Results 101 to 110 of about 2,134 (182)

Nano‐Heterostructured TiO2‐TiO‐TiN/MoO3‐x‐Mo2N Composite LIB Anode With Enhanced Li+ Storage via Glycine‐assisted Anodization and Cathodic Deposition

open access: yesAdvanced Energy Materials, EarlyView.
A scalable, binder‐ and additive‐free strategy combining glycine‐assisted anodization and cathodic deposition is developed to fabricate a nano‐heterostructured composite LIB anode directly on titanium. Benefiting from its fully electrochemically active thick architecture, the anode delivers an outstanding areal capacity of 2639 µAh cm−2, nearly ...
Peng Wang   +15 more
wiley   +1 more source

Mechanical control of cell fate decisions in the skin epidermis. [PDF]

open access: yesNat Commun
Sahu P   +5 more
europepmc   +1 more source

Chemomechanically Adaptive MXene–Si–Ag Dual‐Seed Interlayer Enabling Low‐Pressure Sulfide all‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Interfacial chemo‐mechanical instability limits stable operation of sulfide‐based all‐solid‐state batteries under low stack pressure. Here, a chemomechanically adaptive MXene–Si–Ag dual‐seed interlayer integrates immobile and mobile lithiophilic sites within a mechanically compliant MXene framework, regulating Li‐ion flux, stabilizing solid–solid ...
Youngjin Song   +7 more
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj   +2 more
wiley   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

open access: yesAdvanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang   +3 more
wiley   +1 more source

Prediction‐Guided Two‐Step Solid‐State Exploration of Unknown Pseudo‐Ternary Oxides

open access: yesAdvanced Intelligent Discovery, EarlyView.
Prediction‐guided selection combined with two‐step solid‐state exploration enables efficient search of unknown pseudo‐ternary oxides. Broad robotic slurry screening followed by manual single‐phase isolation leads to the discovery of a new oxide, Ba5SnV6O22, showing how data‐guided experiments connect unexplored composition regions to new materials ...
Hiroyuki Hayashi
wiley   +1 more source

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