Results 141 to 150 of about 147,152 (326)
Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji +7 more
wiley +1 more source
Jorg Flum, R. G. Downey, M. R. Fellows
openaire +2 more sources
Quantum Computing Meets Deep Learning: A QCNN Model for Accurate and Efficient Image Classification
In deep learning, Convolutional Neural Networks (CNNs) serve as fundamental models, leveraging the correlational structure of data for tasks such as image classification and processing.
Sunil Prajapat +4 more
doaj +1 more source
Parameterized Complexity of the Anchored k-Core Problem for Directed\n Graphs [PDF]
Rajesh Chitnis +2 more
openalex +1 more source
Heterogeneous distributions of elasticity parameters are learned from noisy displacement data using the Inverse Elasticity Physics‐Informed Neural Network (IE‐PINN). This approach integrates both data‐driven and physics‐driven methods to address the significant limitations faced by existing techniques.
Tatthapong Srikitrungruang +4 more
wiley +1 more source
Molybdenum (Mo), with its unique strength, uniform corrosion, and radiopacity, enables innovative biodegradable implants for transformative stroke therapy. Abstract Neurovascular implants for stroke intervention face a critical dilemma: permanent devices (e.g., nitinol stents, platinum coils) often trigger chronic inflammation and recurrence, whereas ...
Yunong Shen +11 more
wiley +1 more source
Scalable parameterized quantum circuits classifier
As a generalized quantum machine learning model, parameterized quantum circuits (PQC) have been found to perform poorly in terms of classification accuracy and model scalability for multi-category classification tasks. To address this issue, we propose a
Xiaodong Ding +5 more
doaj +1 more source
Efficient collision detection is of great significance for the design and analysis of large-scale complex tubular structures. However, traditional methods rely on 3D surface calculations or bounding boxes, which suffer from problems such as high ...
Wenming Jiang +7 more
doaj +1 more source
Novel Antifungal Scaffold Targeting Tubulin Overcomes Sclerotinia Sclerotiorum Resistance
Addressing pesticide resistance, novel chromone‐acylhydrazone hybrids targeting fungal tubulin are synthesized. Compound G24 potently inhibited S. sclerotiorum (EC50 = 0.21µg mL−1) and demonstrated enhanced field performance via microencapsulation, offering a sustainable strategy against resistance and for global food security.
Lihui Shao +5 more
wiley +1 more source

