Self-driving laboratories for chemistry and materials science
Self-driving laboratories (SDLs) promise an accelerated application of the scientific method.
Through the automation of experimental workflows, along with autonomous experimental …
Through the automation of experimental workflows, along with autonomous experimental …
Electrochemical imaging of interfaces in energy storage via scanning probe methods: techniques, applications, and prospects
Develo** a deeper understanding of dynamic chemical, electronic, and morphological
changes at interfaces is key to solving practical issues in electrochemical energy storage …
changes at interfaces is key to solving practical issues in electrochemical energy storage …
Bayesian conavigation: Dynamic designing of the material digital twins via active learning
Scientific advancement is universally based on the dynamic interplay between theoretical
insights, modeling, and experimental discoveries. However, this feedback loop is often slow …
insights, modeling, and experimental discoveries. However, this feedback loop is often slow …
AI for dielectric capacitors
Dielectric capacitors, characterized by ultra-high power densities, have been widely used in
Internet of Everything terminals and vigorously developed to improve their energy storage …
Internet of Everything terminals and vigorously developed to improve their energy storage …
Explainability and human intervention in autonomous scanning probe microscopy
The broad adoption of machine learning (ML)-based autonomous experiments (AEs) in
material characterization and synthesis requires strategies development for understanding …
material characterization and synthesis requires strategies development for understanding …
Accelerating the Design of Multishell Upconverting Nanoparticles through Bayesian Optimization
The photon upconverting properties of lanthanide-doped nanoparticles drive their
applications in imaging, optoelectronics, and additive manufacturing. To maximize their …
applications in imaging, optoelectronics, and additive manufacturing. To maximize their …
Physics-driven discovery and bandgap engineering of hybrid perovskites
The unique aspect of hybrid perovskites is their tunability, allowing the engineering of the
bandgap via substitution. From the application viewpoint, this allows creation of tandem cells …
bandgap via substitution. From the application viewpoint, this allows creation of tandem cells …
AEcroscopy: A Software–Hardware Framework Empowering Microscopy Toward Automated and Autonomous Experimentation
Microscopy has been pivotal in improving the understanding of structure‐function
relationships at the nanoscale and is by now ubiquitous in most characterization labs …
relationships at the nanoscale and is by now ubiquitous in most characterization labs …
Tutorial on In Situ and Operando (Scanning) Transmission Electron Microscopy for Analysis of Nanoscale Structure–Property Relationships
In situ and operando (scanning) transmission electron microscopy [(S) TEM] is a powerful
characterization technique that uses imaging, diffraction, and spectroscopy to gain nano-to …
characterization technique that uses imaging, diffraction, and spectroscopy to gain nano-to …
Designing workflows for materials characterization
Experimental science is enabled by the combination of synthesis, imaging, and functional
characterization organized into evolving discovery loop. Synthesis of new material is …
characterization organized into evolving discovery loop. Synthesis of new material is …