36 citations · 134 across the 12 of their papers we have counts for
14 papers
MoMaTune: Model, Match, Then Tune Language Models for Numerical Records
Weimin Lyu, Jingfen Zhang, Lingdao Sha +4
Despite remarkable progress in language understanding and generation, decoder language models continue to exhibit striking failures on numerical data. Numerical examples are typica…
Progress and Prospect of AI in ARPES Workflow
Sandy Adhitia Ekahana, Aalok Tiwari, Pratik Saud +4
Artificial intelligence (AI) is becoming an increasingly useful tool across the experimental sciences, including angle-resolved photoemission spectroscopy (ARPES), which routinely…
Element-Specific Visualization of Layer-Parity and Twist-Dependent Magnetism in CrSBr
Aalok Tiwari, Shubhada Patil, Ravi Kumar Bandapelli +16
Van der Waals (vdW) based antiferromagnets (AFMs) are an ideal platform for probing and understanding thickness- and twist-angle-dependent emergent spin phenomena. However, element…
Electrically tunable interfacial thermal conduction via electronic structure engineering in / topological insulators
Min Young Kim, Joon Sang Kang, Jangwoo Ha +8
This work provides direct experimental evidence for the role of topological interface states in thermal conduction across a metal/topological insulator junction. It also shows that…
Visualization of Tunable Electronic Structure of Monolayer TaIrTe
Sandy Adhitia Ekahana, Aalok Tiwari, Souvik Sasmal +16
Monolayer TaIrTe is an ideal platform to explore the tunability of band topology where charge doping converts the quantum spin Hall insulator (QSHI) state into a dual QSHI stat…
Van der Waals devices for surface-sensitive experiments
Nicolai Taufertshöfer, Corinna Burri, Rok Venturini +11
In-operando characterization of van der Waals (vdW) devices using surface-sensitive methods provides critical insights into phase transitions and correlated electronic states. Yet,…
In-plane Antiferromagnetism in Ferromagnetic Kagome Semimetal Co3Sn2S2
Sandy Adhitia Ekahana, Satoshi Okamoto, Jan Dreiser +5
Co3Sn2S2 has been reported to be a Weyl semimetal with broken time-reversal symmetry with c axis ferromagnetism (FM) below a Curie temperature of 177 K. Despite the large interest…
Robust room temperature ferromagnetism in an itinerant van der Waals antiferromagnet
Longyu Lu, Qing Wang, Hengli Duan +16
The coexistence of antiferromagnetic and ferromagnetic order at room temperature in single-phase van der Waals materials, particularly within the two-dimensional limit, has attract…
Transfer Learning Application of Self-supervised Learning in ARPES
Sandy Adhitia Ekahana, Genta Indra Winata, Y. Soh +3
Recent development in angle-resolved photoemission spectroscopy (ARPES) technique involves spatially resolving samples while maintaining the high-resolution feature of momentum spa…
Anomalous quasiparticles in the zone center electron pocket of the kagomé ferromagnet Fe3Sn2
Sandy Adhitia Ekahana, Y. Soh, Anna Tamai +14
One material containing kagome bilayers and featuring both exceptional magnetism and electron transport is the ferromagnetic metal Fe3Sn2. Notwithstanding the widespread interest i…
Giant Chern number of a Weyl nodal surface without upper limit
Junzhang Ma, S. -N. Zhang, J. P. Song +15
Weyl nodes can be classified into zero-dimensional (0D) Weyl points (WPs), 1D Weyl nodal lines (WNL) and 2D Weyl nodal surfaces (WNS), which possess finite Chern numbers. Up to dat…
Observation of a singular Weyl point surrounded by charged nodal walls in PtGa
J. -Z. Ma, Q. -S. Wu, M. Song +17
Constrained by the Nielsen-Ninomiya no-go theorem, in all so-far experimentally determined Weyl semimetals (WSMs) the Weyl points (WPs) always appear in pairs in the momentum space…
Observation of inverted band structure in topological Dirac-semimetal candidate CaAuAs
Kosuke Nakayama, Zhiwei Wang, Daichi Takane +13
We have performed high-resolution angle-resolved photoemission spectroscopy of ternary pnictide CaAuAs which is predicted to be a three-dimensional topological Dirac semimetal (TDS…
Super Resolution Convolutional Neural Network for Feature Extraction in Spectroscopic Data
Han Peng, Xiang Gao, Yu He +8
Two dimensional (2D) peak finding is a common practice in data analysis for physics experiments, which is typically achieved by computing the local derivatives. However, this metho…