Results 101 to 110 of about 10,154 (300)

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

open access: yesAdvanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke   +4 more
wiley   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

open access: yesAdvanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen   +3 more
wiley   +1 more source

Quantum factoring, discrete logarithms, and the hidden subgroup problem [PDF]

open access: yesComputing in Science & Engineering, 2001
latex2e, 15 pages. Review article prepared for special issue of "IEEE Computing in Science and Engineering"
openaire   +2 more sources

Discrete logarithm

open access: yes, 2010
V diplomskem delu obravnavamo problem diskretnega logaritma. Problem diskretnega logaritma je matematično-računski problem, ki služi kot osnova kriptografskim protokolom. Pri diskretnih logaritmih operiramo znotraj multiplikativne grupe G. Problem od nas
Petelinek, Barbara
core  

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

On new multivariate cryptosystems based on hidden Eulerian equations

open access: yesДоповiдi Нацiональної академiї наук України
We propose new multivariate cryptosystems over an n-dimensional free module over the arithmetical ring Zm based on the idea of hidden discrete logarithm for Zm∗. These cryptosystems are based on the hidden Eulerian equations.
V.A. Ustimenko
doaj   +1 more source

Minors solve the elliptic curve discrete logarithm problem

open access: yes, 2023
The elliptic curve discrete logarithm problem is of fundamental importance in public-key cryptography. It is in use for a long time. Moreover, it is an interesting challenge in computational mathematics.
Abdullah, Ansari, Mahalanobis, Ayan
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Finding discrete logarithms with a set orbit distinguisher

open access: yesJournal of Mathematical Cryptology, 2012
We consider finding discrete logarithms in a group of prime order p when the help of an algorithm D that distinguishes certain subsets of from each other is available.
Gallant Robert P.
doaj   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

open access: yesAdvanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou   +8 more
wiley   +1 more source

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