電気化学と触媒の組み合わせはインパクトが大きい。だけど、今は人工知能が材料探索する時代みたい。せっかくの知識も過去の遺物になるようでさみしい。
錬金術の流れを組む化学は秘密の技術を操る職人のイメージがある。教科書で周期表、イオン化傾向、標準酸化還元電位、触媒の山型特性を学んだ上に、論文や実験を繰り返したり研究室独自のノウハウの上に成り立つ技術だった。
燃料電池触媒、太陽光電池触媒、二酸化炭素還元触媒、水分解触媒、光合成触媒に使う。
鉄、亜鉛、銀、銅、コバルト、ニッケル、マンガンあたりの元素は無機化学の教科書と電気化学や触媒化学の教科書と膨大な論文を読み込んだ人工知能が人間の知識を凌駕する。
シンギュラリティは材料化学の分野では始まっている。
https://ascii.jp/elem/000/004/174/4174846/
The combination of electrochemistry and catalysis has a great impact.But now, it seems that artificial intelligence is searching for materials.It is sad to think that the knowledge we have acquired will become a relic of the past.
Chemistry, which is a branch of alchemy, has the image of a craftsman who manipulates secret techniques.In addition to learning the periodic table, ionization tendency, standard oxidation-reduction potential, and mountain-type characteristics of catalysts from textbooks, it was a technology based on repeated papers and experiments, and the unique know-how of laboratories.
The catalysts are used in fuel cell catalysts, photovoltaic cell catalysts, carbon dioxide reduction catalysts, water splitting catalysts, and photosynthesis catalysts.
Elements such as iron, zinc, silver, copper, cobalt, nickel, and manganese will be surpassed in human knowledge by artificial intelligence that has read inorganic chemistry textbooks, electrochemistry and catalytic chemistry textbooks, and a vast number of papers.
Singularity has begun in the field of materials chemistry.
https://ascii.jp/elem/000/004/174/4174846/
https://ascii.jp/elem/000/004/174/4174846/