Results 111 to 120 of about 6,176 (255)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Co and postseismic fault slip models of the 2022 MW6.7 Menyuan earthquake reveal conjugated faulting tectonics at the central section of the Lenglongling fault[Key points]

Earthquake Science
The 2022 MW6.7 Menyuan earthquake ruptured the western end of the Tianzhu seismic gap, providing an opportunity to study the regional seismogenic characteristics and seismic hazards.
Zilong He, Wenbin Xu, Zhiwei Li, Lei Xie, Guangcai Feng, Nan Fang, Xiaoge Liu, Kai Sun, Zhidan Chen, Zhihui Zhu   +9 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Improvement of aftershock models based on Coulomb stress changes and rate-state dependent friction [PDF]

, 2015
Earthquake clustering has proven the most useful tool to forecast changes in seismicity rates in the short and medium term (hours to months), and efforts are currently being made to extend the scope of such models to operational earthquake forecasting. The overarching goal of the research presented in this thesis is to improve physics-based earthquake ...
openaire   +2 more sources

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Advances in the spatiotemporal characteristics and mechanisms of earthquake static and dynamic triggering

地球与行星物理论评
The static and dynamic stress changes induced by earthquakes can further trigger seismic events on surrounding or even remote faults. This phenomenon, known as static and dynamic triggering of earthquakes, has significant implications for earthquake ...
Pengchao He, Haoran Meng, Min Wang, Ke Jia, Fengjiang Ju, Bei Wang   +5 more
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

A Novel Milli‐Scale Magnetic Robot Exploiting Rotation for Controlled Magnetic Particles Release

Advanced Intelligent Systems, EarlyView.
Delivering magnetic particles can become a game changer in minimally invasive medicine. To cope with this challenge, a magnetically actuated milli‐scale carrier leveraging rotation to perform on‐demand tunable release of magnetic particles across multiple release events is presented.
Giordano De Angelis, Tamerlan Srymbetov, Arianna Menciassi, Veronica Iacovacci   +3 more
wiley   +1 more source

Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change

Seismica
Most earthquake energy release arises during fault slip many kilometers below the Earth’s surface. Understanding earthquakes and their hazard requires mapping the geometry and distribution of this slip.
Anthony Lomax
doaj   +1 more source

Electrohydrodynamic Fiber Pump With Dual‐Flow Channels

Advanced Intelligent Systems, EarlyView.
A dual‐channel electrohydrodynamic (EHD) fiber pump is introduced, which enables fluid flow inside and outside fully exposed helical electrodes. The dual‐channel design significantly enhances flow rate, pressure, and efficiency compared with the conventional design.
Yuya Shibahara, Rudrajyoti Das, Naoki Ogawa, Hideko Akai, Jun Shintake   +4 more
wiley   +1 more source