Results 21 to 30 of about 138,439 (148)

Integrating Dense Genotyping with High‐Throughput Phenotyping Empowers the Genetic Dissection of Berry Quality and Resilience Traits in Grapevine

Advanced Science, EarlyView.
Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang, Yongjian Wang, Michael Henke, Pablo Carbonell‐Bejerano, Zemin Wang, Pierre‐François Bert, Yi Wang, Huayang Li, Junhua Kong, Peige Fan, Zhanwu Dai, Zhenchang Liang   +11 more
wiley   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

Advanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao, Bin Yu   +5 more
wiley   +1 more source

Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation

Advanced Science, EarlyView.
Detecting internal abnormalities in soft matter remains challenging due to its heterogeneous nature. This study introduces a method that infers hidden physical properties by matching observed deformation with simulation through parallel Bayesian optimization.
Huanyu Yang, Yitao Cheng, Penghui Zhao, Jiageng Cai, Zhaowei Yin, Shaomin Chen, Ge Guo, Chi Zhu, Ke Liu, Lingyun Zu   +9 more
wiley   +1 more source

Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics

Advanced Science, EarlyView.
Data‐driven inverse molecular design (IMD) is a promising approach to discovering new molecules with desired properties. Despite the remarkable progress, existing IMD methods lag behind in terms of trustworthiness, as indicated by their misalignment with the ground‐truth function that models the molecular dynamics.
Kevin Tirta Wijaya, Navid Ansari, Hans‐Peter Seidel, Vahid Babaei   +3 more
wiley   +1 more source

Synergistic Machine Learning Guided Discovery of ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I): A Promising Family as Property‐Balanced IR Functional Materials

Advanced Science, EarlyView.
A synergistic framework for interpretable ML‐assisted target discovery of selenoborates is developed. ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I) are successfully predicted and synthesized, exhibiting significant potential to be promising IR functional materials. This work promotes the cooperation of ML technology and materials science.
Yihan Yun, Mengfan Wu, Zhihua Yang, Guangmao Li, Shilie Pan   +4 more
wiley   +1 more source

Photonic Bayesian Neural Networks: Leveraging Programmable Noise for Robust and Uncertainty‐Aware Computing

Advanced Science, EarlyView.
This work introduces a novel photonic Bayesian neural network architecture that utilizes tunable photonic random number generators to independently control weight distribution parameters, significantly improving robustness, scalability, and accuracy while demonstrating practical applications in multimodal data processing and uncertainty‐aware computing.
Yangyang Zhuge, Zhihao Ren, Zian Xiao, Zixuan Zhang, Xinmiao Liu, Weixin Liu, Siyu Xu, Chong Pei Ho, Nanxi Li, Chengkuo Lee   +9 more
wiley   +1 more source

Transient Interdomain Interactions Modulate the Monomeric Structural Ensemble and Self‐Assembly of Huntingtin Exon 1

Advanced Science, EarlyView.
Polyglutamine (polyQ) tract expansion (≥ 36 amino acids) within the N‐terminal region of the Huntingtin protein (Httex1) causes Huntington's disease (HD), for which the underlying causes are not well‐understood. The authors performed computer simulations to understand the cause of HD at the molecular level.
Priyesh Mohanty, Tien Minh Phan, Jeetain Mittal   +2 more
wiley   +1 more source

Abiotic Factors and Plant Communities Shape the Distribution of Soil Pathogenic Oomycetes in Chinese Grasslands

Advanced Science, EarlyView.
The continental‐scale study reveals that soil phosphorus strongly predicts the richness of soil pathogenic oomycetes in Chinese grasslands, while precipitation and plant species richness drive their absolute abundance; modeling predicts ≈42% of grassland areas may face elevated oomycete disease risk under future climate scenarios, especially in typical
Junsheng Ke, Chen Zhu, Peixi Jiang, Peng Zhang, Kui Hu, Yilin Dang, Yao Xiao, Mu Liu, Huiying Liu, Xiang Liu, Ville‐Petri Friman   +10 more
wiley   +1 more source

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

Advanced Electronic Materials, EarlyView.
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster, Prashant Sankaran, Eloise Bihar   +2 more
wiley   +1 more source

The Value of Device Characterization for the Optimization of Organic Solar Cells

Advanced Energy Materials, EarlyView.
Using the example of organic photovoltaics (OPV), this study examines whether and when additional measurements can be helpful in process optimization. A virtual laboratory based on real solar cells serves as a benchmark function to compare two different approaches for process optimization, namely black‐box optimization (black circle) and model‐based ...
Leonard Christen, Barbara Urbano, Anne Krause, Paula Hartnagel, Thomas Kirchartz   +4 more
wiley   +1 more source