Results 191 to 200 of about 122,091 (261)

Bio‐Inspired Mechanical Amplification Block on Implantable Tactile Sensors

open access: yesAdvanced Electronic Materials, EarlyView.
 . ABSTRACT Implantable strain sensors offer opportunities for continuous biomechanical monitoring, but their performance deteriorates severely once embedded in soft tissue due to mechanical shielding that suppresses strain transmission to the sensing layer.
Sungbin Choi   +5 more
wiley   +1 more source

Quantifying effects of the European Health Data Space on the app ecosystem and data access. [PDF]

open access: yesNPJ Digit Med
Brückner S   +5 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

open access: yesAdvanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan   +12 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Resisting epistemic loss in AI image generation. [PDF]

open access: yesPatterns (N Y)
Safir AH, Blackwell AF, Debnath R.
europepmc   +1 more source

Accelerated Oxygen Evolution Kinetics in Layered Double Perovskites via Hydroxide Surface Engineering for Anion Exchange Membrane Water Electrolysis

open access: yesAdvanced Energy Materials, EarlyView.
Our work showcases an innovative approach to address fundamental challenge in AEMWE system by constructing NiFe(OH)x/PBSCF heterostructure via scalable and conformal surface engineering process. Electrical conductivity gradient in the heterostructure increases the OER kinetics by promoting charge transfer, while balancing cation dissolution and re ...
Ki‐Yong Yoon   +12 more
wiley   +1 more source

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