Results 161 to 170 of about 4,823,962 (372)

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Theory of Knowledge Classification in Libraries (Book Review)

, 1966
D. J. Foskett
openalex   +2 more sources

Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors

Advanced Functional Materials, EarlyView.
2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang, Zhitian Ling, Paul W. M. Blom, Tomasz Marszalek, Wojciech Pisula   +4 more
wiley   +1 more source

Clasificaciones alternativas: la National Library of Medicine Classification.

, 1986
MARÍA LUISA GARZA AVALOS
openalex   +2 more sources

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

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Library of Congress Classification for Judaica: Recent Changes (1988-89)

, 1990
Ricky Dreyfuss
openalex   +2 more sources

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