Results 131 to 140 of about 416,163 (244)
Self‐Assembled Physical Unclonable Function Labels Based on Plasmonic Coupling
Advanced Optical Materials, EarlyView.This article introduces advanced anti‐counterfeit labels crafted through DNA‐guided self‐assembly of plasmonic nanoparticles. Utilizing nanosphere lithography for dense and precise nanoparticle placement, these labels feature unique, unclonable optical signatures achieved through plasmonic coupling, detectable by an economical 3D‐printed dark field ...
Mihir Dass +9 more
wiley +1 more source
Advanced Photonics Research, EarlyView.This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia +4 more
wiley +1 more source
Continuous Flow Technology Enabling Photochemistry
Advanced Synthesis &Catalysis, Accepted Article.The merger of continuous flow technology and modern photochemistry has enabled countless applications showcasing new opportunities for chemical synthesis demonstrating improvements in selectivity, safety, sustainability and scalability. This focused review aims to highlight a selection of recently published case studies from academic and industrial ...
Ruairi Crawford, Marcus Baumann
wiley +1 more source
Advanced Sensor Research, EarlyView.This study introduces a textile‐based capacitive pressure sensor featuring a triangular prism microstructure, which significantly enhances sensitivity to 5.52% kPa−¹ and supports a wide sensing range up to 330 kPa. The sensor's performance is validated in a 4‐channel capacitive pressure‐based force myography (cFMG) armband for gesture recognition ...
Rayane Tchantchane +3 more
wiley +1 more source
Crystal Structure Prediction of Cs–Te with Supervised Machine Learning
Advanced Theory and Simulations, EarlyView.High‐throughput density functional theory calculations combined with machine learning models are employed to predict stable Cs– Te binary crystals. By systematically evaluating various structural descriptors and learning algorithms, the superiority of models based on atomic coordination environments is revealed.
Holger‐Dietrich Saßnick +1 more
wiley +1 more source
SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes
Advanced Theory and Simulations, EarlyView.The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
wiley +1 more source
Advanced Theory and Simulations, EarlyView.Binding energy and electronic structure calculations are used to assess the ability of metal–organic framework (MOF)‐TiO2 composite materials to detect volatile organic compounds found in human breath. Electronic structure changes are measured by comparing density of states profiles using Wasserstein distances.
Maryam Nurhuda +3 more
wiley +1 more source
Advanced Science, EarlyView.Following a comparative analysis of omics‐based cancer detection models, a novel liquid biopsy‐based multi‐omics combined model is developed for the early detection of gynecological malignancies. By integrating cell‐free DNA methylation and tumor protein markers, the combined model demonstrates high specificity and sensitivity and is uniquely designed ...
Zheng Feng +17 more
wiley +1 more source
Advanced Science, EarlyView.This study discovers that SIRT1, a hub gene involved in glucolipid metabolic conversion in colorectal carcinoma (CRC), stimulates CX3CL1 secretion in CRC cells by activating FOXO1. The CX3CL1‐CX3CR1 signaling promotes the differentiation of TCF7+ regulatory T cells (Tregs) into an enhanced immunosuppressive TNFRSF9+ Treg phenotype.
Ruiyang Zi +18 more
wiley +1 more source
Flowsheet generation through hierarchical reinforcement learning and graph neural networks
AIChE Journal, Volume 69, Issue 1, January 2023., 2023 Abstract Process synthesis experiences a disruptive transformation accelerated by artificial intelligence. We propose a reinforcement learning algorithm for chemical process design based on a state‐of‐the‐art actor‐critic logic. Our proposed algorithm represents chemical processes as graphs and uses graph convolutional neural networks to learn from ...
Laura Stops +3 more
wiley +1 more source