Results 111 to 120 of about 2,419,332 (252)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Distribution Network Optimization and Flexibility Enhancement Based on Power Grid Equipment Maintenance

Energies
With increasing integration of renewable energy, traditional distribution networks face challenges such as low flexibility, poor response speed, and operational inefficiency. To address these issues, this paper proposes a two-layer optimization framework
Runquan He, Manlu Chen, Renli Yang, Fei Chen   +3 more
doaj   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

Methods for designing the next generation of aircraft architectures using topology optimisation [PDF]

, 2010
The need from energy efficient transportation has resulted in a growing interest in new aircraft configurations such as the Blended Wing Body. There is very little collective knowledge on the optimal structural layouts of these aircraft, and the ...
Eves, Jamie Samantha
core   +1 more source

Self-healing mechanism of green computing power network based on GNN and multi-agent reinforcement learning

Dianxin kexue
Green computing power network requires fault self-healing while taking into account the recovery speed and energy efficiency. The existing methods mostly adopt centralized control, lack of topology awareness and distributed collaboration capabilities ...
ZHANG Jianrong
doaj  

A note on stress-constrained truss topology optimization

, 2003
The purpose of this brief note is to demonstrate that general-purpose optimization methods and codes should not be discarded when dealing with stress-constrained truss topology optimization. By using a disaggregated formulation of the considered problem,
Svanberg, Krister,
core   +1 more source

Physics‐Informed Machine Learning for Predicting Phases and Density of Al2O3–TiB2 Composites Synthesized via Laser Ignition From the Al–TiO2–B2O3–H3BO3 Reactive System

Advanced Intelligent Systems, EarlyView.
This interactive physics‐informed machine learning model predicts the composition and density of advanced ceramic materials produced by self‐propagating high‐temperature synthesis. The model requires user input processing parameters and demonstrates high accuracy.
Evangelos Daskalakis, Geeta Sharma, Sarathkumar Loganathan, Andrew Scott, Animesh Jha   +4 more
wiley   +1 more source

A Security‑Aware Collaborative Decision Optimization Algorithm for Multi‑UAV Systems

Shuju Caiji Yu Chuli
This paper addresses the dual challenge of security and robustness in collaborative decision-making for multi-UAV systems operating in dynamic and adversarial environments， where traditional approaches that decouple safety mechanisms from control ...
LI Yizhe, XIE Chenyu, LIU Shuming, WAN Ziheng, WEI Xintan, DONG Lu   +5 more
doaj   +1 more source

Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications

Advanced Physics Research, EarlyView.
Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu, Zeyu Han, Yueyao Wang, Yitao Yu, Mingyang Yin, Yikang Jin, Yongjun Huo, Lihong Gao, Zhuang Ma, Gang Zhang, Miao Jiang   +10 more
wiley   +1 more source

A Joint Chance Constraints Stochastic Model for Reliable Network-Aware IaaS Provisioning in Datacenters

Journal of Engineering Science and Military Technologies
Cloud service providers (CSPs) increasingly confront the challenge of provisioning Infrastructure-as-a-Service (IaaS) amid volatile and bursty request arrivals.
Khalid Metwally
doaj   +1 more source