Results 171 to 180 of about 776,841 (284)

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

open access: yesAdvanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang   +15 more
wiley   +1 more source

Role of Dentists in Prescribing Opioid Analgesics and Antibiotics: An Overview [PDF]

open access: yes, 2018
Ackerman   +99 more
core   +2 more sources

Insights on SEI Growth and Properties in Na‐Ion Batteries via Physically Driven Kinetic Monte Carlo Model

open access: yesAdvanced Energy Materials, EarlyView.
The novel kinetic Monte Carlo model presented here incorporates spatially‐ and time‐dependent electrical potential, which enables the precise study of the solid electrolyte interphase formation in Na‐ion batteries. The effects of electrolyte composition and charging conditions on the growth and behavior of the solid electrolyte interphase during the ...
Kie Hankins   +4 more
wiley   +1 more source

Shedding Light on Common Misinterpretations in Photocatalyst Characterization

open access: yesAdvanced Energy Materials, EarlyView.
For heterogeneous semiconductor‐based photocatalysts, Marschall et al. highlight common misconceptions in material synthesis, characterization, and performance evaluation, together with detailed explanations on how to avoid them. The guidelines thus presented can help to improve reporting of photocatalyst performance in environmental applications, such
Roland Marschall   +2 more
wiley   +1 more source

Mechanistic Considerations for Battery Charging Protocol Design

open access: yesAdvanced Energy Materials, EarlyView.
This review bridges practical fast‐charging protocols with fundamental mechanisms of SOC‐dependent structural and compositional changes in electrode materials, kinetic limitations such as polarization and inhomogeneity, and heat generation characteristics shaped by protocol design.
Wenlong Li   +13 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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