{"id":288643,"date":"2025-10-09T08:38:52","date_gmt":"2025-10-09T08:38:52","guid":{"rendered":"https:\/\/clarivate.com\/academia-government\/?p=288643"},"modified":"2025-10-17T03:47:56","modified_gmt":"2025-10-17T03:47:56","slug":"from-crafting-impactful-slides-to-preparing-a-strong-script","status":"publish","type":"post","link":"https:\/\/clarivate.com\/academia-government\/ja\/blog\/from-crafting-impactful-slides-to-preparing-a-strong-script\/","title":{"rendered":"\u82f1\u6587\u4f5c\u6210\u4e0a\u9054\u8b1b\u5ea7\uff08\u7b2c\uff12\u56de\uff09\uff1a\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u52b9\u679c\u7684\u306a\u57f7\u7b46\u3068\u82f1\u8a9e\u3067\u306e\u7814\u7a76\u767a\u8868\u2015\u52b9\u679c\u7684\u306a\u30b9\u30e9\u30a4\u30c9\u3068\u539f\u7a3f\u306e\u4f5c\u6210\u307e\u3067"},"content":{"rendered":"<p>\u79cb\u98a8\u304c\u5439\u3044\u3066\u304d\u307e\u3057\u305f\u304c\u3001\u7814\u7a76\u6d3b\u52d5\u3068\u8ad6\u6587\u57f7\u7b46\u306f\u9032\u3093\u3067\u3044\u307e\u3059\u304b\u3002\u3053\u308c\u307e\u3067\u8907\u6570\u56de\u306e\u30bb\u30df\u30ca\u30fc\u3092\u901a\u3058\u3066\u3001\u82f1\u8a9e\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u52b9\u679c\u7684\u306a\u66f8\u304d\u65b9\u306b\u3064\u3044\u3066\u304a\u4f1d\u3048\u3057\u3066\u304d\u307e\u3057\u305f\u3002\u7279\u306b\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9Web of Science\u304b\u3089\u62bd\u51fa\u3057\u305f\u539f\u8457\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u3092\u304a\u624b\u672c\u306b\u3057\u3066\u3001\u8868\u73fe\u3092\u771f\u4f3c\u3066\u57f7\u7b46\u3059\u308b\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u3066\u304d\u307e\u3057\u305f\u3002\u4eca\u56de\u306f\u3001\u3053\u308c\u307e\u3067\u540c\u69d8\u306b\u307e\u305a\u306f\u539f\u8457\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u5f62\u3092\u304a\u3055\u3089\u3044\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u8ad6\u6587\u57f7\u7b46\u306b\u52a0\u3048\u3066\u7814\u7a76\u8005\u306e\u65b9\u3005\u304c\u884c\u308f\u308c\u308b\u3082\u3046\u4e00\u3064\u306e\u767a\u8868\u6d3b\u52d5\u3067\u3042\u308b\u300c\u53e3\u982d\u767a\u8868\u300d\u306b\u3064\u3044\u3066\u3082\u89e6\u308c\u307e\u3059\u3002<\/p>\n<p>\u3055\u3066\u3001\u307e\u305a\u306fWeb of Science\u306b\u53ce\u9332\u3055\u308c\u3066\u3044\u308b\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u30921\u3064\u8aad\u3093\u3067\u307f\u307e\u3057\u3087\u3046\u3002climate change\uff08\u6c17\u5019\u5909\u52d5\uff09\u3092\u30ad\u30fc\u30ef\u30fc\u30c9\u306b\u3057\u3066\u62bd\u51fa\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u30bf\u30a4\u30c8\u30eb\uff1a<br \/>\nData-driven model development for the prediction of photocatalytic CO<sub>2<\/sub> conversion<br \/>\n\u300c\u5149\u89e6\u5a92\u306b\u3088\u308b\u4e8c\u9178\u5316\u70ad\u7d20\u5909\u63db\u3092\u4e88\u6e2c\u3059\u308b\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u30e2\u30c7\u30eb\u306e\u958b\u767a\u300d<\/p>\n<p style=\"text-align: right\">FUEL 405, Feb 1, 