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RESEARCH PAPER · Journal of the American Chemical Society · 2021

Machine Learning Driven Synthesis of Few-Layered WTe2 with Geometrical Control

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Machine Learning Driven Synthesis of Few-Layered WTe2 with Geometrical ControlOriginalCarbon nanotubes-reinforced preparation of flat MoS2 nanomaterials: Co-enhancement of acoustic exfoliation efficiency and dye removal capacity21Abnormal linear dichroism transition in two-dimensional PdPS10How lignin sticks to cellulose—insights from atomic force microscopy enhanced by machine-learning analysis and molecular dynamics simulations25Chemical vapor deposition of 2D materials: A review of modeling, simulation, and machine learning studies140Autonomous high-throughput computations in catalysis29Formation of a Two-Dimensional Electronic System in Laterally Assembled WTe Nanowires7Recent Developments in Chemical Vapor Deposition of 2D Magnetic Transition Metal Chalcogenides19Synthesis of 2D α‐GeTe Single Crystals and α‐GeTe/WSe2 Heterostructures with Enhanced Electronic Performance24Strategies for Controlled Growth of Transition Metal Dichalcogenides by Chemical Vapor Deposition for Integrated Electronics96Controllable Synthesis of Novel Two-Dimensional Nonlayered β-Bi2Te4O11 Flakes for Promising Optoelectronic Applications10Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?67Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation118Machine Learning-Assisted Synthesis of Two-Dimensional Materials72Structure modulation of two-dimensional transition metal chalcogenides: recent advances in methodology, mechanism and applications128Utilizing machine learning to expedite the fabrication and biological application of carbon dots14Liquid metal-assisted hydrothermal preparation of cobalt disulfide on the polymer tape surface for flexible sensor4Hydrogen-assisted growth of one-dimensional tellurium nanoribbons with unprecedented high mobility42Perforated Carbon Nanotube Film Assisted Growth of Uniform Monolayer MoS25Review: 2D material property characterizations by machine-learning-assisted microscopies16Magnetism of two-dimensional chromium tellurides39Laser-assisted synthesis of two-dimensional transition metal dichalcogenides: a mini review8Understanding palladium–tellurium cluster formation on WTe2: From a kinetically hindered distribution to thermodynamically controlled monodispersity4Phase/Interfacial-Engineered Two-Dimensional-Layered WSe2 Films by a Plasma-Assisted Selenization Process: Modulation of Oxygen Vacancies in Resistive Random-Access Memory9Machine-Learning-Assisted Optimization of a Single-Atom Coordination Environment for Accelerated Fenton Catalysis68Fabrication of p-type 2D single-crystalline transistor arrays with Fermi-level-tuned van der Waals semimetal electrodes68Machine learning assisted layer-controlled synthesis of MoS 225Reconfiguring nucleation for CVD growth of twisted bilayer MoS2 with a wide range of twist angles119When Machine Learning Meets 2D Materials: A Review156Self-Powered Broadband Photodetectors Based on Large-Scale Continuous Films of Weyl Semimetal WTe 214CVD Synthesis of Twisted Bilayer WS 2 with Tunable Second Harmonic Generation58Quantifying the thickness of WTe2 using atomic-resolution STEM simulations and supervised machine learning5Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies33Machine‐Learning‐Assisted Rational Design of Si─Rhodamine as Cathepsin‐pH‐Activated Probe for Accurate Fluorescence Navigation51Physical Strategies for Geometric Control of Transition Metal Dichalcogenide Atomic Layers by Chemical Vapor Deposition1Polarized Raman Study of First-Order Phonons in Self-Flux Grown Single-Crystalline WTe22Progress and prospects of Moiré superlattices in twisted TMD heterostructures181D/2D Heterostructures: Synthesis and Application in Photodetectors and Sensors11Controlled growth of high-quality SnSe nanoplates assisted by machine learning5AI-Driven Inverse Design of Materials: Past, Present, and Future78Realization and Inverse Design of Multifunctional Steerable Transflective Linear-to-Circular Polarization Converter Empowered by Machine Learning1Active Sites‐Enriched Hierarchical Weyl Semimetal WTe 2 Nanowire Arrays for Highly Efficient Hydrogen Evolution Reaction3Data-driven classification and prediction of all-inorganic Cs-Pb-Br perovskite crystal structures6Multi‐source data‐driven model to predict the deposition rate of CVD‐SiC coatings with improved accuracy and robustness3Chemical Vapor Deposition for the Fabrication of WTe2/h‐BN Heterostructures3Machine Learning-Assisted Optical Characterization and Growth Modulation of Two-Dimensional Materials3Data augmentation-assisted transfer learning for efficient monolayer recognition0Artificial Intelligence‐Driven Approaches in Semiconductor Research44Chemical Vapor Transport Synthesis and Ambient Stability of 1D WTe 2 van der Waals Crystals7Machine learning for 2D material–based devices13Advances in intelligent epitaxy of semiconductor materials1Single Te Nanoribbon for Disrupting Conventional Sensitivity‐Power Limits of Flexible Strain Sensors3Machine learning-assisted shape prediction for two-dimensional transition metal dichalcogenides growth1Salt-assisted synthesis of WTe2 contact electrodes for efficient MoS2-based hydrogen evolution reaction3DFT insights into the adsorption mechanisms of environmental gases on 2H-WTe₂ for potential sensing applications10Bubbles in 2D Materials: Formation Mechanisms, Impacts, and Removal Strategies for Next-Generation Electronic Devices3Synthesis of vdW-Layered TMDs and Their Heterostructures via Chemical Vapor Deposition0Contemporary Challenges in van der Waals 2D Semiconductors23Machine learning empowered surface growth of 2D materials: Synthesis, characterization and mechanism0Machine-learning assisted 2D field-effect transistors for intelligent biosensing and analysis2Scalable Growth of Quasi‐1D TiS 3 Nanoribbons for High‐Temperature Flexible Strain Sensor7Intrinsic non-linearity of Josephson junctions as an alternative origin of the missing first Shapiro step0Multilevel Artificial Intelligent Framework Accelerates Electrolytes Design for Aqueous Batteries1Multilevel Artificial Intelligent Framework Accelerates Electrolytes Design for Aqueous Batteries14Sample-Efficient Modeling and Optimization of High-Dimensional Semiconductor Processes Using Output-Augmented Gaussian Process Regression and Dynamic Bayesian Optimization1Machine Learning Guided Growth of Ultrathin 2D Fe 3 O 4 With a Single Magnetic Domain0Advanced synthesis and manufacturing integration of tellurium-based nanomaterials for electronics and energy devices0Leveraging large language models to address data scarcity in machine learning for graphene synthesis1Dimensionally and morphologically driven effects of nanomaterials on the enhancement of electroanalytical sensing performance: A review1

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