78 citations · 150 across the 8 of their papers we have counts for
8 papers
Slidephononics: Tailoring Thermal Transport Properties by van der Waals Sliding
Linfeng Yu, Chen Shen, Guangzhao Qin +1
By interlayer sliding in van der Waals (vdW) materials, the switching electric polarization of ultrathin ferroelectric materials leads to the widely studied slidetronics. In this w…
Accelerated Screening of Ternary Chalcogenides for High-Performance Optoelectronic Materials
Chen Shen, Tianshu Li, Yixuan Zhang +7
Chalcogenides, which refer to chalcogen anions, have attracted considerable attention in multiple fields of applications, such as optoelectronics, thermoelectrics, transparent cont…
Designing magnetocaloric materials for hydrogen liquefaction with light rare-earth Laves phases
Wei Liu, Tino Gottschall, Franziska Scheibel +6
Magnetocaloric hydrogen liquefaction could be a "game-changer" for liquid hydrogen industry. Although heavy rare-earth-based magnetocaloric materials show strong magnetocaloric eff…
High-throughput screening of Half-antiperovskites with a stacked kagome lattice
Harish K. Singh, Amit Sehrawat, Chen Shen +4
Half-antiperovskites (HAPs) are a class of materials consisting of stacked kagome lattices and thus host exotic magnetic and electronic states. We perform high-throughput calculati…
Tunable anomalous Hall and Nernst effects in MM'X compounds
Ilias Samathrakis, Nuno Fortunato, Harish K. Singh +2
Based on first-principles calculations, the anomalous Hall (AHC) and anomalous Nernst conductivities (ANC) of the XMnP (X=Ti, Zr, Hf) compounds were evaluated, and the possibility…
A study on rare-earth Laves phases for magnetocaloric liquefaction of hydrogen
Wei Liu, Eduard Bykov, Sergey Taskaev +10
We are witnessing a great transition towards a society powered by renewable energies to meet the ever-stringent climate target. Hydrogen, as an energy carrier, will play a key role…
Thermodynamical and topological properties of metastable Fe3Sn
Ilias Samathrakis, Chen Shen, Kun Hu +5
Combining experimental data, first-principles calculations, and Calphad assessment, thermodynamic and topological transport properties of the Fe-Sn system were investigated. Densit…
Machine learning-enabled high-entropy alloy discovery
Ziyuan Rao, PoYen Tung, Ruiwen Xie +14
High-entropy alloys are solid solutions of multiple principal elements, capable of reaching composition and feature regimes inaccessible for dilute materials. Discovering those wit…