Results 131 to 140 of about 400 (179)
Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes
Advanced Energy Materials, EarlyView.In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran +7 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Aqueous lithium‐ion storage has been demonstrated using a hierarchically assembled hydrogenated borophene/cobalt‐nickel compound as a supercapattery electrode. Reducible hydrogenated borophene generates undercoordinated oxygen, which is redox‐active for lithiation and hydrogenation during the discharging process following the lithium hydroxide ...
Seunghwan Jo +10 more
wiley +1 more source
Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries
Advanced Energy Materials, EarlyView.Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li +6 more
wiley +1 more source
Torque‐Transmitting Architected Metamaterials for Flexible and Extendable Tubular Robotics
Advanced Intelligent Systems, EarlyView.Soft and continuum robots commonly rely on fluid, tendon, or rod‐based power transmissions, to control robotic form and actuation. This study presents an architected structure, based on patterned straight‐line mechanisms, that enables simultaneous bending, extending, and torsionally rigid (BETR) transmission.
Sawyer Thomas, Aman Garg, Jeffery Lipton
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source