Results 131 to 140 of about 101,459 (235)
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source
Jordanian English language educators' perceived readiness for virtual learning environment. [PDF]
Madanat H +5 more
europepmc +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
A Multimodal Haptic Feedback Interface with Thin‐Film Compliant Mechanism
Multimodal haptic devices can trigger different mechanoreceptors, enabling richer haptic information. This study presents an electromagnetic multimodal haptic device capable of delivering indentation, stretch, and vibration stimuli. The device is enabled by a novel polymer thin‐film compliant mechanism that provides high translational compliance along ...
Jingjing Wan +15 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Zoom out: An intervention on the virtual learning environment improves minority students' grades in two field experiments in Israel. [PDF]
Endevelt K, Halperin E, Porat R.
europepmc +1 more source
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic +6 more
wiley +1 more source
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park +3 more
wiley +1 more source
Enhancing specimen collection skills for dried blood spots through an immersive virtual learning environment: a cross-sectional study. [PDF]
Majid H +7 more
europepmc +1 more source

