reference-Cited by-同舟云学术

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Size‐Distribution Control of Exfoliated Nanosheets Assisted by Machine Learning: Small‐Data‐Driven Materials Science Using Sparse Modeling

Published:2021-09-06 Issue:10 Volume:4 Page:2100158
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Adv. Theory Simul.

Author:

Haraguchi Yuri¹^ORCID,Igarashi Yasuhiko²³,Imai Hiroaki¹,Oaki Yuya¹³

Affiliation:

1. Department of Applied Chemistry Faculty of Science and Technology Keio University 3‐14‐1 Hiyoshi Kohoku‐ku Yokohama 223–8522 Japan

2. Faculty of Engineering Information and Systems University of Tsukuba 1‐1‐1 Tennodai Tsukuba 305–8573 Japan

3. JST PRESTO 4‐1‐8 Honcho Kawaguchi Saitama 332‐0012 Japan

Funder

Precursory Research for Embryonic Science and Technology

Publisher

Wiley

Subject

Multidisciplinary,Modelling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202100158

Reference64 articles.

1. Two-Dimensional Dielectric Nanosheets: Novel Nanoelectronics From Nanocrystal Building Blocks

2. Liquid Exfoliation of Layered Materials

3. Graphene-based macroscopic assemblies and architectures: an emerging material system

4. Two-Dimensional Oxide and Hydroxide Nanosheets: Controllable High-Quality Exfoliation, Molecular Assembly, and Exploration of Functionality

5. Synthesis, Properties, and Applications of Transition Metal-Doped Layered Transition Metal Dichalcogenides

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