Results 61 to 70 of about 48,097 (299)

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
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

A Descriptor for Non‐Arrhenius Ion Transport Enables Design of Sulfide Superionic Conductors

open access: yesAngewandte Chemie, EarlyView.
A curated database of sulfide electrolytes reveals widespread non‐Arrhenius ion transport. Meyer–Neldel deviation (MND) quantifies this behavior, distinguishes low‐conductivity and superionic regimes, and guides composition screening. An experimentally validated candidate exhibits room‐temperature conductivity of 7.21 mS cm−1, an apparent activation ...
Han Zhou   +6 more
wiley   +2 more sources

Peramalan Alokasi Anggaran Dana Pensiun di Kabupaten Banyumas dengan Metode Triple Exponential Smoothing

open access: yesHexagon
Jumlah Aparatur Sipil Negara (ASN) di Kabupaten Banyumas hingga Januari 2023 adalah 148.384 orang terdiri dari Pegawai Negeri Sipil (PNS) dan Pegawai Pemerintah dengan Perjanjian Kerja (P3K).
Nur Jannah   +2 more
doaj   +1 more source

Ensino a distância na formação inicial de professores : a difícil adaptação do modelo MAPE aos alunos do primeiro ano [PDF]

open access: yes, 2018
III Simpósio Internacional sobre Desenvolvimento Profissional Docente e III Congresso Internacional sobre Formação e Desenvolvimento Profissional Docente, Curitiba(PR) UTFPR, 2018.A presente comunicação aborda um estudo sobre uma experiência de ensino a ...
Sousa, Francisco
core  

Pattern‐Aware Intelligence Enables Nondestructive, Rapid Quantification of High‐Aspect‐Ratio Silicon Etching

open access: yesAdvanced Science, EarlyView.
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He   +4 more
wiley   +1 more source

Analisis Performa Metode Extreme Learning Machine dan Multiple Linear Regression dalam Prediksi Produksi Gula

open access: yesEdumatic
Sugar is a crucial commodity in Indonesia, with demand increasing annually. Variations in sugar production require accurate prediction strategies for industrial planning.
Ahmadi Yuli Ananta   +3 more
doaj   +1 more source

MAPE for maximum error trip over iterations.

open access: yes, 2022
MAPE for maximum error trip over iterations.
Lelitha Vanajakshi (13851027)   +2 more
core   +1 more source

Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue

open access: yesAdvanced Science, EarlyView.
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg   +19 more
wiley   +1 more source

SUSCEPTIBLE VACCINATED INFECTED RECOVERED SUSCEPTIBLE MODEL: EQUILIBRIA POINTS AND APPLICATION ON COVID-19 CASE DATA IN INDONESIA

open access: yesBarekeng
Severe Respiratory Syndrome Coronavirus-2 is the infectious agent that causes COVID-19. A vaccine program is an effort to stop the spread of COVID-19 infections in Indonesia.
Purnami Widyaningsih   +2 more
doaj   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

open access: yesAdvanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv   +10 more
wiley   +1 more source

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