2026\uff1a<\/p>\n<p>\u539f\u8457\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u5185\u5bb9\u304c\u8a18\u8f09\u3055\u308c\u308b\u306e\u304c\u4e00\u822c\u7684\u3067\u3059\u3002<\/p>\n<ol>\n<li>\u4e3b\u984c\u3084\u554f\u984c\u306e\u63d0\u793a\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u5e8f\u8ad6\u300d\u306b\u76f8\u5f53\uff09<\/li>\n<li>\u5b9f\u969b\u306b\u4f55\u3092\u884c\u3063\u305f\u304b\u306e\u8aac\u660e\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u65b9\u6cd5\u300d\u306b\u76f8\u5f53\uff09<\/li>\n<li>\u4e3b\u8981\u306a\u7d50\u679c\u3084\u793a\u5506\u306e\u63d0\u793a\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u7d50\u679c\u3068\u8003\u5bdf\u300d\u306b\u76f8\u5f53\uff09<\/li>\n<\/ol>\n<div>\n<div style=\"padding: 10px;margin-bottom: 10px;border: 1px solid #333333\">\n<p><sup>1.\u4e3b\u984c\u3084\u554f\u984c\u306e\u63d0\u793a<\/sup><strong>The rising level of global carbon dioxide<\/strong> (37.5 GtCO<sub>2<\/sub>e annually) <strong>remains a major contributor<\/strong> to climate change, highlighting the urgent need for effective carbon capture and utilization (CCU) strategies. Photocatalysis and electrocatalysis offer promising CO<sub>2<\/sub> reduction routes <strong>but are limited by<\/strong> complex reaction mechanisms and low selectivity. <sup>2. <\/sup><sup>\u5b9f\u969b\u306b\u4f55\u3092\u884c\u3063\u305f\u304b\u306e\u8aac\u660e<\/sup><strong>In this study,<\/strong> a machine learning (ML) model <strong>was developed to predict<\/strong> product yields based on catalyst properties and reaction conditions using literature-derived experimental data. <strong>Six ML algorithms<\/strong> including Decision Tree (DT), Random Forest (RF), K-Nearest Neighbors (kNN), Multi-Layer Perceptron Regressor (MLPR), Support Vector Regressor (SVR), and Gradient Boosting Regressor (GBR) <strong>were evaluated<\/strong>. <sup>3. <\/sup><sup>\u4e3b\u8981\u306a\u7d50\u679c\u3084\u793a\u5506\u306e\u63d0\u793a<\/sup>Among these, <strong>GBR achieved<\/strong> the highest accuracy of 98 %, with predictions generated in under &lt;1 s. <strong>Feature importance analysis was used to identify<\/strong> wavelength and light intensity as the most influential parameters. <strong>This data-driven approach offers a powerful tool<\/strong> for catalytic systems and accelerates the development of sustainable CO<sub>2<\/sub> utilization technologies.<\/p>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<ol>\n<li>\u4e3b\u984c\u3084\u554f\u984c\u306e\u63d0\u793a\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u5e8f\u8ad6\u300d\u306b\u76f8\u5f53\uff09<\/li>\n<\/ol>\n<p>\u7b2c1\u6587\uff1a<strong>The rising level of global carbon dioxide<\/strong> (37.5 GtCO<sub>2<\/sub>e annually) <strong>remains a major contributor<\/strong> to climate change, highlighting the urgent need for effective carbon capture and utilization (CCU) strategies.