Understanding processes in photon–phonon scattering, absorption, and chemical reactions in optical nanocavities is important for single-molecule sensors, single-photon emitters, and photocatalysis. However, the influence of electromagnetic fields, charge transfer, and...
Using in-situ atomic resolution HAADF-STEM imaging, the study provides direct experimental evidence that grain rotation in nanocrystalline materials is primarily driven by disconnection-mediated shear-coupled grain boundary (GB) migration, confirming a...
We introduce a neural network kinetics (NNK) scheme that predicts and simulates diffusion-induced chemical and structural evolution in complex concentrated chemical environments. The framework is grounded on efficient on-lattice structure and chemistry representation...
Machine learning (ML) models can be interpretable, providing new fundamental physical/chemical insights into materials systems. We developed interpretable ML models1 to investigate two very different materials systems: • Peptide “wires” experimentally shown to exhibit...
This paper reports: Redox-enabled pathway complexity in amino acid-functionalized perylene diimides (PDIs) and its consequence for the macroscopic hydrogel network. Chemical reduction and subsequent oxidation enable a kinetically trapped state of the micellar network,...
