AI WAVE SHOW 2026

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\"指導單位\",\n \"主辦單位\": \"主辦單位\",\n \"協辦單位\": \"協辦單位\",\n \"贊助單位\": \"贊助單位\",\n \"參觀者\": \"參觀者\", \n \"參觀資訊\": \"觀展資訊\", \n\n \"參展商列表\": \"2025 參展商列表\",\n \"廠商列表\": \"廠商列表\"\n\n , \"觀展資訊\": \"觀展資訊\"\n , \"參展報名\": \"參展報名\"\n , \"活動資訊\": \"活動資訊\"\n , \"新聞中心\": \"新聞中心\"\n , \"聯絡我們\": \"聯絡我們\"\n \n , \"論壇亮點\": \"論壇亮點\"\n , \"了解詳情\": \"了解詳情\"\n}","newsDetails":{"seq":20,"createByUserName":"adam_tsao","updateByUserName":"adam_tsao","categoryCaptionZhTw":"大會新聞","categoryCaptionEnUs":"Press Release","webNewsId":"8e8a512a-d41d-453a-b534-3bc459ac0455","sysNotes":null,"expoId":"260ead6b-5b20-4ae5-81ad-13c858aaa525","subject":"AI重塑材料科學：生成式技術發現220萬種新材料","briefs":"人工智慧正在徹底改變材料科學研究模式，從傳統的試誤法轉向精準的預測性設計。2025年，AI驅動的材料發現技術達到前所未有的突破，單一系統即可發現數百萬種新材料，為下一代電池、清潔能源和永續技術開啟無限可能。","newsStory":"<p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">人工智慧正在徹底改變材料科學研究模式，從傳統的試誤法轉向精準的預測性設計。2025年，AI驅動的材料發現技術達到前所未有的突破，單一系統即可發現數百萬種新材料，為下一代電池、清潔能源和永續技術開啟無限可能。\n\n<span style=\"font-size: 18px;\"><b>材料發現進入AI時代，效率提升10倍成為常態</b></span>\n材料科學正經歷史上最大規模的技術革命。研究顯示，<b>AI驅動的自動化實驗室比傳統方法快10倍發現新材料</b>，同時大幅減少化學物質使用和實驗廢料。這種突破性效率提升源於機器學習演算法的即時預測能力，讓科學家能在數天內完成過去需要數年的材料探索工作。\n\n北卡羅來納州立大學的研究團隊開發出自主運作的實驗室系統，該系統收集的數據量比傳統穩態流動實驗多10倍，並能在第一次嘗試後就識別出最佳材料候選者。這項技術不僅加速發現過程，更重要的是減少了實驗所需的化學物質，推動更永續的研究實踐。\n\n世界經濟論壇在其2025年報告中指出，AI正在革命性地改變材料發現和應用新知識的方式，可能解鎖更高效太陽能電池、更大容量電池和關鍵碳捕捉技術所需的先進材料，加速實現碳中和目標。\n\n<span style=\"font-size: 18px;\"><b>生成式AI創造材料設計新典範，220萬種候選材料待開發</b></span>\n生成式AI技術正在重新定義材料設計方法論。Google DeepMind的GNoME系統已識別出220萬種新的穩定材料，其中38萬種材料已通過穩定性驗證，具備實際合成的可行性。這代表比以往方法增加10倍的發現效率，為清潔能源、電子產品等領域提供前所未有的材料選擇。\n\n微軟研究院發表於《自然》期刊的MatterGen工具展現另一種突破性方法，能夠根據特定設計需求直接生成新材料結構，而非僅僅篩選現有候選者。該系統可以整合化學、機械、電子或磁性等多重特性約束，在短時間內產生數千種具備特定性質的潛在材料。\n\n紐澤西理工學院的研究團隊運用雙重AI方法，成功發現5種全新的多孔過渡金屬氧化物結構，這些材料具備大型開放通道，非常適合多價離子的快速安全移動，為下一代電池技術帶來重大突破。研究團隊強調，這不僅是發現新電池材料，更建立了快速、可擴展的先進材料探索方法。\n\n<span style=\"font-size: 18px;\"><b>AI驅動電池技術市場爆發，十年內成長450%</b></span>\nAI在材料科學的應用正催生龐大的商業市場。AI驅動電池技術市場2024年價值35億美元，預計2034年將達到194億美元，十年間成長超過4.5倍，年複合成長率達18.9%。這個快速擴張的市場反映了產業對AI材料技術商業化前景的強烈信心。\n\n市場成長的主要驅動力包括電動車普及、再生能源儲存需求，以及對更高能量密度、安全性和永續性電池的迫切需要。AI演算法能夠即時監控電池健康狀況，預測異常並防止能源損失，同時透過機器學習模型檢測潛在故障，實現及時干預。\n\n去年全球材料科學家創造了超過5,000種不同類型的金屬有機框架材料(MOFs)，這些具有可調特性的多孔材料可應用於二氧化碳分離、藥物輸送和先進電子設備等多個領域。然而，一個重大挑戰是為特定目的合成的MOF經常發現其理想特性適用於完全不同的應用，AI預測系統正是解決這個問題的關鍵。\n<span style=\"font-size: 18px;\"><b>\n跨領域應用潛力無限，從清潔能源到醫療器械</b></span>\nAI材料科學的影響範圍遠超單一產業。在清潔技術領域，新發現的多孔材料可用於從廢氣流中分離二氧化碳，防止碳排放進入大氣層。在醫療應用方面，這些材料可用於藥物精準輸送到身體特定部位，或為先進醫療植入物提供新功能。\n\n多倫多大學的多模態AI工具能夠從材料創建的瞬間就預測其在真實世界條件下的表現，確保有前景的創新能發揮最大潛力。該系統專注於金屬有機框架材料，能夠解決一個困擾材料科學界的重大問題：為一個目的創造的材料往往具備另一個完全不同應用的理想特性，但這種發現可能延遲數年。\n\n在永續發展方面，AI驅動的材料發現顯著減少研發所需的化學物質和實驗廢料。