<\/p>\n<p>\u7121\u751f\u7269\u4e3b\u8a9eThe rising level of global carbon dioxide\uff08\u4e16\u754c\u7684\u306a\u4e8c\u9178\u5316\u70ad\u7d20\u6392\u51fa\u91cf\uff09\u3092\u52b9\u679c\u7684\u306b\u4f7f\u3063\u305fSVC\u69cb\u6587\u3067\u3059\u3002\u52d5\u8a5eremain\uff08\u4f9d\u7136\u3068\u3057\u3066\uff5e\u3067\u3042\u308b\uff09\u304c\u52b9\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u300c\u4e16\u754c\u7684\u306a\u4e8c\u9178\u5316\u70ad\u7d20\u6392\u51fa\u91cf\uff08\u5e74\u959337.5\u30ae\u30ac\u30c8\u30f3CO\u2082e\uff09\u306e\u5897\u52a0\u306f\u3001\u4f9d\u7136\u3068\u3057\u3066\u6c17\u5019\u5909\u52d5\u306e\u4e3b\u8981\u306a\u8981\u56e0\u3067\u3042\u308b\u300d\u307e\u3067\u304c\u524d\u534a\u3001\u7d9a\u3044\u3066\u5206\u8a5e\u69cb\u6587\u300c, highlighting the urgent need for\u300d\u3067\u300c\u52b9\u679c\u7684\u306a\u70ad\u7d20\u56de\u53ce\u30fb\u5229\u7528\u6226\u7565\u306e\u5207\u8feb\u3057\u305f\u5fc5\u8981\u6027\u304c\u6d6e\u304d\u5f6b\u308a\u306b\u306a\u3063\u3066\u3044\u308b\u300d\u3068\u8ff0\u3079\u3066\u3044\u307e\u3059\u3002\u672c\u8ad6\u6587\u306e\u8ab2\u984c\u3092\u7b2c1\u6587\u3067\u4e0a\u624b\u306b\u5c0e\u5165\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u7b2c2\u6587\uff1aPhotocatalysis and electrocatalysis offer promising CO<sub>2<\/sub> reduction routes <strong>but are limited by<\/strong> complex reaction mechanisms and low selectivity.<\/p>\n<p>\u6b21\u306b\u3001\u672c\u8ad6\u6587\u306e\u91cd\u8981\u306a\u30c6\u30fc\u30de\u3067\u3042\u308bPhotocatalysis and electrocatalysis\uff08\u5149\u89e6\u5a92\u53cd\u5fdc\u304a\u3088\u3073\u96fb\u6975\u89e6\u5a92\u53cd\u5fdc\uff09\u3092\u4e3b\u8a9e\u3068\u3057\u3001\u300c\u6709\u671b\u306aCO\u2082\u9084\u5143\u7d4c\u8def\u306b\u306a\u308a\u5f97\u308b\u304c\u3001\u53cd\u5fdc\u6a5f\u69cb\u306e\u8907\u96d1\u3055\u3068\u9078\u629e\u6027\u306e\u4f4e\u3055\u306b\u3088\u308a\u3053\u308c\u3089\u306e\u6280\u8853\u306b\u306f\u9650\u754c\u304c\u3042\u308b\u300d\u3068\u8ff0\u3079\u3066\u3044\u307e\u3059\u3002\u524d\u534a\u306e\u80fd\u52d5\u614b\u306e\u52d5\u8a5eoffer promising CO<sub>2<\/sub> reduction routes\u3068\u5f8c\u534a\u306e\u53d7\u52d5\u614bare limited by\u3092\u7b49\u4f4d\u63a5\u7d9a\u8a5ebut\u3067\u3064\u306a\u3050\u3001\u5178\u578b\u7684\u306a\u8868\u73fe\u3092\u4f7f\u3063\u3066\u7814\u7a76\u306e\u9650\u754c\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<ol start=\"2\">\n<li>\u5b9f\u969b\u306b\u4f55\u3092\u884c\u3063\u305f\u304b\u306e\u8aac\u660e\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u65b9\u6cd5\u300d\u306b\u76f8\u5f53\uff09<\/li>\n<\/ol>\n<p>\u7b2c3\u6587\uff1a<strong>In this study, <\/strong>a machine learning (ML) model <strong>was developed to predict <\/strong>product yields based on catalyst properties and reaction conditions using literature-derived experimental data.<\/p>\n<p>\u6587\u982d\u306eIn this study,\u306b\u3088\u308a\u3001\u8457\u8005\u306e\u7814\u7a76\u5185\u5bb9\u306b\u8a71\u984c\u304c\u79fb\u3063\u305f\u3053\u3068\u304c\u5206\u304b\u308a\u307e\u3059\u3002\u300c\u672c\u7814\u7a76\u3067\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u958b\u767a\u3057\u305f\u300d\u3068\u306f\u3058\u3081\u306b\u8ff0\u3079\u3001\u305d\u306e\u30e2\u30c7\u30eb\u306e\u76ee\u7684\u3092\u300c\u6587\u732e\u304b\u3089\u5f97\u3089\u308c\u305f\u5b9f\u9a13\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u3001\u89e6\u5a92\u7279\u6027\u304a\u3088\u3073\u53cd\u5fdc\u6761\u4ef6\u306b\u57fa\u3065\u304d\u751f\u6210\u7269\u53ce\u7387\u3092\u4e88\u6e2c\u3059\u308b\u300d\u3068\u8ff0\u3079\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u7b2c4\u6587\uff1a<strong>Six