Spin dependent thermoelectric transport in a multiterminal quantum dot hybrid including a superconductor and ferromagnets. [PDF]
Sonar V, Trocha P.
europepmc +1 more source
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
Study the characterization and thermoelectrical properties of the polyvinyl alcohol / Polyaniline polymer blend thick films. [PDF]
Morad MA +4 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
Fast Thermoelectric Responses from Unconventional Na-I Stoichiometry in Reduced Graphene Oxide Films. [PDF]
Xia X +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
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Enhanced Model for the Analysis of Thermoelectric Effects at Nanoscale: Onsager's Method and Liu's Technique in Comparison. [PDF]
Di Domenico M, Sellitto A.
europepmc +1 more source
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source

