Results 41 to 50 of about 14,108,597 (163)

Thermal‐Driven Diode Polarity Switching From Competing Helical Superconducting States in WTe2/α‐Fe2O3 Heterostructures

Advanced Materials, EarlyView.
A Nb‐proximitized Josephson junction based on a WTe2/α‐Fe2O3 heterostructure exhibits a robust superconducting diode effect with programmable polarity. The diode direction can be trained by magnetic fields and switched by temperature cycling, revealing tunable finite‐momentum pairing states and competing superconducting states in symmetry‐broken ...
Enze Zhang, Grant Z. X. Yang, Zi‐Ting Sun, Xinhou Chen, Shishun Zhao, Chufan Chen, Chenhui Zhang, Fanrui Hu, K. T. Law, Hyunsoo Yang   +9 more
wiley   +1 more source

Evaluation of Automated Machinery Functional Safety Risk Assessment Using LLMs

IEEE Access
Accurate classification of required Performance Level (PLr) for hazard scenarios in machinery functional safety risk assessment demands expert-level interpretation of technical standards (e.g.
Padma Iyenghar, Zaher Mansour, Juergen Wuebbelmann   +2 more
doaj   +1 more source

Nondeterministic Decision Rules in Classification Process [PDF]

, 2011
In the paper, we discuss nondeterministic rules in decision tables, called the second type nondeterministic rules. They have a few decisions values on the right hand side but on the left hand side only one attribute that has two values.
Paszek, P., Piotr Paszek, Marszał-Paszek, B., Barbara Marszał-Paszek   +3 more
core   +1 more source

Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films

Advanced Materials, EarlyView.
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford, Anne Flechsig, Shilei Ding, Emir Karadža, Niklas Kercher, Tobias Goldenberger, Elisabeth Müller, Pietro Gambardella, Laura J. Heyderman, Aleš Hrabec   +9 more
wiley   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

Granules for Association Rules and Decision Support in the getRNIA System [PDF]

This paper proposes granules for association rules in Deterministic Information Systems (DISs) and Non-deterministic Information Systems (NISs). Granules for an association rule are defined for every implication, and give us a new methodology for ...
6421, 60201513, Sakai, Hiroshi, 19580, Nakata, Michinori, Wu, Mao, 19582, Yamaguchi, Naoto, 19581, サカイ, ヒロシ, 54968949800, 酒井, 浩   +11 more
core   +1 more source

Layered Spin‐Crossover Metal‐Organic Frameworks for Light‐Induced Control of Two‐Dimensional Quantum Materials

Advanced Materials, EarlyView.
Spin‐crossover metal‐organic frameworks (SCO‐MOFs) provide a route to control the electronic and magnetic properties of two‐dimensional quantum materials. By integrating a layered SCO‐MOFs with graphene, CrSBr, and NbSe2 nanodevices, thermally and light induced spin transitions induce strain that reversibly modulates charge transport, magnetic memory ...
Carla Boix‐Constant, Alejandro Orellana‐Silla, José Antonio Real, Samuel Mañas‐Valero, Eugenio Coronado   +4 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

A Two-Stage PPO–RLMPA Framework for Dynamic Economic Dispatch with Renewable Energy and Storage Integration

Biomimetics
The Dynamic Economic Dispatch (DED) problem underpins the cost-efficient and reliable operation of modern power systems, yet valve-point loading, ramp-rate coupling, and the growing share of intermittent wind, photovoltaic, and pumped-storage hydro (PSH)
Kemal Keskin
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source