Results 131 to 140 of about 59,322 (240)
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source
Mães em cárcere: a justiça seletiva [PDF]
O trabalho "Mães em Cárcere: A Justiça Seletiva" aborda a realidade das mulheres mães presas no Brasil, explorando as desigualdades sociais e seletividades judiciais que afetam suas vidas. A autora analisa como o sistema prisional impacta negativamente a
Silva, Dayres Vitoria Pereira da
core
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Objetivou-se descrever as percepções do enfermeiro em relação ao manuseio do copo pelas mães na alimentação do recém-nascido, em unidade neonatal. Estudo qualitativo, realizado em uma unidade neonatal de um hospital universitário do município do Rio de ...
Sandra Teixeira de Araújo Pacheco +5 more
doaj
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
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
Percepção de gestantes e mães sobre saúde bucal: revisão de literatura
A mulher e mãe tem um papel fundamental dentro do núcleo familiar. Elas exercem influência significativa, principalmente em relação à saúde, pois atuam como agentes multiplicadoras de informações, atitudes e conhecimentos ...
MARINA TAVARES COSTA NÓBREGA +2 more
doaj
Interface Charge Induced Multifunctional Manipulations in Metals
Voltage‑controlled interface charge enables giant, reversible modulation of magnetic anisotropy, magnetization, and resistivity in common metals. Space‑separated ions and electrons accumulate at interfaces, producing strong interfacial capacitor effect and high‑density electrons injection.
Qiang Cao +10 more
wiley +1 more source

