Results 191 to 200 of about 71,004,447 (289)

Comparative Study of Machine Learning Models for Optimal Prediction of Printed-Line Features in Material Extrusion Additive Manufacturing. [PDF]

Materials (Basel)
Shen S, Chen R, Sun W, Zhao M, Zhang H.
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Radiological assessment of pulmonary vascularity in congenital heart disease: standardized clinician assessment versus deep learning-based prediction. [PDF]

J Cardiovasc Imaging
Selvam N, Parasu D, Desale A, Toshniwal P, Issac TR, Kumar S, Sasikumar N, Radhakrishnan S, Kumar RK.   +8 more
europepmc   +1 more source

High‐Throughput Discovery of Quantum Frustrated Materials

Advanced Functional Materials, EarlyView.
Physics‐guided discovery of frustrated kagome and triangular magnets. ABSTRACT Geometrical frustration provides a fertile platform for realizing exotic quantum phases such as spin liquids, yet, the predictive identification of frustrated magnets remains limited.
Byeong‐Hyeon Jeong, Hee Seung Kim, Jiwon Choi, SungBin Lee, Myung Joon Han   +4 more
wiley   +1 more source

Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm. [PDF]

Rapid Commun Mass Spectrom
Xu G, Gan S, Guo B, Yang L.
europepmc   +1 more source

Coordination‐Modulated Catalytic Pathways at Carbon Dots‐Supported Single‐Atom Sites Revealed by Thiol Interactions

Advanced Functional Materials, EarlyView.
Carbon dots‐supported single‐atom catalysts provide a model platform for uncovering how coordination interactions regulate catalytic reactivity. Thiol binding at Ru‒N4 centers reshapes the reaction energy landscape of H2O2 activation, dynamically modulating ROS‐generation pathways through electronic‐structure perturbation.
Yihong Chen, Li Zhang, Qian Dong, Qingshi Liu, Kun Wang, Huiping Wang, Shaomin Shuang, Chuan Dong, Jin‐Chang Guo, Xiaojuan Gong, Zhuo Chen, Yingfu Li   +11 more
wiley   +1 more source

OCD Compulsions as Aberrant Integration of Uncertainty from Local Goals to Global Goals. [PDF]

Comput Psychiatr
Geana A, Boisseau CL, Rasmussen S, Frank MJ.   +3 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Adaptive federated learning with differential privacy for multi-class respiratory disease recognition from lung sound recordings. [PDF]

Front Digit Health
Haq SR, Lakshmanna K.
europepmc   +1 more source

Unified Phase‐Field Framework for Antiferroelectric, Ferroelectric and Dielectric Phases: Application to HZO Thin Films

Advanced Functional Materials, EarlyView.
HfxZr1−xO2${\rm Hf}_x{\rm Zr}_{1-x}{\rm O}_2$ offers CMOS‐compatible nanoscale ferroelectricity yet suffers from a high Ec${\rm E}_c$ demanding large operating voltages. A unified phase‐field framework spanning AFE/FE/DE phases shows how FE grains soften neighboring AFE grains over λ$\lambda$ ≈$\approx$ 22–37 nm.
P. Pankaj, Sandeep Sugathan, Jiyoung Kim, Si Joon Kim, Pil‐Ryung Cha   +4 more
wiley   +1 more source