Research Articles
Mastering FIB Sample Preparation for In Situ TEM Nanomaterial Characterization: A Guide from Foundations to Future Directions
This article provides a comprehensive guide to Focused Ion Beam (FIB) sample preparation for in situ Transmission Electron Microscopy (TEM), a powerful technique for real-time nanomaterial characterization.
In Situ TEM Heating Stages: Real-Time Nanomaterial Phase Evolution for Advanced Materials Design
This article explores the transformative role of in situ transmission electron microscopy (TEM) heating stages in characterizing the dynamic phase evolution of nanomaterials.
In Situ Liquid Cell TEM for Nanomaterial Synthesis: A Comprehensive Guide to Real-Time Visualization and Control
This article provides a comprehensive overview of in situ liquid cell transmission electron microscopy (LCTEM), a revolutionary technique enabling real-time, atomic-scale observation of nanomaterial synthesis in liquid environments.
Source Data Strategies for Chemical Transfer Learning: A Comparative Guide for Biomedical Research
Transfer learning is revolutionizing computational chemistry and drug discovery by overcoming the critical bottleneck of experimental data scarcity.
Human Intuition vs. Machine Learning: A New Benchmark for Optimizing Chemical Reactions in Drug Discovery
This article provides a comprehensive analysis for researchers and drug development professionals on benchmarking human expertise against machine learning (ML) in reaction optimization.
Batch vs. Flow Reactors: An AI and Machine Learning Optimization Guide for Biomedical Research
This article provides a comprehensive comparison of batch and flow reactor performance through the lens of modern machine learning (ML) optimization.
Beyond the Data Desert: Innovative AI and Machine Learning Strategies to Overcome Data Scarcity in Organic Synthesis
Data scarcity presents a significant bottleneck in the optimization of organic synthesis, particularly in specialized domains like pharmaceutical development.
Active Machine Learning for Organic Reaction Optimization: Strategies, Applications, and Future Directions
This article provides a comprehensive overview of active machine learning (ML) for optimizing organic reaction conditions, a critical task in pharmaceutical development and fine chemical engineering.
Beyond the Black Box: Using Machine Learning Feature Importance to Decode and Optimize Synthesis Parameters in Drug Development
This article provides a comprehensive guide for researchers and drug development professionals on applying machine learning (ML) feature importance techniques to explore and optimize chemical synthesis parameters.
Bridge Elements vs. Typical Elements: A Comparative Analysis of Chemical Properties for Advanced Material and Drug Design
This article provides a comprehensive comparative analysis of the chemical properties of bridge elements and typical elements, with a specific focus on implications for biomedical and clinical research.