ML algorithms<\/strong> including Decision Tree (DT), Random Forest (RF), K-Nearest Neighbors (kNN), Multi-Layer Perceptron Regressor (MLPR), Support Vector Regressor (SVR), and Gradient Boosting Regressor (GBR) <strong>were evaluated<\/strong>.<\/p>\n<p>\u7d9a\u3044\u3066\u3001\u8457\u8005\u304c\u884c\u3063\u305f\u5185\u5bb9\u3068\u3057\u3066\u3001\u300c6\u7a2e\u985e\u306e\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u8a55\u4fa1\u3057\u305f\u300d\u3068\u3042\u308a\u307e\u3059\u30026\u7a2e\u985e\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u300c\u6c7a\u5b9a\u6728\uff08DT\uff09\u3001\u30e9\u30f3\u30c0\u30e0\u30d5\u30a9\u30ec\u30b9\u30c8\uff08RF\uff09\u3001k\u8fd1\u508d\u6cd5\uff08kNN\uff09\u3001\u591a\u5c64\u30d1\u30fc\u30bb\u30d7\u30c8\u30ed\u30f3\u56de\u5e30\uff08MLPR\uff09\u3001\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u56de\u5e30\uff08SVR\uff09\u3001\u304a\u3088\u3073\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u56de\u5e30\uff08GBR\uff09\u300d\u3067\u3059\u3002\u904e\u53bb\u5f62\u306e\u6642\u5236\u3092\u4f7f\u3063\u3066\u3001\u5b9f\u969b\u306b\u884c\u3063\u305f\u3053\u3068\u3092\u7c21\u6f54\u306b\u8ff0\u3079\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<ol start=\"3\">\n<li>\u4e3b\u8981\u306a\u7d50\u679c\u3084\u793a\u5506\u306e\u63d0\u793a\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u7d50\u679c\u3068\u8003\u5bdf\u300d\u306b\u76f8\u5f53\uff09<\/li>\n<\/ol>\n<p>\u7b2c5\u6587\uff1aAmong these, <strong>GBR achieved<\/strong> the highest accuracy of 98 %, with predictions generated in under &lt;1 s.<\/p>\n<p>\u8a55\u4fa1\u3057\u305f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u3046\u3061\u3001\u300cGBR\uff08\u52fe\u914d\u30d6\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u56de\u5e30\uff09\u304c98\uff05\u3068\u3044\u3046\u6700\u9ad8\u306e\u7cbe\u5ea6\u3092\u793a\u3057\u3001\u4e88\u6e2c\u306f1\u79d2\u672a\u6e80\u3067\u5f97\u3089\u308c\u305f\u300d\u3068\u3042\u308a\u307e\u3059\u3002GBR achieved\u2026\u3068\u3044\u3046\u7121\u751f\u7269\u4e3b\u8a9e\u306b\u3088\u308b\u80fd\u52d5\u614b\u8868\u73fe\u3001\u305d\u3057\u3066\u5f8c\u534a\u306b\u306f\u4ed8\u5e2f\u72b6\u6cc1\u306ewith\u304c\u52b9\u679c\u7684\u306b\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002with predictions generated in under &lt;1 s\u3067\u306f\u3001\u300c\u4e88\u6e2c\u300d\u304c\u5f97\u3089\u308c\u305f\u6642\u9593\u3092\u300c\u884c\u70ba\u306b\u8981\u3059\u308b\u524d\u7f6e\u8a5ein\u300d\u3092\u4f7f\u3063\u3066\u8868\u3057\u3066\u3044\u307e\u3059\u3002under\u306f\u300c\uff5e\u672a\u6e80\u300d\u3092\u610f\u5473\u3059\u308b\u524d\u7f6e\u8a5e\u3067\u3059\u3002<\/p>\n<p>\u7b2c6\u6587\uff1a <strong>Feature importance analysis was used to identify <\/strong>wavelength and light intensity as the most influential parameters.