Results 91 to 100 of about 30,967 (217)
Multicriteria evaluation of industry-known interfaces of onboard network of CubeSat nanosatellites
Авіаційно-космічна техніка та технологіяThe technology of building CubeSat-class nanosatellites has created a breakthrough in exploring near space for research and education. The availability of commercial solutions for the rapid integration of hardware and software of a CubeSat under ...
Oleksandr Liubimov, Ihor Turkin
doaj +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials, EarlyView.This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu +9 more
wiley +1 more source
Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture
Advanced Materials, EarlyView.This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim +6 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView.Photothermal neuromodulation is a promising technique for versatile neural signal study and treatment development. To further develop these technologies and optimize their effectiveness, transparent electrical temperature sensors with high thermal sensitivity and resolution are essential for accurately monitoring temperature changes during ...
Jee Woong Lee +7 more
wiley +1 more source
Organic Ferroelectric Synaptic Transistors for Neural Image Recognition Networks
Advanced Materials Interfaces, EarlyView.All organic transistors, where both the dielectric and semiconducting layers are polymeric, are developed as electrical synaptic devices. Two copolymers of PVDF as the dielectric layer with large differences in their saturation polarizability and memory window are chosen.
Evan Restuccia +2 more
wiley +1 more source
Design of EEG based thought identification system using EMD & deep neural network
Scientific ReportsBiological communication system for neurological disorder patients is similar to the Brain Computer Interface in a way that it facilitates the connection to the outside world in real time. The interdisciplinary field of Electroencephalogram based message
Rahul Agrawal +8 more
doaj +1 more source
Efficient and Realistic Brain Simulation: A Review and Design Guide for Memristor‐Based Approaches
Advanced Materials Technologies, EarlyView.Memristor‐based emulation of Hodgkin‐Huxley neuron models is investigated, by defining the ideal device characteristics needed for accurate ion‐channel representation and reviewing existing works targeting memristive replication of biological realistic neural behavior.
Lennart Paul Liong Landsmeer +5 more
wiley +1 more source
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Advanced Materials Technologies, EarlyView.Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung +5 more
wiley +1 more source
Green Light Vat‐Photopolymerisation for 3D Printing Hydrogels with Complex Lattice Structures
Advanced Materials Technologies, EarlyView.Green‐light vat‐photopolymerization (gDLP) at 514 nm enables high‐resolution 3D printing of water‐rich hydrogels (60% water) with 50 μm$\umu{\rm m}$ layer precision. This study pioneers a cost‐effective, modified desktop printer and novel bioresins to fabricate complex vascularized lattices.
Livia M. Kalossaka +4 more
wiley +1 more source
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
Advanced Materials Technologies, EarlyView.A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng +2 more
wiley +1 more source