Results 121 to 130 of about 116,444 (276)
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Searchable symmetric encryption over multiple servers
Searchable Symmetric Encryption (SSE) allows a user to store encrypted documents on server(s) and later efficiently searches these documents in a private manner. So far most existing works have focused on a single storage server.
Geong Sen Poh +5 more
core +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
A Searchable Encryption Scheme Based on CRYSTALS-Dilithium
With the advancement in quantum computing technology, the number theory-based hard problems underlying traditional searchable encryption algorithms are now vulnerable to efficient quantum attacks.
Minghui Zheng +3 more
doaj +1 more source
A multicomponent supramolecular hydrogel integrating cell‐adhesive and antibacterial peptides within an alginate‐cellulose nanofibril matrix is developed. Peptide co‐assembly simultaneously strengthens the hydrogel network, improves extrusion printability, and imparts cell‐adhesive and antibacterial functions, offering a versatile platform for ...
Mor Tsuriano‐Zernichov +4 more
wiley +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Research on Dynamic Searchable Encryption Method Based on Bloom Filter
Data outsourcing has become more and more popular due to its low cost and flexibility. However, there is a problem that the cloud server used to store data is partially trusted.
Ziqi Jin +3 more
doaj +1 more source
Intelligent Banking XML Encryption Using Effective Fuzzy Classification [PDF]
In this chapter we present a novel approach for securing financial XML transactions using an effective and intelligent fuzzy classification technique. Our approach defines the process of classifying XML content using a set of fuzzy variables.
Lu, Joan +2 more
core
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli +4 more
wiley +1 more source
Privacy-Preserving Keyword Search With Access Control for Secret Sharing-Based Data Outsourcing
Searchable encryption, also known as secure search, is a technology that enables search operations on encrypted data while maintaining confidentiality.
Ahmad Akmal Aminuddin Mohd Kamal +2 more
doaj +1 more source

