Results 251 to 260 of about 1,881,625 (304)

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

Editorial: Multi-omics approaches in the study of human disease mechanisms. [PDF]

Front Bioinform
Wang D, Agapito G.
europepmc   +1 more source

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

Advanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong, Changfan Xu, Huaping Zhao, Yong Lei   +3 more
wiley   +1 more source

Editorial: Emerging trends in large-scale data analysis for neuroscience research. [PDF]

Front Neuroinform
Nathoo FS, Krigolson OE, Wang F.
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Editorial: Mendelian randomization and cardiovascular remodeling. [PDF]

Front Pharmacol
Qiang J, Yang J, Liu Y, Zhang J, Sun H, Li L, Wang D, Liu Y, Hao P.   +8 more
europepmc   +1 more source

High Performance Room Temperature Multiferroic Properties of w‐MnSe Altermagnet

Advanced Functional Materials, EarlyView.
Using first‐principles calculations, for the first time the Altermagneto‐Ferroelectric Coupling Effect (AFCE) is proposed, which enables control of both electric polarization and spin splitting in the band structure due to polyhedral rotations. This uncovers robust multiferroicity in wurtzite MnSe at room temperature, offering an exciting route for ...
Djamel Bezzerga, Imran Khan, Jisang Hong
wiley   +1 more source

Improving Topic Modeling Performance with Term Frequency for Feature Optimization on Final Project Dataset

Putu Manik Prihatini, I Ketut Gede Sudiartha, Sri Andriati Asri, Elina Rudiastari, I Nyoman Eddy Indrayana, Putu Indah Ciptayani   +5 more
openalex   +1 more source

Editorial: Advancements and future challenges in molecular diagnostics and therapeutics. [PDF]

Front Mol Biosci
Becatti M, Mozafari M, Risoluti R.
europepmc   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source