This work engineered a bi‐heterojunction noise‐enhanced negative transconductance (BHN‐NTC) transistor using a half‐PTCDI‐C13 layer, achieving expanded and tunable noise characteristics. This advancement enables efficient multi‐bit TRNGs for AI‐driven image generation and enhances logic circuit applications.
Youngmin Han+6 more
wiley +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
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
Skew Dyck paths with catastrophes [PDF]
Helmut Prodinger
doaj +1 more source
A dose voxel kernel method for rapid reconstruction of out-of-field neutron dose of patients in pencil beam scanning (PBS) proton therapy. [PDF]
Yeom YS+5 more
europepmc +1 more source
Effect of Measurement Method and Moisture Content on Wheat Kernel Density Measurement [PDF]
C. Fang, Grant M. Campbell
openalex +1 more source
Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture
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
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods [PDF]
Nello Cristianini, John Shawe‐Taylor
openalex +1 more source
A point collocation method based on reproducing kernel approximations [PDF]
N. R. Aluru
openalex +1 more source
Functionalized Antifouling Polymer Brushes for Biospecific Surfaces
Modern biosensors offer high sensitivity but often struggle with long‐term stability and selectivity for specific targets. Antifouling polymer brushes help enhance both stability and selectivity. In this review, we compare recent antifouling coatings, their design parameters, and how they are integrated with biorecognition elements for improved ...
Erik J. Postma+4 more
wiley +1 more source
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
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