Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao +6 more
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Hybrid GA-SQP neural network frame for solving english language learning. [PDF]
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Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid. [PDF]
Fatima A, Asjad MI, Aslam MN, Riaz MB.
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Machine Learning-Based Prediction of Textural Properties and Nonlinear Regulatory Pattern Analysis of 3D-Printed Dough Containing Konjac Glucomannan. [PDF]
Leng W, Sun Y, Xie J, Pang J.
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Optimized inverse kinematics solutions for a 6-DOF robot. [PDF]
Bayoume MO +3 more
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash. [PDF]
Kazemi R, Pour MA, Gandomi AH.
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Physics-Informed Modified Kolmogorov-Arnold Network for CO Concentration Prediction in Gob Areas of Coal Spontaneous Combustion. [PDF]
Li Z, Hou J, Han L, Wang X.
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Numerical methods of nonlinear optimal control based on mathematical programming
Nonlinear Analysis: Theory, Methods & Applications, 1997In the first half of this paper, we study a primal-dual interior-point algorithm for convex quadratic programming problems in Hilbert space with the object of direct application to continuous-time LQ optimal control problems. Since our problems are infinite-dimensional, it is impossible in general to solve exactly the linear equations for finding a ...
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