
LK-99 - Wikipedia
LK-99 (from the Lee-Kim 1999 research), [2] also called PCPOSOS, [3] is a gray–black, polycrystalline compound, identified as a copper-doped lead‒oxyapatite. A team from Korea University led by Lee Sukbae ( 이석배 ) and Kim Ji-Hoon ( 김지훈 ) began studying this material as a potential superconductor starting in 1999.
Sukbae LEE | C.E.O & Researcher | Doctor of Engineering | R&D ...
Sukbae LEE, C.E.O & Researcher | Cited by 15 | | Read 1 publication | Contact Sukbae LEE
Sokbae (Simon) Lee - Google Scholar
Falling home bias in fixed‐effects models of patent citations.
The First Room-Temperature Ambient-Pressure Superconductor
2023年7月22日 · View a PDF of the paper titled The First Room-Temperature Ambient-Pressure Superconductor, by Sukbae Lee and 2 other authors View PDF Abstract: For the first time in the world, we succeeded in synthesizing the room-temperature superconductor ($T_c \ge 400$ K, 127$^\circ$C) working at ambient pressure with a modified lead-apatite (LK-99) structure.
Sokbae LEE | Professor | PhD | Seoul National University, Seoul
Sokbae LEE, Professor | Cited by 1,934 | of Seoul National University, Seoul (SNU) | Read 50 publications | Contact Sokbae LEE
「首个室温常压超导体」!127度以下常压都能实现超导,有原子 …
2023年7月26日 · 超导量子阱 (Superconducting Quantum Well,简称SQW)是一种人工制备的薄膜纳米结构,它利用量子约束效应产生量子化的能级,从而提高超导转变温度。 然后通过热容实验,研究人员验证了LK-99具备室温常压超导能力。 具体来看,他们在389K(约125℃)下进行试验,出现了电压等于0的情况,由此认为在这一条件下电阻等于0. 作者还测试了样品的零电阻效应、临界电流和磁场的变化关系等,来论证LK-99具有超导性。 此外,他们还展示了LK-99样品 …
首个室温常压超导掀全球热度,数万人围观这个中国团队的复现进 …
2023年7月28日 · 研究团队(三人版本论文)中的 Sukbae Lee 和 Ji-Hoon Kim 来自一家叫做量子能源研究中心(Quantum Energy Research Centre)的公司,其中一作 Sukbae Lee 为公司 CEO 兼研究员,长期从事高温超导方向的物理研究;二作 Ji-Hoon Kim 为公司研究员,主要负责样品合成工作;三作 Young ...
李硕裴 - 百度百科
李硕裴(Sukbae Lee),韩国室温超导研究团队成员。
Sokbae "Simon" Lee - Google Sites
"Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors" (with Sungyoon Lee), June 2024. "Bounding Treatment Effects by...
Sokbae (Simon) Lee | Department of Economics at Columbia …
Leveraging Big Data to Manage Extreme Weather Risks?