Results 181 to 190 of about 174,137,944 (233)

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

open access: yesAdvanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi   +6 more
wiley   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

open access: yesAdvanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho   +5 more
wiley   +1 more source

Quantitative assessment of the erosion and deposition effects of landslide-dam outburst flood, Eastern Himalaya. [PDF]

open access: yesSci Rep
Dong X   +10 more
europepmc   +1 more source

“Lithium‐Free” Anode Solid‐State Batteries Enabled by 3D Structured Miec Garnet

open access: yesAdvanced Energy Materials, EarlyView.
“Lithium‐free” anode solid‐state batteries can maximize energy density by eliminating excess lithium metal but are limited by unstable lithium nucleation and poor lithium reversibility at solid interfaces. A mixed ionic and electronic conducting garnet scaffold promotes uniform lithium deposition within a three‐dimensional porous framework at low ...
George V. Alexander   +6 more
wiley   +1 more source

Bond Energy Descriptors Enable Machine Learning With Limited Data: Design of Capping Agents for Thermoplastic Polyurethane Recycling

open access: yesAdvanced Intelligent Discovery, EarlyView.
Data scarcity is a critical bottleneck for machine learning in applied chemistry. We show that physics‐informed descriptors enable a simple linear model to predict the deblocking temperatures of capped diisocyanates to within 11 °C from just 19 measurements, demonstrating that embedding physical insight into descriptors, rather than relying on ...
Remsha Rafiq   +9 more
wiley   +1 more source

Nonnative Thiol and Aniline Methylation, Including Enantioselective Dithiol Desymmetrization, by Multicomponent Cobamide‐Dependent Methyltransferases Using Unactivated Methyl Donors

open access: yesAngewandte Chemie, EarlyView.
Mixed MtaABC/MtgABC methyltransferase systems were developed for non‐native thiol and aniline methylation using the unactivated methyl donors methanol and glycine betaine. The platform enabled site‐selective and enantioselective methylation with turnover number up to 6000, representing the first enantioselective non‐native catalysis by cobamide ...
Amardeep Kumar   +3 more
wiley   +2 more sources

Single‐Step Analog In‐Memory Matrix Computation in Three‐Dimensional Circuits

open access: yesAdvanced Intelligent Systems, EarlyView.
A wooden model illustrates a 3D memristive array designed for single‐step kernel convolutions. It shows how two‐dimensional input data are mapped into the 3D array and convolved in parallel with stored kernels. Color‐coded connection points represent programmed memory‐element values, with each color corresponding to a specific kernel weight.
Alireza Jaberi Rad   +8 more
wiley   +1 more source

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