Results 131 to 140 of about 6,986 (292)

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Approximate nearest neighbor regression in very high dimensions, Nearest Neighbor Methods in Learning and Vision

, 2006
Fast and approximate nearest-neighbor search methods have recently become popular for scaling nonparameteric regression to more complex and high-dimensional applications.
Stefan Schaal, Sethu Vijayakumar
core  

Simple Synthesis of Entropy Stabilized Oxides Single Crystal Films

Advanced Materials Interfaces, EarlyView.
Diffusion‐controlled enables the creation of a single‐crystal thin film of Entropy‐stabilized oxides (ESO). ABSTRACT Entropy‐stabilized oxides (ESO) have emerged in the last decade as a new class of metastable materials with promising functional properties.
Antoine Raison, Nathalie Prud'homme, Christophe Racic, Wu Wang, Diana Dragoe, David Bérardan, Nita Dragoe   +6 more
wiley   +1 more source

Nearest Neighbor Search in Multidimensional Spaces

, 1999
The Nearest Neighbor Search problem is defined as follows: given a set P of n points, preprocess the points so as to efficiently answer queries that require finding the closest point in P to a query point q. If we are willing to settle for a point that
Panayiotis Tsaparas
core  

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Learning Execution Plan Embeddings for Multi-Dimensional Query Resource Prediction

IEEE Access
Multi-cluster query engines are common in production, but routing queries to appropriately-sized clusters remains an unsolved problem. Current approaches like round-robin, hash-based routing, or manual rules waste resources when simple queries land on ...
Mahendran Vasagam, Ashok Kumar, Anshul Garg   +2 more
doaj   +1 more source

Light Switchable Ionic Conductivity of Arylazopyrazole Modified Polysiloxanes

Advanced Materials Technologies, EarlyView.
We present a polysiloxane functionalized with a novel arylazopyrazole dye that undergoes reversible photoisomerization. Upon lithium bis(trifluoromethanesulfonyl)imide addition and UV irradiation, the polymer exhibits a shift in tan(d) toward higher frequencies and enhanced ionic conductivity.
Malte S. Beccard, Thulasinath Raman Venkatesan, Michael Bauer, Valentin Razvan Lupu, Philipp Scheidegger, Francesco Taddei, Frank A. Nüesch, Dorina M. Opris   +7 more
wiley   +1 more source

PhishCluster: Real-Time, Density-Based Discovery of Malicious URL Campaigns from Semantic Embeddings

Information
The proliferation of algorithmically generated malicious URLs has overwhelmed traditional threat intelligence systems, necessitating a paradigm shift from reactive, single-instance analysis to proactive, automated campaign discovery.
Dimitrios Karapiperis, Georgios Feretzakis, Sarandis Mitropoulos   +2 more
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source