Results 161 to 170 of about 505,548 (331)

Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A Study Employing Multifidelity Machine Learning

Advanced Theory and Simulations, EarlyView.
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu, Vivin Vinod, Matthias Holzenkamp, Yannick Marcel Holtkamp, Sayan Maity, Carlos R. Salazar, Ulrich Kleinekathöfer, Peter Zaspel   +7 more
wiley   +1 more source

Even pairs and the strong perfect graph conjecture

, 1996
Stefan Hougardy
openalex   +1 more source

Laser Ultrasound Super‐Resolution Imaging for Multi‐Parametric Non‐Invasive Volumetric Characterization of Brain Cancer

Advanced Science, EarlyView.
Laser ultrasound super‐resolution imaging (LUSSI) leverages laser‐generated ultrasound for functional 3D transcranial imaging of brain tumor vasculature. Combined with optoacoustic tomography, it is demonstrated in a glioblastoma model, revealing structural abnormalities, compressed vessels, hemorrhages, and hypoxic regions.
Daniil Nozdriukhin, Yi Chen, Shuxin Lyu, Daniel Razansky, Xosé Luís Deán‐Ben   +4 more
wiley   +1 more source

The parity path problem on some subclasses of perfect graphs

, 1996
C.R. Satyan, C. Pandu Rangan
openalex   +1 more source

Controlled Growth of Graphene‐Skinned Al2O3 Powders by Fluidized Bed‐Chemical Vapor Deposition for Heat Dissipation

Advanced Science, EarlyView.
This research introduces a facile and scalable FB‐CVD strategy for synthesizing high‐crystallinity, multilayer Gr‐skinned Al2O3 powders, specifically designed for advanced thermal management applications. The continuous graphene skin establishes a comprehensive heat transfer network, ensuring efficient heat dissipation.
Yuzhu Wu, Zhifeng Sun, Ningning Liu, Zhong Wang, Yueming Hu, Tianqi Bai, Tao Wang, Jingyang Chen, Xiaopan Qiu, Xudong Zhang, Fushun Liang, Dongcheng Jiao, Dan Li, Lishuo Han, Wenhu Wang, Qin Xie, Ronghua Zhang, Ali Cai, Yuqi Xia, Haonan Zhai, Zhong‐zhen Yu, Yue Qi, Chu Wang, Peng Gao, Xiucai Sun, Bingyang Cao, Yuqing Song, Zhongfan Liu   +27 more
wiley   +1 more source

Perfect matchings and ears in elementary bipartite graphs

, 1997
Pierre Hansen, Fuji Zhang, Maolin Zheng
openalex   +1 more source

Toward a Species Search Engine: KISSE Offers a Rigorous Statistical Framework for Bone Collagen Tandem Mass Spectrometry Data

Advanced Science, EarlyView.
The Species Search Engine (KISSE) is a novel statistical approach for identifying species from collagen peptides, using a curated library of sequences and their relative abundances derived from shotgun proteomics. Abstract DNA and bone collagen are two key sources of resilient molecular markers used to identify species from their remains.
Hassan Gharibi, Amir Ata Saei, Alexey L. Chernobrovkin, Susanna L. Lundstrom, Hezheng Lyu, Zhaowei Meng, Akos Vegvari, Massimilliano Gaetani, Roman A. Zubarev   +8 more
wiley   +1 more source

SCRIPT: Predicting Single‐Cell Long‐Range Cis‐Regulation Based on Pretrained Graph Attention Networks

Advanced Science, EarlyView.
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang, Baole Wen, Yifeng Jiao, Yuchen Liu, Xin Guo, Yushuai Wu, Jiyang Li, Limei Han, Yinghui Xu, Xin Gao, Yuan Qi, Yuan Cheng, Ying He, Weidong Tian   +13 more
wiley   +1 more source

Perfectness is an Elusive Graph Property [PDF]

, 2004
Stefan Hougardy, Annegret K. Wagler
openalex   +1 more source

Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication

Advanced Science, EarlyView.
By developing a novel framework that optimizes both shape and temporal loss during decoder training, the authors successfully reconstruct human‐recognizable handwriting trajectories from intracortical neural signals for both Chinese characters and English letters, effectively resolving the temporal misalignment problem in clinical BCIs, thereby ...
Guangxiang Xu, Zebin Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Yueming Wang, Yaoyao Hao   +6 more
wiley   +1 more source