This article provides a comprehensive analysis of in situ and operando Transmission Electron Microscopy (TEM) techniques for real-time characterization of nanomaterial synthesis.
This article provides a comprehensive framework for researchers, scientists, and drug development professionals on integrating in situ Transmission Electron Microscopy (TEM) with ex situ characterization techniques.
This article explores the critical application of in situ Transmission Electron Microscopy (TEM) diffraction for validating phase transitions in nanomaterials, a key factor in the stability and efficacy of nanomedicines.
This article explores the cutting-edge field of in situ Liquid Cell Transmission Electron Microscopy (LPTEM), focusing on the pursuit of atomic-resolution imaging within liquid environments.
This article addresses the critical challenge of correlating nanoscale observations from in situ Transmission Electron Microscopy (TEM) with data from bulk characterization methods for researchers and drug development professionals.
This article explores the transformative methodology of in situ Transmission Electron Microscopy (TEM) for measuring the Seebeck coefficient and other thermoelectric properties at the nanoscale.
This article provides a comprehensive overview of in situ Transmission Electron Microscopy (TEM), a transformative technique enabling real-time, atomic-scale observation of nanomaterial dynamics under realistic microenvironmental conditions.
This article provides a comprehensive guide for researchers and drug development professionals on implementing active learning (AL) to overcome data scarcity in reaction optimization.
This article explores the transformative role of machine learning (ML), particularly regression models, in optimizing the photoluminescence quantum yield (PLQY) of advanced materials for biomedical and clinical applications.
The accurate prediction of stereoselectivity is crucial for developing chiral pharmaceuticals and agrochemicals, but traditional methods are often limited by scarce experimental data.