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most citedRevealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective

38 citations

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cond-mat.mtrl-sci20261 cited

Ferrimagnetic Skyrmions in a Tetragonal Mn1.9Co0.1Sb Single Crystal at Room Temperature

Huanhuan Zhang, YaJiao Ke, Weiwei Wang +10

The development of room temperature small-sized ferrimagnetic skyrmion materials is significant for topological spintronic device applications. As a room temperature ferrimagnetic…

cond-mat.mtrl-sci20261 cited

Enhanced Curie temperature and room-temperature 50-nm skyrmions achieved in hexagonal ferromagnet Mn5Ge3+x synthesized via a high-pressure method

Yongsen Zhang, Wei Liu, Meng Shi +14

The development of new high-temperature ultrasmall-size skyrmion materials holds immense significance for the promising applications of topological spintronic devices. In this stud…

cond-mat.mtrl-sci2026

TXL Fusion: A Hybrid Machine Learning Framework Integrating Chemical Heuristics and Large Language Models for Topological Materials Discovery

Arif Ullah, Rajibul Islam, Yangming Huang +4

The paper presents TXL Fusion, a hybrid machine‑learning system that combines chemical heuristics, physics‑based descriptors, and large language model embeddings to classify and pr…

cond-mat.mtrl-sci2026

Quantum-inspired Chemical Rule for Discovering Topological Materials

Xinyu Xu, Rajibul Islam, Ghulam Hussain +5

Topological materials exhibit unique electronic structures that underpin both fundamental quantum phenomena and next-generation technologies, yet their discovery remains constraine…

cond-mat.mtrl-sci2026

Room-Temperature Noncolinear Ferroelectricity in van der Waals WOCl with a Wide Bandgap

Yu Xing, Ning Ding, Zhipeng Wang +21

Low-dimensional ferroelectrics are attractive for their promising prospects in nanoelectronics. Compared with widely-used ferroelectric perovskites, most low-dimensional ferroelect…

cond-mat.mtrl-sci2026

Differentiable hybrid force fields support scalable autonomous electrolyte discovery

Xintian Wang, Junmin Chen, Zhuoying Zhu +1

Autonomous electrolyte discovery demands a computational engine that satisfies a critical trilemma: it must be fast enough for high-throughput screening, accurate enough for quanti…