Current progress in two-dimensional (2D) materials explorations leads to constant specie
enrichments of possible advanced materials down to two dimensions. The metal …

The great tunability of the properties of halide perovskites presents new opportunities for
optoelectronic applications as well as significant challenges associated with exploring …

All-solid-state batteries (ASSBs) have attracted considerable attention because of their
higher energy density and stability than conventional lithium-ion batteries (LIBs). For the …

Li-ion solid-state electrolytes (SSEs) have great potential, but their commercialization is
limited due to interfacial contact stability issues and the formation and growth of dendrites. In …

The strength of interaction between a metal and oxygen and/or carbon is a crucial factor for
catalytic performance, materials stability, and other important applications. While these are …

The advent of π-stacked layered metal–organic frameworks (MOFs), which offer electrical
conductivity on top of permanent porosity and high surface area, opened up new horizons …

Symbolic regression (SR), exploring mathematical expressions from a given data set to
construct an interpretable model, emerges as a powerful computational technique with the …

Recent years have witnessed a continuous discovering of new thermoelectric materials
which has experienced a paradigm shift from try-and-error efforts to experience-based …

High-entropy materials (HEMs) have recently emerged as a significant category of materials,
offering highly tunable properties. However, the scarcity of HEM data in existing density …

In recent years, machine-learning methods have profoundly impacted research in the
interdisciplinary fields of physics. However, most machine-learning models lack …