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《科学大讲堂 第259期》Prof. Ivan Bozovic:21世纪炼金术:量子材料的数字合成

以下内容根据公开信息整理,并经大模型处理生成,可能存在疏漏或误差,请以实际信息为准。

  • 题目: 21世纪炼金术:量子材料的数字合成
  • 主讲人:Prof. Ivan Bozovic @ 美国布鲁克海文国家实验室
  • 时间:2026年10月29日 14:00-15:00
  • 地点:理学院一楼物理系P1078报告厅

主讲人简介

Ivan Bozovic is a Member of the European Academy of Sciences, a Foreign Member of the Serbian Academy of Science and Arts, Professor Honoris Causa of the University of Montenegro, a Fellow of the American Physical Society (APS), and a Fellow of the International Society for Optics and Photonics (SPIE). He received the APS McGroddy Prize for Materials Physics, the Bernd Matthias Prize for Superconducting Materials, the SPIE Technology Award, M. Jaric Prize, BNL Science and Technology Prize, etc., and was Max Planck Lecturer, Van der Waals Lecturer, and (twice) Gordon and Betty Moore Foundation Principal Investigator. His research interests include fundamental physics of condensed states of matter, novel electronic phenomena including unconventional superconductivity, innovative methods of thin film synthesis and characterization, and nano-scale physics. He published 11 research monographs and over 350 research papers, including 35 in Science and Nature journals.

讲座简介

Atomic-layer-by-layer molecular beam epitaxy (ALL-MBE) is a technique for synthesizing functional quantum materials, including high-temperature superconductors (HTS), other complex oxides, 2D Dirac materials such as borophene and beryllene, and novel metastable compounds. Several examples will be presented of ALL-MBE alchemy — the creation of artificial materials with novel and unique electronic properties that cannot be synthesized by standard methods. The ability to engineer the materials at a (sub)monolayer level has also enabled discoveries of novel physical phenomena in HTS cuprates and beyond. One grand goal is to engineer a material that superconducts at room temperature and ambient pressure. Another is an HTS-based, desktop-size neuromorphic computer, comparable to a human brain in neuron count (10-100 B) and power consumption (10 W), as the ultimate platform for Artificial Intelligence of the future.

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上次更新: 2026/10/30 23:51
贡献者: Ziqiang Li