Results 161 to 170 of about 1,900 (308)

Extreme‐Thickness Meta‐Membrane for Controlling Terahertz Vectorial Beams

Advanced Science, EarlyView.
We propose ultra‐thin (λ/30) transmissive terahertz metasurfaces combining near‐field resonant and detour phases in coupled‐slit meta‐atoms, enabling continuous phase and polarization control beyond conventional designs. Based on leaky‐mode theory, scalar and vectorial terahertz Bessel beams at 0.39 THz are experimentally demonstrated, with ...
Yufei Song, Yixiang Xu, Yikai Xu, Yuanxi Liu, Shaojie Ma, Qiong He, Zhuo Wang, Lei Zhou   +7 more
wiley   +1 more source

Spontaneous scalarization and dynamical evolution of black holes in scalar-Gauss-Bonnet gravity

European Physical Journal C: Particles and Fields
We investigate the nonlinear dynamics of black holes in an Einstein-scalar-Gauss-Bonnet (EsGB) gravity theory where a real scalar field couples to both the Gauss-Bonnet invariant and the Ricci scalar through a higher-order coupling function.
Xiangbao Ye, Yunqi Liu, Cheng-Yong Zhang
doaj   +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

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

Approximate Solutions to the Multiple-Choice Knapsack Problem by Multiobjectivization and Chebyshev Scalarization [PDF]

Operations Research and Decisions
The method BISSA, proposed by Bednarczuk, Miroforidis, and Pyzel, provides approximate solutions to the multiple-choice knapsack problem. To fathom the optimality gap that is left by BISSA, we present a method that starts from the BISSA solution and it ...
Ewa M. Bednarczuk, Ignacy Kaliszewski, Janusz Miroforidis   +2 more
doaj  

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Computer-aided multi-objective optimization in small molecule discovery. [PDF]

Patterns (N Y), 2023
Fromer JC, Coley CW.
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Adaptive scalarization methods in multiobjective optimization

, 2008
This book presents adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarization approaches.
Eichfelder, Gabriele
core  

Scalarization and pointwise well-posedness in vector optimization problems

Nonlinear scalarization function, Vector optimization problem, Efficient solution, Well-posedness, Minimizing sequence,
Hong Xiao, Gang Xiao, Sanyang Liu
core   +1 more source