Tech Xplore on MSN
AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
Morning Overview on MSN
AI model predicts new carbon crystals, including one harder than diamond
Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...
This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...
(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...
A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...
A general-purpose LLM is fine-tuned with inorganic material knowledge datasets and used to predict the synthesizability and precursor compounds of hypothetical inorganic materials. Seoul National ...
Newly discovered materials can be used to make better solar cells, batteries, computer chips, and more. From EV batteries to solar cells to microchips, new materials can supercharge technological ...
Overview of class Key models of electron and ion vacancy transport in hard and soft, crystalline and non-crystalline materials, including hopping, tunneling, polaronic transport and mixed conduction.
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