<\/p>\n<p>\u300c\u7279\u5fb4\u91cf\u91cd\u8981\u5ea6\u89e3\u6790\u306b\u3088\u308a\u3001\u6ce2\u9577\u3068\u5149\u5f37\u5ea6\u304c\u6700\u3082\u5f71\u97ff\u529b\u306e\u5927\u304d\u3044\u30d1\u30e9\u30e1\u30fc\u30bf\u3067\u3042\u308b\u3053\u3068\u304c\u660e\u3089\u304b\u3068\u306a\u3063\u305f\u300d\u3068\u8ff0\u3079\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u52b9\u679c\u7684\u306a\u52d5\u8a5eidentify\u3068\u524d\u7f6e\u8a5eas\u304c\u4f7f\u308f\u308c\u3001\u300c\uff5e\u3092\uff5e\u3068\u3057\u3066\u7279\u5b9a\u3059\u308b\u300d\u3068\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u7b2c7\u6587\uff1a<strong>This data-driven approach offers a powerful tool<\/strong> for catalytic systems and accelerates the development of sustainable CO<sub>2<\/sub> utilization technologies.<\/p>\n<p>\u7121\u751f\u7269\u4e3b\u8a9eThis data-driven approach\uff08\u3053\u306e\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u624b\u6cd5\uff09\u3068\u4ed6\u52d5\u8a5eoffers a powerful tool\u2026\u306b\u3088\u308b\u52b9\u679c\u7684\u306aSVO\u69cb\u6587\u3067\u8868\u3057\u3066\u3044\u307e\u3059\u3002\u300c\u3053\u306e\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u624b\u6cd5\u306f\u89e6\u5a92\u7cfb\u306b\u3068\u3063\u3066\u5f37\u529b\u306a\u30c4\u30fc\u30eb\u3068\u306a\u308a\u3001\u6301\u7d9a\u53ef\u80fd\u306aCO\u2082\u5229\u7528\u6280\u8853\u306e\u958b\u767a\u3092\u52a0\u901f\u3055\u305b\u308b\u300d\u3068\u3057\u3066\u3001\u672c\u7814\u7a76\u304c\u696d\u754c\u306b\u3082\u305f\u3089\u3059\u5f71\u97ff\u3092\u793a\u3057\u3066\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u3092\u7de0\u3081\u304f\u304f\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u30b9\u30e0\u30fc\u30ba\u306b\u8aad\u307f\u9032\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u305f\u3067\u3057\u3087\u3046\u304b\u3002\u7c21\u6f54\u306b\u8aad\u3081\u308b\u5de5\u592b\u304c\u5404\u6587\u306b\u51dd\u3089\u3055\u308c\u305f\u826f\u597d\u306a\u82f1\u6587\u304b\u3089\u306a\u308b\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u3067\u3057\u305f\u3002<\/p>\n<p>\u3055\u3066\u3001\u3053\u306e\u5185\u5bb9\u3092\u53e3\u982d\u3067\u767a\u8868\u3059\u308b\u5834\u5408\u306b\u306f\u3001\u30b9\u30e9\u30a4\u30c9\u3084\u539f\u7a3f\u3092\u3069\u306e\u3088\u3046\u306b\u4f5c\u6210\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u304b\u3002\u3053\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u3092\u30b5\u30f3\u30d7\u30eb\u3068\u3057\u3066\u3001\u5b66\u7fd2\u76ee\u7684\u3067\u3053\u3053\u306b\u30b9\u30e9\u30a4\u30c9\u3092\u4f5c\u6210\u3057\u3066\u307f\u307e\u3059\u3002<\/p>\n<p>\u30b9\u30e9\u30a4\u30c91\uff1a\u30bf\u30a4\u30c8\u30eb<\/p>\n<div>\n<div style=\"padding: 10px;margin-bottom: 10px;border: 1px solid #333333\">\n<p style=\"text-align: center\">Data-Driven Model for Predicting Photocatalytic CO<sub>2<\/sub> Conversion<\/p>\n<p>Taro Yamada<\/p>\n<p>Mechanical Engineering, A-University, Japan<\/p>\n<p>The Xth International Conference on Sustainable Energy<\/p>\n<p>September 20-22, 