Results 201 to 210 of about 34,283 (310)
Advanced Intelligent Systems, EarlyView.A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
Angewandte Chemie, EarlyView.Bayesian optimization was used to optimize the synthesis parameters of the solid electrolyte Li7SiPS8$\mathrm {Li}_7\mathrm {SiPS}_8$ in order to increase the ionic conductivity. After only 32 iterations, the ionic conductivity was successfully increased from 2 to 7 mS cm−1$\mathrm {cm}^{-1}$ at 25∘C$^\circ\mathrm {C}$, while synthesis temperature and ...
Lucas G. Balzat +8 more
wiley +2 more sources
Advanced Intelligent Systems, EarlyView.A tandem neural network directly solves the multivalued inverse problem of extracting semiconductor parameters from transistor measurements. Trained on only 1000 simulations, the network infers six material parameters (e.g., defect states, carrier concentration, mobility) in under 1 ms, demonstrating a broadly applicable framework for semiconductor ...
Masatoshi Kimura +8 more
wiley +1 more source
Unbiased Structure Prediction of Sophisticated Cage Structures
Angewandte Chemie, EarlyView.We introduce the software and workflow for automated, unbiased exploration of all possible connectivities of a given set of building blocks and their stoichiometry to predict stable cage structures. ABSTRACT Cage structure prediction has made significant strides by generating structures based on what the community has seen before.
Andrew Tarzia, Giovanni M. Pavan
wiley +2 more sources
Ising Solver Using Vertical NAND Flash Memory
Advanced Intelligent Systems, EarlyView.Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park +7 more
wiley +1 more source
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Advanced Intelligent Systems, EarlyView.Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang +7 more
wiley +1 more source
Combined simulated annealing algorithm for the discrete facility location problem. [PDF]
ScientificWorldJournal, 2012 Qin J, Ni LL, Shi F.
europepmc +1 more source
Production of 3D printed biomodels of the canine brain for veterinary neuroanatomy teaching
Anatomical Sciences Education, EarlyView.Abstract Teaching neuroanatomy presents multiple challenges to both students and teachers, as it is a subject with highly dense content that commonly causes the development of aversion by students, a phenomenon referred to as “neurophobia,” which has been documented in human and veterinary medicine students.
João Victor Barbosa Tenório Fireman +1 more
wiley +1 more source