Results 191 to 200 of about 4,229,632 (303)

Process integration for emerging challenges: optimal allocation of antivirals under resource constraints. [PDF]

open access: yesClean Technol Environ Policy, 2020
Sy CL   +11 more
europepmc   +1 more source

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

open access: yesAdvanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni   +4 more
wiley   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

open access: yesAdvanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar   +9 more
wiley   +1 more source

Comparative Performance and Partial Load Cycling of Sodium‐Metal Chloride Battery Modules With Mixed‐Metal Fe,Zn and Ni,Fe Cells

open access: yesAdvanced Functional Materials, EarlyView.
Sustainable Na‐(Fe,Zn)Cl2 battery modules deliver discharge energies comparable to state‐of‐the‐art Na‐(Ni,Fe)Cl2 batteries through high active‐material utilization, although with lower power capability. Advanced electrochemical characterization reveals a distinct reaction mechanism and low resistance during Fe dechlorination.
Enea Svaluto‐Ferro   +10 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

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