Results 101 to 110 of about 4,888,790 (252)

A Single‐Capillary Open Microfluidic Probe for Robust and Versatile Spatial Multi‐Omics Using Ambient Mass Spectrometry Imaging

Advanced Science, EarlyView.
This study reports a knot‐shaped single‐capillary open microfluidic probe (Knot‐probe) for robust and versatile spatial omics, enabling ambient mass spectrometry imaging with high spatial resolution, throughput, and structure‐resolved capability. Knot‐probe mitigates the trade‐off between analytical performance and operational robustness, providing an ...
Xiangyu Zhu, Yunkai Li, Jianing Wang, Chengyi Xie, Lei Guo, Yanyan Chen, Thomas Ka‐Yam Lam, Shao‐Wen Shi, Kun Wang, Baoliang Chen, Zongwei Cai   +10 more
wiley   +1 more source

Magnetic Resonance Reveals Radical Stability in Native Biofilms and Its Role in Bacterial Resistance

Angewandte Chemie, EarlyView.
The complex biofilm environment consists of planktonic bacterial cells and cells embedded in an extracellular matrix (ECM). Through an integrated magnetic resonance approach, we show that nitroxide radicals primarily interact with the polysaccharides and lipids in the ECM.
Alysia Mandato, Hannah Hunter, Sadhana Srinivasa, Chang‐Hyeock Byeon, Abdulkadir Tunc, Meghan K. Wells, Faith J. Scott, Frederic Mentink‐Vigier, Wook Kim, Sunil Saxena, Ümit Akbey   +10 more
wiley   +2 more sources

Exploiting Temperature Effects for Robust Control and Reference Circuits Using Thin‐Film Contact‐Controlled Transistors

Advanced Electronic Materials, EarlyView.
Compact circuits based on contact‐controlled transistors are well‐suited to unsupervised thermal management, sensitive temperature measurement, or temperature‐stable current references. Demonstrated on flexible microcrystalline silicon and supported by simulation, the approach does not require supply voltage regulation, remains manufacturable across ...
Eva Bestelink, Jean‐Charles Fustec, Olivier de Sagazan, Rogier Fransen, George Bairaktatis, Emmanuel Jacques, Radu A. Sporea   +6 more
wiley   +1 more source

Adaptation of a Fluorogenic RNA to N1‐Methylpseudouridine Nucleoside Chemistry

Angewandte Chemie, EarlyView.
Several green‐emitting fluorogenic RNA aptamers were evaluated following the replacement of every uridine by N1‐methylpseudouridine (mΨ). Because this modification impaired the function of most aptamers, a directed evolution strategy combining droplet microfluidics, bioinformatics, and rational design was used to identify an aptamer preserving its ...
Patrick P.A. Bertrand, Roger Cubi, Claire Husser, Magali Frugier, Michael Ryckelynck   +4 more
wiley   +2 more sources

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

Enhancing Speech Emotion Recognition Through Differentiable Architecture Search [PDF]

Speech Emotion Recognition (SER) is a critical enabler of emotion-aware communication in human-computer interactions. Recent advancements in Deep Learning (DL) have substantially enhanced the performance of SER models through increased model complexity ...
Sisman, Berrak, Rana, Rajib, Khalifa, Sara, Rajapakshe, Thejan, Schuller, Björn   +4 more
core   +1 more source

Pseudo-Inverted Bottleneck Convolution for DARTS Search Space

, 2023
Differentiable Architecture Search (DARTS) has attracted considerable attention as a gradient-based neural architecture search method. Since the introduction of DARTS, there has been little work done on adapting the action space based on state-of-art ...
Ahmadian, Arash, Liu, Louis S. P., Hosseini, Mahdi S., Fei, Yue, Plataniotis, Konstantinos N.   +4 more
core  

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source