A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Development of n-type ZnAlInO Semiconductor Materials for Thermoelectric Generators in Aerospace Applications. [PDF]
Kilinc E +4 more
europepmc +1 more source
p-Type PVA/MWCNT-Sb2Te3 Composites for Application in Different Types of Flexible Thermoelectric Generators in Combination with n-Type PVA/MWCNT-Bi2Se3 Composites. [PDF]
Andzane J +8 more
europepmc +1 more source
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
Impact of Air Temperature and Humidity on Performance of Heat-Source-Free Water-Floating Single-Walled Carbon Nanotube Thermoelectric Generators for IoT Sensors. [PDF]
Nakazawa Y +4 more
europepmc +1 more source
Leaf-Inspired Flexible Thermoelectric Generators with High Temperature Difference Utilization Ratio and Output Power in Ambient Air. [PDF]
Zhou Q +9 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Robust bendable thermoelectric generators enabled by elasticity strengthening. [PDF]
Ding W +8 more
europepmc +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Radical‐Mediated Dispersion Breaks Aggregation Limits in Carbon Thermoelectrics
We report a rationally designed small molecule (OTN) that effectively disperses SWCNTs via π–π and radical‐radical interactions, yielding hybrid films with a record power factor of 30.1 µW cm−1 K−2 and excellent flexibility. A nine‐leg device achieves a record normalized power density of 0.653 µW cm−2 K−2, setting a new benchmark for carbon‐based ...
Shanshan Zhou +9 more
wiley +2 more sources

