Results 131 to 140 of about 275,111 (343)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
We investigate the spin-charge-induced scalarization of Kerr–Newman (KN) black holes in the Einstein–Maxwell-scalar (EMS) theory with a scalar potential and positive coupling parameter.
Xiang Luo +4 more
doaj +1 more source
Well-posedness in vector optimization and scalarization results [PDF]
In this paper, we give a survey on well-posedness notions of Tykhonov's type for vector optimization problems and the links between them with respect to the classification proposed by Miglierina, Molho and Rocca in [33].
Rocca Matteo, Papalia Melania
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Measuring the Hall Effect in Hysteretic Materials
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Charged qOS-extremal black hole and its scalarization by entropy function approach
We investigate scalarization of charged quantum Oppenheimer–Snyder extremal (cqOSe)-black hole described by mass M, quantum parameter $$\alpha $$ α and magnetic charge P in the Einstein–Gauss–Bonnet-scalar theory with a nonlinear electrodynamics term ...
Yun Soo Myung
doaj +1 more source
On Insurer Portfolio Optimization. An Underwriting Risk Model [PDF]
Multicriteria portfolio optimization started with the Markowitz mean-variance model (Markowitz 1952, 1959). This model assumes that the goal of an average or standard investor is to maximize the unknown return on investment.
Preda, Vasile, Ciumara, Roxana
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Co1/3TaS2${\rm Co}_{1/3}{\rm TaS}_{2}$ hosts a triple‐Q noncoplanar antiferromagnetic state with coexisting Z3${\rm Z}_3$ electronic nematicity. We report rotational hysteresis observed in both magnetoresistance and magnetic torque, revealing strongly pinned in‐plane weak ferromagnetic moments in the triple‐Q phase and the magnetism‐driven nature of ...
Joonyoung Choi +5 more
wiley +1 more source
TESCLA (tubular electromagnetic soft conformal linear actuator) combines liquid‐metal solenoids and compliant magnetic composites to achieve large‐stroke bidirectional actuation with continuous bending. Integrated inductance‐based self‐sensing enables proprioceptive position estimation without external sensors, providing a versatile platform for soft ...
Yeongjin Choi +3 more
wiley +1 more source
PERFECT SCALARS ON THE LATTICE [PDF]
We perform renormalization group transformations to construct optimally local perfect lattice actions for free scalar fields of any mass. Their couplings decay exponentially. The spectrum is identical to the continuum spectrum, while thermodynamic quantities have tiny lattice artifacts.
openaire +3 more sources
Increase-along-rays property for vector functions [PDF]
In this paper we extend to the vector case the notion of increasing along rays function. The proposed definition is given by means of a nonlinear scalarization through the so-called oriented distance function from a point to a set.
Rocca Matteo +2 more
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