Results 201 to 210 of about 10,380,352 (315)
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Transfer learning for predicting acute myocardial infarction using electrocardiograms. [PDF]
Nyström A +5 more
europepmc +1 more source
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation. [PDF]
Minoccheri C +6 more
europepmc +1 more source
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won +3 more
wiley +1 more source
Transfer learning models for wheat ear detection on multi-source dataset. [PDF]
Grbović Ž +5 more
europepmc +1 more source
The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang +12 more
wiley +1 more source
An ensemble model based on transfer learning for the early detection of Alzheimer's disease. [PDF]
Varzaneh ZA +3 more
europepmc +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Geometric-topological deep transfer learning for precise vessel segmentation in 3D medical volumes. [PDF]
Wu J, Wen Z, Zhou H, Sun N, Zhang Y.
europepmc +1 more source

