How Portals Work
Learning Portal
Start here. Multi-level articles explain concepts from beginner to advanced.
Topic Survey
Go deeper. Research overviews with key papers, methods, and trends.
Research Directory
Explore further. Browse 27,000+ highly-cited papers by topic.
Learning Portals
Educational content at multiple reading levels (Beginner, Intermediate, Advanced, Research)
Machine Learning
Learning PortalNeural networks, deep learning, CNNs, GANs, reinforcement learning, and optimization algorithms. Articles explain each concept with analogies for beginners and equations for researchers.
Materials Science
Learning PortalNanomaterials, polymers, metals, ceramics, and composites. From atomic structure to real-world applications in energy, electronics, and medicine.
Topic Surveys
Research overviews with key papers, methodologies, metrics, and current trends
ML for Additive Manufacturing
Research SurveyAI-driven design optimization, process monitoring, defect detection, and quality control in 3D printing. Based on Hassan et al. (2024).
Lithium-Ion Battery Materials
Topic SurveyCathode and anode materials, electrolytes, solid-state batteries, and recycling technologies.
Perovskite Solar Cells
Topic SurveyNext-generation photovoltaics with 26%+ efficiency. Composition engineering, stability, and tandems.
Graphene & 2D Materials
Topic SurveyGraphene, TMDs, MXenes, and van der Waals heterostructures. Nobel Prize 2010.
Hydrogen Evolution Catalysis
Topic SurveyGreen hydrogen via electrolysis. Noble metals, TMDs, phosphides, single-atom catalysts.
Metal-Organic Frameworks
Topic SurveyPorous crystalline materials with record surface areas for gas storage, catalysis, and separation.
ML for 3D Printing Materials
AM+ML SurveyML for material selection, property prediction, and process-structure-property relationships in metals, polymers, and ceramics.
Polymer Nanocomposites in AM
AM+ML SurveyML for nanocomposite feedstock development: CNT, graphene, nanoclay dispersion and property enhancement.
ML for MOF 3D Printing
AM+ML SurveyML accelerates MOF discovery (100K+ structures) and guides additive manufacturing of porous functional materials.
Thermal Conductivity in AM
AM+ML SurveyML for thermal property prediction, process physics (melt pool), heat transfer modeling, and thermal management design.
Biomedical Scaffolds in AM
AM+ML SurveyML for bioprinting, scaffold design (TPMS), cell viability prediction, and personalized implant optimization.
Reinforcement Learning for AM
AM+ML SurveyRL for adaptive process control, scan path optimization, real-time parameter adjustment using DQN/PPO/SAC.
Image Segmentation for AM
AM+ML SurveySemantic segmentation for defect detection, microstructure analysis, melt pool monitoring using U-Net, Mask R-CNN.
High Entropy Alloys in AM
AM+ML SurveyML for HEA composition design, phase prediction, LPBF/DED processing optimization for CoCrFeNi systems.
Deep Learning for AM
AM+ML SurveyCNN, GAN, VAE, PINN, Transformer architectures for AM process monitoring, design generation, and simulation.
Physics-Informed Neural Networks
AM+ML SurveyEmbedding physical laws into neural networks for thermal simulation, melt pool physics, and residual stress prediction.
Neural Radiance Fields
AM+ML Survey3D reconstruction and novel view synthesis for AM inspection, CT integration, and digital twin visualization.
Transformers and Attention
AM+ML SurveySelf-attention architectures for time series analysis, process monitoring, and G-code sequence modeling.
Multi-Modal Learning
AM+ML SurveyFusing heterogeneous sensor data (thermal, acoustic, optical) for comprehensive AM process understanding.
Graph Neural Networks
AM+ML SurveyLearning on mesh and lattice structures for topology optimization, FEM surrogates, and design generation.
FDM Continuous-Fiber Composites
AM SurveyFDM mechanisms, fiber types (carbon, glass, natural), matrix materials, and mechanical properties for 3D printed composites.
Research Directory
Browse 27,336 highly-cited capstone papers (250+ citations, 2018-2024)
Machine Learning
Research DirectoryDeep learning architectures, regression, object detection, image segmentation, time series, and more.
Materials Engineering
Research DirectoryEnergy storage, solar cells, nanomaterials, composites, catalysis, and biomedical materials.