Research on coupling coordination of new quality productive forces and innovation resource allocation based on MLP neural networks. [PDF]
Liu Y, Wang L, Chen B, Shan H.
europepmc +1 more source
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
Probabilistic greedy algorithm solver using magnetic tunneling junctions for traveling salesman problem. [PDF]
Zhang R +17 more
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Extended Divergence-Measure Fields, the Gauss-Green Formula and Cauchy Fluxes. [PDF]
Chen GG, Irving C, Torres M.
europepmc +1 more source
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Risk Assessment and Management of Brucella canis Introduction via Commercial Dog Imports Into France. [PDF]
Mvumbi P, Zanella G, Crozet G.
europepmc +1 more source
Ensemble transformer-based multiple instance learning for predicting neoadjuvant chemotherapy response from breast cancer biopsy whole-slide images. [PDF]
Wu Z +5 more
europepmc +1 more source
The desire to avoid cognitive dissonance drives community formation in a social network model. [PDF]
Kovács Z, Palla G, Zafeiris A.
europepmc +1 more source

