Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Superprotonic Conduction in Donor Co‐Doped Perovskites
Ceramic proton conductors are promising materials for various applications such as fuel cells. Here, we report superprotonic conduction of BaSc0.8Mo0.1W0.1O2.8 created by donor Mo/W co‐doping into BaScO2.5 (e.g., 10−2 S cm−1 at 193 °C). The high proton conductivity is attributed to high carrier concentration and mobility.
Kensei Umeda +3 more
wiley +2 more sources
Interactive Effects of Precipitation and Nitrogen on Soil Microbial Communities in a Desert Ecosystem. [PDF]
Dong Q +6 more
europepmc +1 more source
Seed Predation on Oil-Polluted and Unpolluted Vachellia (Acacia) Trees in a Hyper-Arid Desert Ecosystem. [PDF]
Ferrante M +4 more
europepmc +1 more source
A dataset of carbon and water fluxes in the extremely arid desert ecosystem in Guazhou County, Gansu Province (2019–2022) [PDF]
Ying Wang +8 more
openalex +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Impact of seasonal changes on root-associated microbial communities among phreatophytes of three basins in desert ecosystem. [PDF]
Zhang Y +6 more
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Contrasting demographic processes underlie uphill shifts in a desert ecosystem. [PDF]
Skikne S +4 more
europepmc +1 more source
No evidence of resource limitation to aboveground growth of blue grama (Bouteloua gracilis) on 1 ky-old semi-arid substrate [PDF]
Coble, Ashley A, Hart, Stephen C
core +1 more source

