Results 201 to 210 of about 324,009 (309)

Biomolecular Interaction Prediction: The Era of AI

Advanced Science, EarlyView.
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley   +1 more source

More than just life and death: advances in imaging and analysis for 3D-bioprinted tissues. [PDF]

Front Bioeng Biotechnol
Spiller ER, Duarte Campos DF.
europepmc   +1 more source

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

Advanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu, Lifang Hu, RuoXuan Zhao, ZhiYong Hou, JinYu Tian   +4 more
wiley   +1 more source

Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks

Advanced Electronic Materials, EarlyView.
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone, Meng Tang, Daniel N. Rahimi, Xuecui Zou, Dongxing Zheng, Hossein Fariborzi, Xixiang Zhang, Gianluca Setti   +7 more
wiley   +1 more source

Artificial Intelligence for Prognosis of Gastro-Entero-Pancreatic Neuroendocrine Neoplasms. [PDF]

Cancers (Basel)
Merola E, Fanciulli G, Pes GM, Dore MP.
europepmc   +1 more source

Block-wise sparse matrix-vector product dataset and convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product

, 2020
M. Barreda, Manuel F. Dolz, M. Asunción Castaño   +2 more
openalex   +2 more sources

State‐of‐the‐Art Machine Learning Technology for Sustainable Lithium Battery Cathode Design: A Perspective

Advanced Energy Materials, EarlyView.
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem, Leon L. Shaw, Zhiqian Chen, Wei Lai   +3 more
wiley   +1 more source

Performance enhancement of deep learning based solutions for pharyngeal airway space segmentation on MRI scans. [PDF]

Sci Rep
Leeraha C, Kusakunniran W, Yodrabum N, Chaisrisawadisuk S, Vathanophas V, Siriapisith T.   +5 more
europepmc   +1 more source

TEC-CNN: Towards Efficient Compressing Convolutional Neural Nets with Low-rank Tensor Decomposition [PDF]

Yifan Wang, Liang Feng, Fenglin Cai, Lusi Li, Rui Wu, Jie Li   +5 more
openalex   +1 more source

Detection and Quantification of Over‐Humidification in Polymer Electrolyte Fuel Cells: Insights into Simulation, Imaging, and Sensors

Advanced Energy and Sustainability Research, EarlyView.
This review highlights advanced methods for detecting and managing over‐humidification in polymer electrolyte fuel cells (PEFCs), emphasizing innovative sensors, simulation techniques, and imaging methods. By addressing the impact of water management on fuel‐cell performance and durability, this study outlines practical and sustainable solutions for ...
Maximilian Käfer, Viktor Hacker, Merit Bodner   +2 more
wiley   +1 more source