相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Effects of CVD growth parameters on global and local optical properties of MoS2 monolayers
Ana Senkic et al.
MATERIALS CHEMISTRY AND PHYSICS (2023)
Controlled Synthesis of Multicolor Carbon Dots Assisted by Machine Learning
Jiao Chen et al.
ADVANCED FUNCTIONAL MATERIALS (2023)
Machine Learning-Assisted Synthesis of Two-Dimensional Materials
Mingying Lu et al.
ACS APPLIED MATERIALS & INTERFACES (2023)
Machine learning guided hydrothermal synthesis of thermochromic VO2 nanoparticles
Yongxing Chen et al.
Ceramics International (2023)
Machine Learning Guided Synthesis of Flash Graphene
Jacob L. Beckham et al.
ADVANCED MATERIALS (2022)
Highly sensitive detection of multiple proteins from single cells by MoS2-FET biosensors
Junqing Wei et al.
TALANTA (2022)
Heteroscedastic sparse Gaussian process regression-based stochastic material model for plastic structural analysis
Baixi Chen et al.
SCIENTIFIC REPORTS (2022)
Using an Explainable Machine Learning Approach to Characterize Earth System Model Errors: Application of SHAP Analysis to Modeling Lightning Flash Occurrence
Sam J. Silva et al.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2022)
Review-Next Generation 2D Material Molybdenum Disulfide (MoS2): Properties, Applications and Challenges
Vydha Pradeep Kumar et al.
ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY (2022)
High-dimensional Bayesian optimization of 23 hyperparameters over 100 iterations for an attention-based network to predict materials property: A case study on CrabNet using Ax platform and SAASBO
Sterling G. Baird et al.
COMPUTATIONAL MATERIALS SCIENCE (2022)
Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques
Zaineb M. Alhakeem et al.
MATERIALS (2022)
Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV
Ghulab Nabi Ahmad et al.
IEEE ACCESS (2022)
Photothermal-assist enhanced high-performance self-powered photodetector with bioinspired temperature-autoregulation by passive radiative balance
Junlong Tian et al.
NANO ENERGY (2021)
Prospect of single and coupled heterojunction solar cells based on n-MoS2 and n-WS2
Maryam Alsadat Nikpay et al.
MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS (2021)
Benchmarking monolayer MoS2 and WS2 field-effect transistors
Amritanand Sebastian et al.
NATURE COMMUNICATIONS (2021)
Van der Waals heterojunction interface passivation using ZnS nanolayer and enhanced photovoltaic behavior of semitransparent ultrathin 2D-MoS2/3D-chalcogenide solar cells
Joo Hyung Park et al.
APPLIED SURFACE SCIENCE (2021)
Gaussian Process Regression for Materials and Molecules
Volker L. Deringer et al.
CHEMICAL REVIEWS (2021)
Machine learning-guided synthesis of advanced inorganic materials
Bijun Tang et al.
MATERIALS TODAY (2020)
Error assessment and optimal cross-validation approaches in machine learning applied to impurity diffusion
Hai-Jin Lu et al.
COMPUTATIONAL MATERIALS SCIENCE (2019)
Gaussian process regression-based forecasting model of dam deformation
Chaoning Lin et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries
Kailong Liu et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2019)
Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error
Frank Emmert-Streib et al.
MACHINE LEARNING AND KNOWLEDGE EXTRACTION (2019)
Gaussian process regression for tool wear prediction
Dongdong Kong et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
A library of atomically thin metal chalcogenides
Jiadong Zhou et al.
NATURE (2018)
Multi-objective Bayesian materials discovery: Application on the discovery of precipitation strengthened NiTi shape memory alloys through micromechanical modeling
Alexandros Solomou et al.
MATERIALS & DESIGN (2018)
Active learning for accelerated design of layered materials
Lindsay Bassman et al.
NPJ COMPUTATIONAL MATERIALS (2018)
Effective shape-controlled growth of monolayer MoS2 flakes by powder-based chemical vapor deposition
Sang Yoon Yang et al.
NANO RESEARCH (2017)
Effects of Synthesis Parameters on CVD Molybdenum Disulfide Growth
Gustavo A. Lara Saenz et al.
MRS ADVANCES (2016)
Layer-controlled CVD growth of large-area two-dimensional MoS2 films
Jaeho Jeon et al.
NANOSCALE (2015)
Grains and grain boundaries in highly crystalline monolayer molybdenum disulphide
Arend M. van der Zande et al.
NATURE MATERIALS (2013)
Electrostatic properties of few-layer MoS2 films
Guolin Hao et al.
AIP ADVANCES (2013)
Synthesis of Large-Area MoS2 Atomic Layers with Chemical Vapor Deposition
Yi-Hsien Lee et al.
ADVANCED MATERIALS (2012)
The indirect to direct band gap transition in multilayered MoS2 as predicted by screened hybrid density functional theory
Jason K. Ellis et al.
APPLIED PHYSICS LETTERS (2011)
Single-layer MoS2 transistors
B. Radisavljevic et al.
NATURE NANOTECHNOLOGY (2011)