2025<\/p>\n<\/div>\n<\/div>\n<p>\u30bf\u30a4\u30c8\u30eb\u3092\u30b9\u30e9\u30a4\u30c9\u7528\u306b\u77ed\u304f\u5909\u66f4\u3057\u307e\u3057\u305f\u3002\u767a\u8868\u8005\u306e\u540d\u524d\u3068\u6240\u5c5e\u6a5f\u95a2\u540d\u306f\u4eee\u306b\u4f5c\u6210\u3057\u305f\u3082\u306e\u3067\u3001\u672c\u8ad6\u6587\u3068\u306f\u7121\u95a2\u4fc2\u3067\u3059\u3002<\/p>\n<p>\u539f\u7a3f\u306f\u3001Good afternoon ladies and gentlemen. Today, I&#8217;d like to talk about our data-driven model that can predict photocatalytic CO<sub>2<\/sub> conversion.\u306a\u3069\u3068\u30b7\u30f3\u30d7\u30eb\u306b\u4f5c\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3057\u3001\u3088\u308a\u8074\u8846\u306b\u8a34\u3048\u308b\u3088\u3046\u306b\u3001We all know we need to reduce CO<sub>2<\/sub> emission to prevent climate change. Photocatalytic CO<sub>2<\/sub> conversion can be a solution. We have developed a data-driven model for predicting photocatalytic CO<sub>2<\/sub> conversion.\u306a\u3069\u3068\u4f5c\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u30b9\u30e9\u30a4\u30c92\uff1a\u80cc\u666f<\/p>\n<div>\n<div style=\"padding: 10px;margin-bottom: 10px;border: 1px solid #333333\">\n<p>Background<\/p>\n<ul>\n<li>Global CO\u2082 emissions: 37.5 GtCO\u2082e\/year<\/li>\n<\/ul>\n<p>Major contributor to climate change<\/p>\n<ul>\n<li>Need for carbon capture and utilization (CCU) strategies<\/li>\n<li>Photocatalysis and electrocatalysis<\/li>\n<\/ul>\n<p>Promising CO\u2082 reduction routes<\/p>\n<p>Complex reaction mechanisms and low selectivity<\/p>\n<\/div>\n<\/div>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u629c\u304d\u51fa\u3057\u3066\u63b2\u8f09\u3057\u307e\u3059\u3002\u53ef\u80fd\u306a\u9650\u308a\u6587\u7ae0\u306e\u63b2\u8f09\u3092\u907f\u3051\u307e\u3059\u3002<\/p>\n<p>\u30b9\u30e9\u30a4\u30c93\uff1a\u624b\u6cd5<\/p>\n<div>\n<div style=\"padding: 10px;margin-bottom: 10px;border: 1px solid #333333\">\n<p>Approach<\/p>\n<p>Our ML model<\/p>\n<p>Predict product yields from<\/p>\n<p>Catalyst properties<\/p>\n<p>Reaction conditions<\/p>\n<\/div>\n<\/div>\n<p>\u30ad\u30fc\u30ef\u30fc\u30c9\u3092\u629c\u304d\u51fa\u3057\u3001\u305d\u308c\u3092\u3064\u306a\u3052\u308b\u3068\u539f\u7a3f\u304c\u5b8c\u6210\u3059\u308b\u3088\u3046\u306a\u6d41\u308c\u306e\u3088\u3044\u30b9\u30e9\u30a4\u30c9\u3092\u5fc3\u304c\u3051\u307e\u3059\u3002<\/p>\n<p>\u4f8b\u3048\u3070\u3001\u3053\u306e\u30ad\u30fc\u30ef\u30fc\u30c9\u304b\u3089\u3001We have developed a machine learning model to predict product yields from catalyst properties and reaction conditions.\u3068\u3044\u3063\u305f\u6587\u3092\u518d\u751f\u3067\u304d\u308b\u30b9\u30e9\u30a4\u30c9\u3092\u4f5c\u6210\u3057\u3066\u304a\u304f\u3068\u3001\u5f53\u65e5\u306e\u30d7\u30ec\u30bc\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3067\u843d\u3061\u7740\u3044\u3066\u767a\u8a71\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n<p>\u30b9\u30e9\u30a4\u30c94\uff1a\u624b\u6cd5<\/p>\n<div>\n<div style=\"padding: 10px;margin-bottom: 10px;border: 1px solid #333333\">\n<p>Among six algorithms: DT, RF, kNN, MLPR, SVR, and GBR<\/p>\n<p>GBR: