Results 221 to 230 of about 1,235,780 (284)

Scalable Wheat Bran‐Algae Composites for Edible Electronics with Spray‐Coated Food‐Grade Conductive Inks

Advanced Electronic Materials, EarlyView.
A fully edible wheat bran–algae substrate is fabricated through scalable mould‐compression and spray‐coating, enabling robust, food‐grade platforms for sustainable electronics. A chitosan barrier improves water resistance and ink compatibility, while activated‐carbon conductive films form uniform electrodes with Ohmic behaviour.
Jaz Johari, Muhua Zhu, Zhiging Wang, Yichen Lang, Georgios Nikiforidis, Mingqing Wang, Mengyan Nie, Shahab Akhavan   +7 more
wiley   +1 more source

Combining space use with diet data to investigate foraging tactics of black bears in response to the pulsed availability of migratory caribou calves. [PDF]

PLoS One
Nowack L, Bonin M, Leclerc M, Michelot C, Dussault C, Taillon J, Pisapio J, Côté SD.   +7 more
europepmc   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Quantum Angle-distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis. [PDF]

BioData Min
Salehi A, Goudarzi HR, Heydarian A.
europepmc   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +1 more source

Detecting Positive Selection by Modeling Structure Within Images of Genetic Variation. [PDF]

Genome Biol Evol
Amin MR, Arnab SP, Khan M, DeGiorgio M.
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

The Effects of Chinese Dwarf Cherry (Cerasus humilis) Kernel Oil on Defecation and the Gut Microbiota in Constipated Mice. [PDF]

Nutrients
Gao J, Dai Y, Liang Z, Chen N, Li X, Wen X, Ni Y, Li M.   +7 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source