Results 131 to 140 of about 31,005 (332)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Method for reducing the storage overhead of the IEX scheme

网络与信息安全学报
Searchable symmetric encryption was recognized as an efficient method for searching within encrypted data. The IEX scheme was the first to achieve sublinear search complexity while supporting Boolean queries; however, it was found to incur high server ...
ZHANG Xiangbo, MA Changshe, SU Yuchen
doaj  

Eurus: Towards an Efficient Searchable Symmetric Encryption With Size Pattern Protection

, 2020
Zheli Liu, Yanyu Huang, Xiangfu Song, Bo Li, Jin Li, Yali Yuan, Changyu Dong   +6 more
openalex   +2 more sources

Character‐based symmetric searchable encryption and its implementation and experiment on mobile devices [PDF]

, 2013
Takanori Suga, Takashi Nishide, Kouichi Sakurai   +2 more
openalex   +1 more source

Backward Private Searchable Symmetric Encryption with Improved Locality

, 2021
Salim Bilbul, Ayad I. Abdulsada
openalex   +1 more source

Dynamic searchable symmetric encryption

, 2015
The subject of this thesis is "Dynamic Searchable Symmetric Encryption" (DSSE). DSSE is one of the solutions that can be used for implementations of searchable encryption schemes. Searchable encryption allows a client to outsource the storage of its encrypted data to a server, while maintaining the ability to search over the data without downloading it.
openaire   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

EVMK-SSE: Efficient and Verifiable Multi-Keyword SSE from client-independent relaxed OPRF for outsourced database in cloud

Journal of King Saud University: Computer and Information Sciences
Symmetric searchable encryption (SSE) is a foundational technology that enables privacy-preserving queries of encrypted data stored on untrusted cloud servers.
Huihui Zhu, Fei Tang, Wenyu Qin, Jinyong Shan, Ping Wang, Artur Iasenovets   +5 more
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

EStore: A User-Friendly Encrypted Storage Scheme for Distributed File Systems. [PDF]

Sensors (Basel), 2023
Chen Y, Dong G, Xu C, Hao Y, Zhao Y.
europepmc   +1 more source