Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …

Transmission electron microscopy is a pivotal instrument in materials and biological
sciences due to its ability to provide local structural and spectroscopic information on a wide …

Electron microscopy, a sub-field of microanalysis, is critical to many fields of research. The
widespread use of electron microscopy for imaging molecules and materials has had an …

Advanced electron microscopy techniques, including scanning electron microscopes (SEM),
scanning transmission electron microscopes (STEM), and transmission electron …

Direct in situ characterizations of the solid–fluid interface on the nanoscale can provide
profound implications for addressing bulk-scale enigmas. The advent of closed-cell …

Accurate and efficient tools for calculating the ground state properties of interacting quantum
systems are essential in the design of nanoelectronic devices. The exact diagonalization …

For two-dimensional (2D) materials, the exact thickness of the material often dictates its
physical and chemical properties. The 2D quantum material WTe 2 possesses properties …

Nanoscience and nanotechnologies are of immense importance across many fields of
science and for numerous practical applications. In this context, scanning transmission …

Scanning Transmission Electron Microscopy (STEM) is a well-established method for
looking into the physical properties of complex nanostructures. However, a major drawback …

Cryo-EM has been a powerful tool in unraveling the protein structures and their functions,
providing unprecedented insights into the building blocks of life. In this thesis, studies have …