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RESEARCH PAPER · Advanced Materials · 2022

Artificial Intelligence and Advanced Materials

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Artificial Intelligence and Advanced MaterialsOriginalFailure, Uncertainty, and Risk in Materials AI — How Negative Outcomes Are Handled Across the Literature: A Review Study0The Application of Decision Tree Method for Data Mining1Conceptual Foundations for Value-Sensitive Design of Materials AI Systems0Networks of random lasers: current perspective and future challenges [Invited]14Target‐Driven Design of Deep‐UV Nonlinear Optical Materials via Interpretable Machine Learning125Charge‐Mediated Copper‐Iodide‐Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy6Review of Emerging Atomically Precise Composite Site‐Based Electrocatalysts31Review on the thermal property enhancement of inorganic salt hydrate phase change materials158Boron-induced microstructural manipulation of titanium and titanium alloys in additive manufacturing34Communicating Supraparticles to Enable Perceptual, Information‐Providing Matter11MatGPT: A Vane of Materials Informatics from Past, Present, to Future74Laterally gated ferroelectric field effect transistor (LG-FeFET) using α-In2Se3 for stacked in-memory computing array45Deep Learning in Computational Design Synthesis: A Comprehensive Review22Analysis of Particle Size in Composite Materials Using Image Processing7Artificial Intelligence in Healthcare: A Fusion of Technologies3Artificial intelligence-enabled optimization of battery-grade lithium carbonate production4Machine learning-assisted high-throughput screening of transparent organic light-emitting diode anode materials17Rare-earth upconversion luminescence and its applications: from molecular to nano and micro scales4Spiking Neural Networks for Scalable Visual Place Recognition1What Counts as Knowledge in AI-Driven Materials Science? A Philosophical and Practical Reframing0Nonvolatile resistive switching memory behavior of the TiOx-based memristor16Neuromorphic Nanoionics for Human–Machine Interaction: From Materials to Applications73Analysis and prospects of automobile intelligent assisted driving characteristics based on FPGA technology2Light-Induced Artificial Synapse Integrated With AlGaN Quantum Well DUV Source for Neuromorphic Computing4Topological Quantum Switching Enabled Neuroelectronic Synaptic Modulators for Brain Computer Interface9A perspective on deep-ultraviolet nonlinear optical materials14Machine Learning Aided Design and Optimization of Thermal Metamaterials195Uncovering Zeolitic Imidazolate Frameworks through Digitization of Chemical Insights1Reconfigurable Two-dimensional Floating Gate Field-effect Transistors for Highly Integrated In-memory Computing0Precise Capture and Dynamic Release of Circulating Liver Cancer Cells with Dual‐Histidine‐Based Cell Imprinted Hydrogels27Glass waste circular economy - Advancing to high-value glass sheets recovery using industry 4.0 and 5.0 technologies76Using Deep Learning and Swarm Intelligence to Achieve Personalized English-Speaking Education3In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back78The recent advances in the approach of artificial intelligence (AI) towards drug discovery31Data-Driven Weather Forecasting and Climate Modeling from the Perspective of Development46A photonics perspective on computing with physical substrates19Low‐Power Charge Trap Flash Memory with MoS 2 Channel for High‐Density In‐Memory Computing15Research integrity in the era of artificial intelligence: Challenges and responses107Recent advances of artificial intelligence in quantitative analysis of food quality and safety indicators: A review45Deep learning for symmetry classification using sparse 3D electron density data for inorganic compounds5Barrier Polarity Reversal Based on Interfacial Modification of Au Nanoparticles for Nonvolatile Multilevel Memory and Optoelectronic Synapses122D Material Sensors with Light Excitation25Ion-migration-induced synaptic plasticity in high ion-storable fluorine graphdiyne for information processing4Interpretable Surrogate Learning for Electronic Material Generation11Multi-objective design of Ni-B-Al master alloy by adaptive machine learning-driven aluminothermic reduction experiment3Nanomaterials for Flexible Neuromorphics105Automatic Generation of Contrast Maps in Terms of van der Waals Material Properties in Bimodal AFM4Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery9AI-Assisted 3D Modeling Strategy for Microstructure-Based Functional Surfaces Using ChatGPT and Random Forest3The Structure‐Mechanics Relationship of Bamboo‐Epidermis and Inspired Composite Design by Artificial Intelligence10AI-driven advances in metal–organic frameworks: from data to design and applications47Cage-based hydrogen-bonded organic frameworks: a systematic review1Carbon dots meet artificial intelligence: applications in biomedical engineering16Density-aware active learning for materials discovery: a case study on functionalized nanoporous materials3Recent progress of two-dimensional photothermal nanomaterials in personal thermal management9From Experimental Values to Predictive Models: Machine Learning‐Driven Energy Level Determination in Organic Semiconductors3Artificial intelligence artificial muscle of dielectric elastomers20Demonstration of NiCo as an Alternative Metal for Post-Cu Interconnects4How Do Organic Batteries Work? Theoretical and Design Principles of Electrode Materials for All‐Organic Batteries462D Novel Antiferroelectric Materials for Neuromorphic Computing0Introducing Smart Materials and Devices0Machine‐Learning‐Enhanced Trial‐and‐Error for Efficient Optimization of Rubber