Results 121 to 130 of about 11,062,938 (291)

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

A note on methods with 0(H4) and 0(H6) phase lags for periodic [PDF]

, 1985
Two families of computational methods are discussed for the solution of second order periodic initial value problems. The first is a family with 0(H4) phase-lag which contains the recently published "Numerov made explicit" method of Chawla [2].
Twizell, E H
core   +1 more source

Multistep Forecasting Method for Offshore Wind Turbine Power Based on Multi-Timescale Input and Improved Transformer

Journal of Marine Science and Engineering
Wind energy is highly volatile, and large-scale wind power grid integration significantly impacts grid stability. Accurate forecasting of wind turbine power can improve wind power consumption and ensure the economy of the power grid.
Anping Wan, Zhipeng Gong, Chao Wei, Khalil AL-Bukhaiti, Yunsong Ji, Shidong Ma, Fareng Yao   +6 more
doaj   +1 more source

ON A MULTISTEP METHOD

ON A MULTISTEP METHOD
For solving the initial value problem : y'=f(x,y), y(x_0)=y_0, stepsize=h, using the idea of quadrature formulas as in (1), for the corrector we use the later part of the formulas, which Prof. W. D. Milne used for corrector of the starting values. We compute the quadrature formulas for five to seven points in terms of ordinates.
openaire   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Improving site selection in clinical studies: a standardised, objective, multistep method and first experience results. [PDF]

BMJ Open, 2017
Hurtado-Chong A, Joeris A, Hess D, Blauth M.   +3 more
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 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

Non‐Equilibrium Synthesis of Whitlockite Assisted by Localized H2O Vapor Pressure

Advanced Science, EarlyView.
A carbon substrate acts as a microheater during intense pulsed light irradiation, enabling rapid heating and cooling for whitlockite formation. In contrast to conventional white ceramic synthesis with weak photothermal response, this platform concentrates thermal energy locally and promotes phase‐selective crystallization under ultrafast ...
Min‐Jung Kim, Minwoo Lee, In‐Ho Jung, Seung‐Kyun Kang, Ji‐Soo Jang, Hyung‐Seop Han   +5 more
wiley   +1 more source