Results 121 to 130 of about 385 (164)
Advanced Energy Materials, EarlyView.A selective surface engineering strategy is presented for zinc metal powder (ZnMP) anodes in aqueous zinc‐ion batteries. Trifluoroacetic acid treatment enriches the exposure of (002) planes, forming a stepped hexagonal morphology that suppresses hydrogen evolution and dendrite growth.
Ye‐Won Kim +12 more
wiley +1 more source
Lithium‐Ion Transport in Carbon Fibers for Structural Batteries
Advanced Energy and Sustainability Research, EarlyView.Structural batteries promise to transform energy storage by uniting load‐bearing strength with electrochemical functionality. This study uncovers the lithium transport mechanisms of carbon fiber anodes, revealing how coatings, fiber architecture, and electrolyte environment dictate performance.
Richa Chaudhary +3 more
wiley +1 more source
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, 2018 Андрей Александрович Черненко
openalex +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
Programmable Microwaveable Chemistry in the Chemputer
Angewandte Chemie, EarlyView.The Chemputer integrates complementary microwave modules under χDL control, enabling fully automated syntheses of O‐alkylation products, Suzuki–Miyaura cross‐couplings, ring‐closing metathesis, and peptide sequences via solid‐phase methods. This modular, programmable platform delivers flexible and scalable microwave‐assisted workflows, broadening ...
Jacopo Zero +5 more
wiley +2 more sources
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
AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry
Angewandte Chemie, EarlyView.AIMNet2‐NSE enables accurate modeling of open‐shell radical chemistry through neural spin‐charge equilibration (NSE). This machine learning interatomic potential predicts radical reaction energies, barriers, and spin‐crossing events with near‐DFT accuracy while offering five orders of magnitude computational speedup, making high‐throughput exploration ...
Bhupalee Kalita +7 more
wiley +2 more sources