Nobel laureate Novoselov shares in Shanghai: using AI to reverse-engineer material synthesis parameters
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Nobel Prize laureate in Physics Konstantin Novoselov shared his insights on using AI to design materials at the 2026 World Laureates Forum · Future Energy Conference, advocating for incorporating the synthesis stage into the research process—monitoring intermediate products, modeling reactions, and then using AI to reverse-engineer the synthesis parameters required for target materials. He pointed out that the old paradigm only correlates structure and performance, while neglecting whether a material can actually be synthesized.
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今天举行的2026世界顶尖科学家论坛·未来能源大会上，诺贝尔物理学奖得主、新加坡国立大学功能智能材料研究所所长康斯坦丁·诺沃肖洛夫分享了用AI设计材料的心得。 他指出，旧的科研范式只关联结构与性能，却忽视材料能否被合成，应把合成纳入流程，监测中间产物、建模反应，用AI反推目标材料所需的合成参数。“然后，希望你们把这些数据全部喂给AI，让AI可以预测出：要选择哪一类合成参数，才能得到具备特定性质的那种材料。”