3 papers
cond-mat.mtrl-sci2026
Magnetic field-induced non-trivial Lifshitz transition in TaCo2Te2
Suman Kalyan Pradhan, Xiaoming Ma, Jicheng Wang +14
Magnetic-field-driven Lifshitz transitions are typically considered zero-temperature phenomena involving Fermi-surface reconstruction without symmetry breaking. Here, we report an…
cond-mat.mes-hall2025
Layer-dependent field-free switching of Néel vector in a van der Waals antiferromagnet
Haoran Guo, Zhongchong Lin, Jinhao Lu +12
Two-dimensional antiferromagnets, combining the dual advantages of van der Waals (vdW) and antiferromagnetic materials, provide an unprecedented platform for exploring emergent spi…
cond-mat.dis-nn2025
A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption
Chang Niu, Huanyu Zhang, Chuanlong Xu +14
Physical neural networks using physical materials and devices to mimic synapses and neurons offer an energy-efficient way to implement artificial neural networks. Yet, training phy…