Results 71 to 80 of about 52,299 (258)

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Monolithic Oxidation Enables Ultrathin Vertically Graded Tantalum Oxide for Low‐Voltage, Low‐Variability Memristive Switching

Advanced Functional Materials, EarlyView.
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang, Dong Hyun Lee, Conan Weiland, Won‐Il Lee, Kim Kisslinger, Mingzhao Liu, Aswin kumar Anbalagan, Xiao Tong, Soumyajit Mandal, Nikhil Tiwale, Houk Jang, Chang‐Yong Nam   +11 more
wiley   +1 more source

Forward‐Biased Perovskite Photodiodes for In‐Sensor Optical Change Sensing

Advanced Functional Materials, EarlyView.
A forward‐biased perovskite photodiode is introduced as an in‐sensor analog preprocessing unit that uses current balancing between photocurrent and injection current to generate optical changes relative to programmable optical reference levels. The device directly converts reference‐relative optical changes into bipolar current signals, enabling sensor‐
Eungseon Yeon, Je‐Jun Lee, Somin Yun, Sangin Hahn, Chanhyeok Kim, Jinsoo Park, Jung Pyo Hong, Seong‐Jun Han, Jung Woo Kim, Jeong Hwan Lee, Subin Jeon, Youngmin Kim, Gunuk Wang, Hanul Min, Do Kyung Hwang   +14 more
wiley   +1 more source

Data Fault Detection in Medical Sensor Networks

Sensors, 2015
Medical body sensors can be implanted or attached to the human body to monitor the physiological parameters of patients all the time. Inaccurate data due to sensor faults or incorrect placement on the body will seriously influence clinicians’ diagnosis ...
Yang Yang, Qian Liu, Zhipeng Gao, Xuesong Qiu, Luoming Meng   +4 more
doaj   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Intelligent Analysis and Prediction of Building Energy Consumption in Cloud Computing

Engineering Proceedings
We researched, analyzed and predicted building energy consumption data using cloud computing and constructed an intelligent model. A local outlier factor outlier discovery algorithm was created to monitor abnormal energy consumption.
Lan Huang, Xiaoli Zhu, Xiangfeng Ren
doaj   +1 more source

Rational Control of Antibody Orientation for Enhancing Sensitivity and Specificity in Lateral Flow Immunoassays With Clinical Validation

Advanced Healthcare Materials, EarlyView.
Systematic investigation of antibody orientation strategies in lateral flow immunoassays reveals that a para‐substituted (aminomethyl)phenylboronic acid mediated probe (P‐6) combined with a biotin‐streptavidin test‐line modification achieves a synergistic 14‐ to 19‐fold sensitivity gain over conventional conjugation. Furthermore, multiplexed detection,
Pin‐Hao Wang, Shunmuga Nathan Shunmuga Nainar, Bing‐Han Zhuang, Shun‐Mao Yang, Hong‐Cheu Lin, Yang‐Hsiang Chan   +5 more
wiley   +1 more source

Outlier Ensemble Based on Isolation Forest: The CBOEA Approach

Foundations of Computing and Decision Sciences
Outliers are instances that deviate from the norm. In certain fields, their detection is crucial since they are often indicators of interesting events such as system faults and deliberate human actions.
Chaabouni Ali, Boujelben Mohamed Ayman
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

A Universal van der Waals Tunneling Injector for Monolayer CMOS

Advanced Materials, EarlyView.
A universal van der Waals injector unlocks polarity‐flexible tunneling contacts for monolayer CMOS. SnSe2, an intrinsically degenerate 2D semiconductor, establishes polarity‐specific band alignments with both WSe2 and MoS2 channels, enabling steep switching, high on/off ratios, and a unified route to low‐power 2D logic.
Hanbin Cho, Jing Huang, Seonguk Yang, Subin Im, Sangwoo Park, Jeongin Yeo, Sungyeon Kim, Gilhwan Do, Wenxuan Zhu, Soobeom Shin, Jongwon Lee, Yongjoon Shin, Do‐Sun Lee, Hu Young Jeong, Tae‐Eon Park, Jun Kang, Kyungmin Ko, Joonki Suh   +17 more
wiley   +1 more source