Results 151 to 160 of about 3,605,560 (279)

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

open access: yesAdvanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Mitigating proton trapping in cubic perovskite oxides via ScO<sub>6</sub> octahedral networks. [PDF]

open access: yesNat Mater
Tsujikawa K   +8 more
europepmc   +1 more source

Patterning of Lead Halide Perovskite Device Stacks on CMOS Readout Using Selective Microfabrication Protocols

open access: yesAdvanced Materials, EarlyView.
We present a microfabrication and integration strategy for lead halide perovskite photodetectors on electronic readouts. Standard photolithography, aqueous processing, selective transparent electrode etching, and plasma‐assisted pixel isolation enable precise monolithic integration of patterned 400 × 400 perovskite microphotodetector arrays on a CMOS ...
Sergey Tsarev   +14 more
wiley   +1 more source

Self‐Regulating Sodium‐Ion Battery Materials: From Phase Reconstruction to Functional Activation

open access: yesAdvanced Materials, EarlyView.
Self‐regulating sodium‐ion batteries hinge on programmable phase behavior in layered oxides, interphases that renew without growth, and electrolytes that steer solvation and chemistry. This review distills mechanisms into design rules that span composition, site and entropy tuning, and self‐buffering anodes, linking operando evidence to choices and ...
Hong Gao   +10 more
wiley   +1 more source

Large enhancement of ferroelectric properties of perovskite oxides via nitrogen incorporation. [PDF]

open access: yesSci Adv
Wang T   +23 more
europepmc   +1 more source

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

Microwave-Driven Reduction Accelerates Oxygen Exchange in Perovskite Oxides. [PDF]

open access: yesACS Appl Mater Interfaces
Domínguez-Saldaña A   +11 more
europepmc   +1 more source

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