A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.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
Tuning the structural, optoelectronic, and thermoelectric performance of cesium based double perovskite halide under hydrostatic pressure. [PDF]
Discov NanoJaved A +7 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.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
Ca<sub>3</sub>Co<sub>4</sub>O<sub>9</sub>-Based Planar Thermoelectric Gas Sensor with High Sensitivity Fabricated by Powder Aerosol Deposition for Application in Harsh Environments. [PDF]
Sensors (Basel)Streibl B +6 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.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
Flexible NiCr-NiSi Thin-Film Thermocouple Sensor for Temperature Monitoring of Telecommunication Equipment. [PDF]
Micromachines (Basel)Gao R, Zhou J.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.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
First-principles study of defect chemistry and thermoelectric performance of CaMg<sub>2</sub>Sb<sub>2</sub>. [PDF]
RSC AdvZhang S +7 more
europepmc +1 more source
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
Advanced Intelligent Discovery, EarlyView.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
Magnesium‐Retention Assisted Synthesis of High‐Performance Zintl Thermoelectrics
Angewandte Chemie, EarlyView.Mg volatilization and chemical instability during high‐temperature synthesis hinder the scalable fabrication of Mg‐based thermoelectrics. Here, a magnesium‐retention assisted synthesis (MRAS) strategy stabilizes Mg using a sacrificial Mg reservoir and an inert‐gas‐regulated melting environment.
Boxuan Hu +9 more
wiley +2 more sources