Sample-efficient active learning for materials informatics using integrated posterior variance

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Chile is like a giant laboratory for unstable winds. When the jet stream crosses the Pacific, it slams into the Andes at an almost perfect right angle. On the Chilean side, the climate is sunny, stable, and dry. On the Argentinean side, fierce winds rise and fall above the peaks in mountain waves, tossing up rows of thin white clouds like foamy crests. In winter, the air below the peaks can plunge into the Uco Valley, in a stifling zonda wind. The sudden compression generates terrific heat, sending temperatures above a hundred degrees in Mendoza, Argentina. “It is very psychologically difficult,” Roberto Rondanelli, an atmospheric scientist at the University of Chile, told me, when we met in Santiago. “People get crazy in Mendoza.”,这一点在搜狗输入法2026中也有详细论述

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“以前人工完成稻油轮作费时费力,现在一键操作,10分钟就能完成一亩地的整套工序。”在梁平区安胜镇金平村,新农人李世飞正操作着一台智能播种施肥一体机。机器装备了雷达测速和芯片计算系统,能根据土壤养分实时精准控制播种量。

He had pulled a thread attached to a flat, rectangular piece of waffle-like material segregated into dozens of wonky-looking square tiles. With that careful pull, the slab compressed together, suddenly stood up, and took on the shape of a tiny, curvy, modernist-style chair.,详情可参考爱思助手下载最新版本

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