accuracy 98%, prediction time &lt;1 s<\/p>\n<p>Feature importance analysis<\/p>\n<p>Key parameters: wavelength, light intensity<\/p>\n<\/div>\n<\/div>\n<p>\u30b9\u30e9\u30a4\u30c95\uff1a\u7d50\u8ad6<\/p>\n<div>\n<div style=\"padding: 10px;margin-bottom: 10px;border: 1px solid #333333\">\n<p>Conclusion<\/p>\n<ul>\n<li>Data-driven approach as a powerful tool for catalytic systems<\/li>\n<li>Accelerating sustainable CO\u2082 utilization technologies<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<p>\u4ee5\u4e0a\u306e\u3088\u3046\u306b\u3001\u4e00\u4f8b\u3068\u3057\u3066\u30b9\u30e9\u30a4\u30c9\u3092\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002\u3053\u3046\u3057\u305f\u30b9\u30e9\u30a4\u30c9\u306b\u5bfe\u3057\u3066\u3001\u3055\u3089\u306b\u306f\u8aad\u307f\u4e0a\u3052\u3084\u3059\u3044\u539f\u7a3f\u3092\u4f5c\u308a\u3001\u305d\u308c\u3092\u30c6\u30ad\u30b9\u30c8\u306e\u8aad\u307f\u4e0a\u3052\u30c4\u30fc\u30eb\u3082\u4f7f\u3063\u3066\u8aad\u3080\u7df4\u7fd2\u3092\u3057\u3066\u5f53\u65e5\u306e\u30d7\u30ec\u30bc\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u81e8\u3080\u306e\u304c\u3088\u3044\u3067\u3057\u3087\u3046\u3002\u3055\u3066\u3001\u6765\u305f\u308b10\u670830\u65e5\u306e\u30bb\u30df\u30ca\u30fc\u3067\u306f\u3001\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u8868\u73fe\u306e\u5fa9\u7fd2\u3092\u3057\u3001\u305d\u3053\u304b\u3089\u30b9\u30e9\u30a4\u30c9\u3001\u305d\u3057\u3066\u539f\u7a3f\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3001\u539f\u7a3f\u3092\u8aad\u307f\u4e0a\u3052\u308b\u7df4\u7fd2\u307e\u3067\u3001\u5404\u7a2e\u82f1\u8a9e\u30c4\u30fc\u30eb\u3082\u4f7f\u3044\u306a\u304c\u3089\u3001\u7814\u7a76\u5185\u5bb9\u3092\u52b9\u679c\u7684\u306b\u767a\u4fe1\u3059\u308b\u305f\u3081\u306e\u30b3\u30c4\u3092\u304a\u4f1d\u3048\u3057\u307e\u3059\u3002\u662f\u975e\u3054\u53c2\u52a0\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u304a\u7533\u3057\u8fbc\u307f\u306f<a href=\"https:\/\/interest.clarivate.jp\/20251030_Webinar_Uenglish\" target=\"_blank\" rel=\"noopener\">\u3053\u3061\u3089<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u79cb\u98a8\u304c\u5439\u3044\u3066\u304d\u307e\u3057\u305f\u304c\u3001\u7814\u7a76\u6d3b\u52d5\u3068\u8ad6\u6587\u57f7\u7b46\u306f\u9032\u3093\u3067\u3044\u307e\u3059\u304b\u3002\u3053\u308c\u307e\u3067\u8907\u6570\u56de\u306e\u30bb\u30df\u30ca\u30fc\u3092\u901a\u3058\u3066\u3001\u82f1\u8a9e\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u52b9\u679c\u7684\u306a\u66f8\u304d\u65b9\u306b\u3064\u3044\u3066\u304a\u4f1d\u3048\u3057\u3066\u304d\u307e\u3057\u305f\u3002\u7279\u306b\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9Web of