Results 61 to 70 of about 43,844 (258)

Tantalum–Palladium Ultrathin Resistance Hydrogen Sensor

Advanced Functional Materials, EarlyView.
Nanoconfined Ta‐alloy thin films enable fast, reversible hydrogen sensing by suppressing unwanted phase transitions. A Ta0.88${\rm Ta}_{0.88}$Pd0.12${\rm Pd}_{0.12}$ sensing layer delivers hysteresis‐free detection from ppb to 100% H2${\rm H}_2$ at room temperature.
Folkert Isaäc Bernhard Straus, Herman Schreuders, Lars Johannes Bannenberg   +2 more
wiley   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Machine learning regression models for internal shame

Acta Psychologica
This study aims to predict Internal Shame (IS) based on childhood trauma, social emotional competence, cognitive flexibility, distress tolerance and alexithymia in an Iranian sample.
Nataša Kovač, Kruna Ratković, Hojjatollah Farahani, Peter Watson   +3 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Impact of 25-Hydroxyvitamin D on the Prognosis of Acute Ischemic Stroke: Machine Learning Approach

Frontiers in Neurology, 2020
Background and Purpose: Vitamin D is a predictor of poor outcome for cardiovascular disease. We evaluated whether serum 25-hydroxyvitamin D level was associated with poor outcome in patients with acute ischemic stroke (AIS) using machine learning ...
Chulho Kim, Chulho Kim, Sang-Hwa Lee, Jae-Sung Lim, Yerim Kim, Min Uk Jang, Mi Sun Oh, San Jung, Ju-Hun Lee, Kyung-Ho Yu, Byung-Chul Lee   +10 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Stacked Ensemble of Gradient Boosting Machine, Categorical Boosting,and Extreme Gradient Boosting for Enhanced Tuberculosis Diagnosis

IJACI : International Journal of Advanced Computing and Informatics
Tuberculosis (TB), a deadly infectious disease caused by Mycobacterium tuberculosis (MTB), remains one of the leading causes of death worldwide, particularly in low and middle-income countries. Despite over a century of eradication efforts, TB continues to pose a significant public health challenge.
Amir Hamzah Dinnillah, Muhammad Fuad Abdullah   +1 more
openaire   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

The prediction of essential medicine demand using machine learning and traditional methods on EPSS Gondar hub 2018–2022 data

Exploratory Research in Clinical and Social Pharmacy
Introduction: No prior research has utilized predictive models for forecasting essential medicine demand in Ethiopia. Therefore, this study aimed to identify the most accurate predictive model for predicting essential medicine demand at public health ...
Tefera Minwagaw Biadigilign, Mulugojjam Jegnie Tagele, Abrham Wondimu, Wondim Ayenew   +3 more
doaj   +1 more source