Cross phenomena, representing responses of a system to external stimuli, are ubiquitous
from quantum to macro scales. The Onsager theorem is often used to describe them, stating …

Artificial Intelligence (AI) is leading the charge in revolutionizing research methodologies
within the field of latent heat storage (LHS) by using phase change materials (PCMs) and …

Vanadium dioxide (VO 2) is a promising material for energy-saving smart windows due to its
reversible metal-to-insulator transition near room temperature, concomitantly with a …

Abstract Machine learning-aided alloy design has recently attracted broad interest among
the materials science community. However, the prediction accuracy of general machine …

The CALPHAD system of fundamental phase-level databases, now known as the Materials
Genome, has enabled a mature technology of computational materials design and …

The Open Databases Integration for Materials Design (OPTIMADE) application
programming interface (API) empowers users with holistic access to a growing federation of …

Electrode material is an obstacle to the application of molten salt electrolysis in Ce recovery.
Liquid Ga is a potential candidate for the cathode, but the corresponding reaction process …

In the present paper, we introduce a new neural network-based tool for the prediction of
formation energies of atomic structures based on elemental and structural features of …

The exponentially large compositional space of high entropy alloys (HEAs) offers more
possibilities for designing alloys with desired properties. However, it also poses challenges …

Abstract Structure-informed materials informatics is a rapidly evolving discipline of materials
science relying on the featurization of atomic structures or configurations to construct vector …