国家/地区 China（3） Usa（3）
关键词 MACHINE LEARNING（8）
出版物 ACS APPLIED NANO MATERIALS（8）
出版时间 2021（3） 2022（2） 2023（2）
机构
作者

Crowd-Sourced Data and Analysis Tools for Advancing the Chemical Vapor Deposition of Graphene: Implications for Manufacturing

ACS APPLIED NANO MATERIALS

SCHILLER JA, TORO R, SHAH A, SURANA M, ZHANG KH, ROBERTSON M, MILLER K, CRUSE K, LIU K, SEONG B, SEOL C, FOSTER IT, BLAISZIK BJ, GALEWSKY B, ADAMS D, KATZ DS, FERREIRA P, ERTEKIN E, TAWFICK S

Epidermal Graphene Sensors and Machine Learning for Estimating Swallowed Volume

ACS APPLIED NANO MATERIALS

POLAT B, BECERRA LL, HSU PY, KAIPU V, MERCIER PP, CHENG CK, LIPOMI DJ

Data-Driven Design of High-Performance Graphene-Based Seawater Desalination Membranes

ACS APPLIED NANO MATERIALS

MENG K, NIU YT, ZHAO XY, ZHANG YN, ZHAO Y, YU XH, RONG J, HOU HY

Singlet Oxygen Photosensitization Using Graphene-Based Structures and Immobilized Dyes: A Review

ACS APPLIED NANO MATERIALS

TAMTAJI M, TYAGI A, YOU CY, GALLIGAN PR, LIU HW, LIU ZJ, KARIMI R, CAI YT, ROXAS AP, WONG HL, LUO ZT

Prediction of Graphene Oxide Functionalization Using Gradient Boosting: Implications for Material Chemical Composition Identification

ACS APPLIED NANO MATERIALS

ZHENG BW, GU GX

Hydrogenated Graphene with Tunable Poisson's Ratio Using Machine Learning: Implication for Wearable Devices and Strain Sensors

ACS APPLIED NANO MATERIALS

HO VH, NGUYEN CT, NGUYEN HD, OH HS, SHIN M, KIM SY

Machine Learning-Based Prediction of Mechanical Properties and Performance of Nickel-Graphene Nanocomposites Using Molecular Dynamics Simulation Data

ACS APPLIED NANO MATERIALS

JIN WY, PEI JY, XIE P, CHEN JC, ZHAO HY

Machine Learning Determination of the Twist Angle of Bilayer Graphene by Raman Spectroscopy: Implications for van der Waals Heterostructures

ACS APPLIED NANO MATERIALS

SOLISFERNANDEZ P, AGO H