[HTML][HTML] Generative artificial intelligence and its applications in materials science: Current situation and future perspectives
Y Liu, Z Yang, Z Yu, Z Liu, D Liu, H Lin, M Li, S Ma… - Journal of …, 2023 - Elsevier
Abstract Generative Artificial Intelligence (GAI) is attracting the increasing attention of
materials community for its excellent capability of generating required contents. With the …
materials community for its excellent capability of generating required contents. With the …
Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling
Physiologically based pharmacokinetic (PBPK) models are useful tools in drug development
and risk assessment of environmental chemicals. PBPK model development requires the …
and risk assessment of environmental chemicals. PBPK model development requires the …
Pattern recognition with neuromorphic computing using magnetic field–induced dynamics of skyrmions
Nonlinear phenomena in physical systems can be used for brain-inspired computing with
low energy consumption. Response from the dynamics of a topological spin structure called …
low energy consumption. Response from the dynamics of a topological spin structure called …
Fundamental physics and applications of skyrmions: A review
Beyond-CMOS computational paradigms are necessary to solving the problems that we face
with modern computers in achieving scalability, low energy consumption, reduced latency …
with modern computers in achieving scalability, low energy consumption, reduced latency …
[HTML][HTML] A perspective on physical reservoir computing with nanomagnetic devices
Neural networks have revolutionized the area of artificial intelligence and introduced
transformative applications to almost every scientific field and industry. However, this …
transformative applications to almost every scientific field and industry. However, this …
Feedback-driven quantum reservoir computing for time-series analysis
Quantum reservoir computing (QRC) is a highly promising computational paradigm that
leverages quantum systems as a computational resource for nonlinear information …
leverages quantum systems as a computational resource for nonlinear information …
A Coupled Spintronics Neuromorphic Approach for High‐Performance Reservoir Computing
The rapid development in the field of artificial intelligence has increased the demand for
neuromorphic computing hardware and its information‐processing capability. A spintronics …
neuromorphic computing hardware and its information‐processing capability. A spintronics …
[HTML][HTML] Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models
Nanoparticles (NPs) can be designed for targeted delivery in cancer nanomedicine, but the
challenge is a low delivery efficiency (DE) to the tumor site. Understanding the impact of …
challenge is a low delivery efficiency (DE) to the tumor site. Understanding the impact of …
Information processing capacity of spintronic oscillator
Physical reservoir computing is a framework that enables energy‐efficient information
processing by using physical systems. Nonlinear dynamics in physical systems provide a …
processing by using physical systems. Nonlinear dynamics in physical systems provide a …
Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system
Physical reservoirs holding intrinsic nonlinearity, high dimensionality, and memory effects
have attracted considerable interest regarding solving complex tasks efficiently. Particularly …
have attracted considerable interest regarding solving complex tasks efficiently. Particularly …