Results 141 to 150 of about 2,904,995 (278)

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Virtual black holes from the generalized uncertainty principle and proton decay

, 2017
We investigate the formation of virtual black holes in the context of the generalized uncertainty principle (GUP), as a mediator for a proton decay process which is forbidden by the standard model.
Abeer Al-Modlej, Ahmed Farag Ali, Salwa Alsaleh   +2 more
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

The generalized uncertainty principle. New bounds and trends

Classical and Quantum Gravity
Abstract The Heisenberg uncertainty principle is one of the fundamental pillars of quantum mechanics and quantum field theory. It is usually introduced through the canonical commutation relations
Ezequiel Valero, Hector Gisbert, Victor Ilisie   +2 more
openaire   +3 more sources

Rod Origami (RodOri) Spring Metamaterials for Tunable Vibration Control via Tailored Structural Instabilities

Advanced Science, EarlyView.
Rod Origami (RodOri) springs harness snap‐through instabilities of pre‐stressed curved rods with geometrically programmable buckling behavior. Integrating RodOri springs with distinct geometries yields multistable metamaterials that undergo stepwise reconfiguration via sequential snapping, achieving wide‐range tunability of stiffness and resonance ...
Jeseung Lee, Sophie Leanza, Ruike Renee Zhao   +2 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Real‐Time Ferroelectric Domain Wall Dynamics During Electric Poling and Depoling

Advanced Science, EarlyView.
Real‐time visualization of domain wall dynamics during alternating‐current poling, direct‐current poling, and electrical depoling in relaxor‐PT ferroelectric single crystals reveals distinct field‐dependent pathways and strong path dependence. Instant polarized light microscopy uncovers reversible domain wall nucleation, motion, and reconfiguration ...
Ziqi Wang, Zhengze Xu, Anastasia Timofeeva, Hossam Elnaggar, Sipan Liu, Yusen Pei, Reece Henry, Brendan O'Connor, Eunkyoung Shim, Franky So, Kara Peters, Xiaoning Jiang, Jun Liu   +12 more
wiley   +1 more source

Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction

Advanced Science, EarlyView.
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen, Bapan Biswas, Apinya Ngoipala, Julia Wiktor, Ujjwal Pal, Shalini Singh   +5 more
wiley   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source