Results 221 to 230 of about 2,376,097 (347)
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
Advanced Science, EarlyView.We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
Adam Ciołkosz i Radio Wolna Europa w świetle jego korespondencji z Janem Nowakiem-Jeziorańskim
, 2018 Kamila Kamińska-Chełminiak
openalex +2 more sources
Advanced Science, EarlyView.A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source
Factors Influencing the Use of Patient-Specific Instrumentation (PSI) in Shoulder Arthroplasty: A Single-Centre Study. [PDF]
CureusThalanki S +5 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Advanced Science, EarlyView.Plasticity changes of molecular networks form a cellular learning process. Signaling network plasticity promotes cancer, metastasis, and drug resistance development. 55 plasticity‐related cancer drug targets are listed (20 having already approved drugs, 9 investigational drugs, and 26 being drug target candidates).
Márk Kerestély +5 more
wiley +1 more source