Science\u304b\u3089\u62bd\u51fa\u3057\u305f\u539f\u8457\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u3092\u304a\u624b\u672c\u306b\u3057\u3066\u3001\u8868\u73fe\u3092\u771f\u4f3c\u3066\u57f7\u7b46\u3059\u308b\u3053\u3068\u3092\u304a\u3059\u3059\u3081\u3057\u3066\u304d\u307e\u3057\u305f\u3002\u4eca\u56de\u306f\u3001\u3053\u308c\u307e\u3067\u540c\u69d8\u306b\u307e\u305a\u306f\u539f\u8457\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306e\u5f62\u3092\u304a\u3055\u3089\u3044\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u8ad6\u6587\u57f7\u7b46\u306b\u52a0\u3048\u3066\u7814\u7a76\u8005\u306e\u65b9\u3005\u304c\u884c\u308f\u308c\u308b\u3082\u3046\u4e00\u3064\u306e\u767a\u8868\u6d3b\u52d5\u3067\u3042\u308b\u300c\u53e3\u982d\u767a\u8868\u300d\u306b\u3064\u3044\u3066\u3082\u89e6\u308c\u307e\u3059\u3002 \u3055\u3066\u3001\u307e\u305a\u306fWeb of Science\u306b\u53ce\u9332\u3055\u308c\u3066\u3044\u308b\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u30921\u3064\u8aad\u3093\u3067\u307f\u307e\u3057\u3087\u3046\u3002climate change\uff08\u6c17\u5019\u5909\u52d5\uff09\u3092\u30ad\u30fc\u30ef\u30fc\u30c9\u306b\u3057\u3066\u62bd\u51fa\u3057\u307e\u3057\u305f\u3002 \u30bf\u30a4\u30c8\u30eb\uff1a Data-driven model development for the prediction of photocatalytic CO2 conversion \u300c\u5149\u89e6\u5a92\u306b\u3088\u308b\u4e8c\u9178\u5316\u70ad\u7d20\u5909\u63db\u3092\u4e88\u6e2c\u3059\u308b\u30c7\u30fc\u30bf\u99c6\u52d5\u578b\u30e2\u30c7\u30eb\u306e\u958b\u767a\u300d FUEL 405, Feb 1, 2026\uff1a \u539f\u8457\u8ad6\u6587\u306e\u30a2\u30d6\u30b9\u30c8\u30e9\u30af\u30c8\u306b\u306f\u3001\u6b21\u306e\u3088\u3046\u306a\u5185\u5bb9\u304c\u8a18\u8f09\u3055\u308c\u308b\u306e\u304c\u4e00\u822c\u7684\u3067\u3059\u3002 \u4e3b\u984c\u3084\u554f\u984c\u306e\u63d0\u793a\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u5e8f\u8ad6\u300d\u306b\u76f8\u5f53\uff09 \u5b9f\u969b\u306b\u4f55\u3092\u884c\u3063\u305f\u304b\u306e\u8aac\u660e\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u65b9\u6cd5\u300d\u306b\u76f8\u5f53\uff09 \u4e3b\u8981\u306a\u7d50\u679c\u3084\u793a\u5506\u306e\u63d0\u793a\uff08\u8ad6\u6587\u672c\u6587\u306e\u300c\u7d50\u679c\u3068\u8003\u5bdf\u300d\u306b\u76f8\u5f53\uff09 1.\u4e3b\u984c\u3084\u554f\u984c\u306e\u63d0\u793aThe rising&#8230;<\/p>\n","protected":false},"author":283,"featured_media":267800,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[502],"tags":[],"class_list":["post-288643","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-academia-government"],"acf":[],"lang":"ja","translations":{"ja":288643},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/posts\/288643","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/users\/283"}],"replies":[{"embeddable":true,"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/comments?post=288643"}],"version-history":[{"count":10,"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/posts\/288643\/revisions"}],"predecessor-version":[{"id":288742,"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/posts\/288643\/revisions\/288742"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/media\/267800"}],"wp:attachment":[{"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/media?parent=288643"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/categories?post=288643"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/clarivate.com\/academia-government\/wp-json\/wp\/v2\/tags?post=288643"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}