Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …
traditional research paradigms in the era of artificial intelligence and automation. An …
In Situ and Emerging Transmission Electron Microscopy for Catalysis Research
Catalysts are the primary facilitator in many dynamic processes. Therefore, a thorough
understanding of these processes has vast implications for a myriad of energy systems. The …
understanding of these processes has vast implications for a myriad of energy systems. The …
Autonomous experimentation systems for materials development: A community perspective
Solutions to many of the world's problems depend upon materials research and
development. However, advanced materials can take decades to discover and decades …
development. However, advanced materials can take decades to discover and decades …
AI-driven framework for recognition of guava plant diseases through machine learning from DSLR camera sensor based high resolution imagery
Plant diseases can cause a considerable reduction in the quality and number of agricultural
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …
Time-resolved transmission electron microscopy for nanoscale chemical dynamics
The ability of transmission electron microscopy (TEM) to image a structure ranging from
millimetres to Ångströms has made it an indispensable component of the toolkit of modern …
millimetres to Ångströms has made it an indispensable component of the toolkit of modern …
Data augmentation and deep learning methods in sound classification: A systematic review
The aim of this systematic literature review (SLR) is to identify and critically evaluate current
research advancements with respect to small data and the use of data augmentation …
research advancements with respect to small data and the use of data augmentation …
YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment
Over the last few years, several research works have been performed to monitor fish in the
underwater environment aimed for marine research, understanding ocean geography, and …
underwater environment aimed for marine research, understanding ocean geography, and …
Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Automated image analysis for single-atom detection in catalytic materials by transmission electron microscopy
Single-atom catalytic sites may have existed in all supported transition metal catalysts since
their first application. Yet, interest in the design of single-atom heterogeneous catalysts …
their first application. Yet, interest in the design of single-atom heterogeneous catalysts …
Deep-Learning Aided Atomic-Scale Phase Segmentation toward Diagnosing Complex Oxide Cathodes for Lithium-Ion Batteries
Phase transformation─ a universal phenomenon in materials─ plays a key role in
determining their properties. Resolving complex phase domains in materials is critical to …
determining their properties. Resolving complex phase domains in materials is critical to …