Composites29Automated Discovery of Therapeutic Biomaterial for Renally Impaired Hyperuricemia Patients by Natural Language Processing and Machine Learning0The Role of Artificial Intelligence and Machine Learning in Modern Healthcare and Technology0Porous Carbon Materials: from Traditional Synthesis, Machine Learning‐Assisted Design, to Their Applications in Advanced Energy Storage and Conversion93Emerging 2D Material‐Based Synaptic Devices: Principles, Mechanisms, Improvements, and Applications27Recent Advances in Molybdenum Disulfide (MoS 2 ) and MXene‐based Heterostructures for Photovoltaic and Water Splitting Applications: A Review31Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems46Mechanically robust polyacrylamide/gelatin ionic hydrogels reinforced by sodium alginate for wearable device applications62High Aspect Ratio Silicon Nanohole Arrays via Electric-Field-Incorporated Metal-Assisted Chemical Etching10Solution-based manufacturing of 2D materials for memristive device applications14The Impact of Digital Safety Competence on Cognitive Competence, AI Self-Efficacy, and Character11Design of Chemical Sensors Based on Organic Transistors for Monitoring Food Safety and Quality0Machine learning perspective: Revealing deep mechanisms and new advances in adsorption and catalysis of gaseous molecules18Artificial Intelligence‐Driven Approaches in Semiconductor Research44Bistable ZTO-based neuromorphic memtransistors enabling mode-tunable synaptic diversity and their applications in neuromorphic computing1Advancing Intelligent Neuromorphic Computing: Recent Progress in All-Optical-Controlled Artificial Synaptic Devices44Design principles of metastable nanomaterials: A comprehensive review0Predicting the dielectric properties of dielectric films in chip by machine learning methods0Reconfigurable single-walled carbon nanotube ferroelectric field-effect transistors14Application of Artificial Intelligence Methods in the Analysis of the Cyclic Durability of Superconducting Fault Current Limiters Used in Smart Power Systems1Decahedron-derived five-fold twin noble metal nanocrystals: Solution-phase synthesis, growth mechanism, and applications4Bridging Domains: Advances in Explainable, Automated, and Privacy-Preserving AI for Computer Science and Cybersecurity14Probiotic‐Based Materials as Living Therapeutics19Leveraging Artificial Neural Networks to Predict Igneous Rock Strength Parameters from Petrological Contents1Skin Relevant Biomaterials from Wound Healing, Medical Aesthetics, Flexible Electronics to Artificial Intelligence and Beyond35Interpretable Machine Learning for Battery Prognosis: Retrospect and Prospect20Phase Smoothing for Mutual Coupling Mitigation in Multifunctional Metasurfaces Designed with Diffractive Neural Networks4Artificial Intelligence (AI)-Augmented “Living” Meta-Analyses toward Critical Thinking Engagement in Chemical Education and Research: A Case Study of Nanocellulose-Stabilized Pickering Emulsions3Interactions Enhance Ramp Reversal Memory in Locally Phase Separated Materials0Neuromorphic iontronic devices based on soft ionic conductors26A critical review on electronic materials properties and multifunctional applications5Adaptive Fractal Representation Learning for Data-Efficient Materials Property Prediction0Data-driven design strategies for chemically stabilizing cathode–coating interfaces employing interpretable machine learning0Recent advances in hemoperfusion adsorbents: from material innovations to emerging application systems0Tough and fatigue-resistant hydrophobic association-based hydrogels reinforced by polydopamine-modified carbon nanotubes for wearable strain sensors0Artificial Intelligence at Seventy: From Symbolic Aspirations to Emergent Realities1Agentic material science5Artificial Intelligence‐Guided Design of Fluorescent Probes for Biomedical Applications8Artificial intelligence-enabled chiral functional materials design4HfO 2 -based memristive synapses with asymmetrically extended p-n heterointerfaces for highly energy-efficient neuromorphic hardware4Low-Temperature One-Pot Fabrication of a Dual-Ion Conductive Hydrogel for Biological Monitoring2A highly sensitive multi-resonant metamaterial absorber for wideband hydrocarbon and gas detection2Recent Advances in Artificial Intelligence in Organic Electronic Research1Photo-synapses based on single-crystalline VO2 films for in-sensor information processing1Fractal Multiscale Geometric Learning for Materials Property Prediction via Cross-Attention Fusion0Multi-model framework for intelligent research and development of super-hydrophilic coatings0Microwave Sintered for Aluminum-Based Advanced Composite Materials: A Review0Artificial Intelligence and Digital Communication0Graph Neural Network-Assisted Machine Learning for High-Throughput Buried Interfacial Materials Screening in Antisolvent-Free Perovskite Solar Cells0From Experiment‐Driven to Theory‐ and Data‐Driven: A Computational Paradigm Shift in High‐Entropy Electrocatalyst Design0Computational modeling of prefrontal-amygdala circuits links functional connectivity alterations to circuit-level mechanisms in major depression0Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization0Discovery of High-Performance Low-k Interconnect Materials via Multi-Target Machine Learning Model0Research Advances Towards Machine Learning‐Driven Fabrication of Electrospun Films With Excellent Performances0Organosilica active framework-induced copper defect engineering with high-efficiency catalysis for chronic periodontitis treatment0Orthogonal Reversible Chemistries Affording Multistate Photoswitching in Polymers for Recyclable Intelligent Material Systems0

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