Demonstrated an automated materials multifunctional characterization platform with computer-centered experiments using real-time data fitting and modeling response.
Application of an electrical stimulation training protocol to a phospholipid droplet interface bilayer (DIB) results in persistent synaptic plasticity in the form of long-term potentiation (LTP), an important component of learning and memory in the
A novel time-domain quantum electronic dynamics method was developed to evaluate broad-band momentum-resolved cross-sections for electronic excitations of nanomaterials due to inelastic scattering.
Competition among exchange interactions is able to induce novel spin correlations on a bipartite lattice without geometrical frustration.
Understanding the reaction mechanisms of dehydrogenative Caryl–Caryl coupling is the key to directed formation of p-extended polycyclic aromatic hydrocarbons.
New materials can now be routinely imaged at atomic resolution with such high throughput in aberration-corrected scanning transmission electron microscopy that automatic methods for detecting
Antisite defects were selectively incorporated in monolayer WS2 during its growth by regulating W diffusion in Au substrates, as predicted by first principles calculations.
Metal Halide Perovskites (MHPs) offer promise for applications in PVs and LEDs due to high device performance and low fabrication cost.
Domain dynamics in polycrystalline materials are explored using a workflow combining deep learning-based segmentation of domain structures with non-linear dimensionality reduction using multilayer rotationally invariant autoencoders (rVAE).
Scientists demonstrated control over room temperature magnetism in a van der Waals magnet by tuning the crystal chemistry.