Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Generalized EIS Measurement Method in Li-Ion Batteries. [PDF]
Nogales JM +4 more
europepmc +1 more source
Synthesis of Bulk Superconducting LiNbO2 Crystals Through CaH2 Reduction
CaH2 reduction reconstructively transforms insulating LiNbO3 single crystals into superconducting bulk LiNbO2 with a critical temperature of Tc = 14.4 K. Scanning electron microscopy reveals large‐volume, high‐yield phase conversion. Magnetization measurements demonstrate a robust ∼ 77% Meissner shielding fraction, establishing bulk superconductivity ...
Ryan Paxson +19 more
wiley +1 more source
A one-minute resolution global horizontal irradiance dataset recorded in Malaysia for photovoltaic system modelling and validation. [PDF]
Siow CL, Hew CW, Ajami OMT, Tan RHG.
europepmc +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Design, Development, and Laboratory Validation of a Low-Cost Multi-Sensor System for Bridge Structural Health Monitoring with Scour-Related Environmental Sensing. [PDF]
Bidone M +4 more
europepmc +1 more source
Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching
By thinning the oxide layer, memristors pass from diode‐like and battery‐effect‐dominated behavior toward eventual short‐circuit failure. Within the intermediate 5–6 nm window, they reach a near‐ideal analog area‐type switching regime, featuring symmetric hysteresis, area‐dependent conductance, and continuous linear programming of HRS and LRS with ...
Cuo Wu +12 more
wiley +1 more source
Finite-Time Thermodynamics of Battery Discharging: Power-Efficiency Trade-Off and Optimization. [PDF]
Liu RH, Lin YQ, Ma YH.
europepmc +1 more source
Biomass DNA: An Emerging Building Block for Advanced Materials
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley +1 more source

