Results 61 to 70 of about 3,595 (212)

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Phase portraits of cubic polynomial Kolmogorov differential systems having a rational first integral of degree three

Journal of Mathematical Physics
We classify all global phase portraits in the Poincaré disc of the cubic polynomial Kolmogorov differential systems having a well-defined rational first integral of degree three at the origin. For such differential systems there are exactly two different global phase portraits up to a reversal of the sense of their orbits.
Jaume Llibre, Renhao Tian
openaire   +3 more sources

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

Advanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source

The Prognostic Impact of Multiple Adverse Events on Long‐Term Mortality Following Acute Myocardial Infarction

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background Adverse events after acute myocardial infarction (AMI) are individually associated with poor outcomes, but the prognostic impact of the overlap of different event types occurring sequentially within the same patient remains uncertain.
Kyung Hoon Roh, Yong Hee Kim, Eun Ho Choo, Kwan Yong Lee, Ik Jun Choi, Jong‐Min Lee, Ki‐Dong Yoo, Mahn‐Won Park, Chul Soo Park, Hee‐Yeol Kim, Min Chul Kim, Youngkeun Ahn, Kiyuk Chang   +12 more
wiley   +1 more source

Rational Design of Inverted F‐Type Heterojunctions for Photocatalytic Emerging Contaminant Degradation

Carbon Energy, EarlyView.
The inverted F‐type ZnWO4/In2S3 heterojunction enables efficient charge separation and retention of strong oxidative capability through interfacial electric field regulation, leading to non‐toxic degradation of contaminants for sustainable water treatment.
Yanxian Jin, Yali Du, Huiqing Lv, Sónia A.C. Carabineiro, Chenglin Wu, Min‐Quan Yang, Yu‐Ming Zheng, Xianqiang Xiong, Zhangxin Chen, Bo Weng   +9 more
wiley   +1 more source

Self‐Similar Blowup for the Cubic Schrödinger Equation

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We give a rigorous proof for the existence of a finite‐energy, self‐similar solution to the focusing cubic Schrödinger equation in three spatial dimensions. The proof is computer‐assisted and relies on a fixed point argument that shows the existence of a solution in the vicinity of a numerically constructed approximation.
Roland Donninger, Birgit Schörkhuber
wiley   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Some classes of polynomial bidimensional cubic differential systems with the symmetry axis

, 2019
The autonomous bidimensional polynomial cubic systems of differential equations with pure imaginary eigenvalues of the Jacobian matrix at the singular point 0, 0 are considered in this paper. For these cubic systems the necessary and sufficient GL2,R-invariant conditions to having the symmetry axis, which passes through the origin of the coordinates of
Calin, I.T., Baltag, V.A.
openaire   +1 more source

What Drives CSR Performance: Structures, Declarations or Values?

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Sustainability and corporate social responsibility (CSR) are increasingly central to strategic management, yet a gap persists between formal commitments and actual practice. The study explores the structural and value‐based predictors of the institutional integration of CSR and sustainability, with a focus on the mediating role of the CSR ...
Pavla Vrabcová, Lukáš Falát, Hana Urbancová, Peter Madzík   +3 more
wiley   +1 more source