傳統材料開發主要依賴經驗、直覺和試誤方法，不僅成本高昂且耗時，更產生大量化學廢料。AI方法透過精準預測大幅減少不必要的實驗，推動更環保的研究實踐。\n\n<span style=\"font-size: 18px;\"><b>產業競爭格局重塑，開放合作成為趨勢</b></span>\n全球科技領導者從微軟、Google到勞倫斯伯克利國家實驗室，都推出了如MatterGen和GNoME等大膽倡議，運用AI大幅擴展材料研究的規模和精度。同時，新興企業如XtalPi正在建構整合的數據生成和推理「飛輪」系統，結合自動化實驗室與先進AI，實現前所未有規模的加速疊代發現。\n\n2024年被認為是AI科學生態系統的轉型年，特別是在生物技術以及化學和材料科學的新興領域。在生技和製藥方面，XtalPi以25億美元估值上市，Terray Therapeutics和Iambic Therapeutics等知名公司完成重大融資輪，同時推進其藥物發現管線。\n\n產業專家指出，AI驅動的材料創新競賽已經成為全球性現象，各國政府和企業都在大力投資這個領域。然而，與傳統的技術競爭不同，材料科學領域更強調開放合作和知識共享，因為新材料的應用潛力往往跨越多個產業和學科界線。\n\n<span style=\"font-size: 18px;\"><b>未來展望：材料科學進入按需設計時代</b></span>\nAI材料科學正在開啟「按需設計」的新時代，科學家可以根據特定應用需求直接設計材料，而非依賴偶然發現。這種範式轉變將大幅縮短從實驗室到實際應用的時間，加速清潔能源、永續技術和先進電子設備的發展。\n\n預計未來五年內，AI驅動的材料發現將成為標準研發流程，自動化實驗室和機器學習預測將取代大部分傳統試誤實驗。這不僅提高效率，更重要的是讓材料科學研究變得更永續、更精準，為解決氣候變遷、能源轉型等全球挑戰提供關鍵技術支撐。\n\n隨著量子計算、區塊鏈和物聯網等新興技術的整合，AI材料科學將建立更強大的技術基礎，推動從能源儲存到太空探索等各個領域的革命性突破。\n\n參考資料\nWorld Economic Forum Materials Innovation Report - </span></font><a href=\"http://www.weforum.org\" target=\"_blank\">www.weforum.org</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">Google DeepMind Research Publications - </span></font><a href=\"http://www.deepmind.google\" target=\"_blank\">www.deepmind.google</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">Microsoft Research Materials Discovery - </span></font><a href=\"http://www.microsoft.com\" target=\"_blank\">www.microsoft.com</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">Nature Academic Journal - </span></font><a href=\"http://www.nature.com\" target=\"_blank\">www.nature.com</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">InsightAce Analytic Market Research - </span></font><a href=\"http://www.insightaceanalytic.com\" target=\"_blank\">www.insightaceanalytic.com</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">Precedence Research Battery Technology - </span></font><a href=\"http://www.precedenceresearch.com\" target=\"_blank\">www.precedenceresearch.com</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">University of Toronto Engineering Research - </span></font><a href=\"http://www.utoronto.ca\" target=\"_blank\">www.utoronto.ca</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">New Jersey Institute of Technology - </span></font><a href=\"http://www.njit.edu\" target=\"_blank\">www.njit.edu</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">North Carolina State University - </span></font><a href=\"http://www.ncsu.edu\" target=\"_blank\">www.ncsu.edu</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">Science Daily Materials Research - </span></font><a href=\"http://www.sciencedaily.com\" target=\"_blank\">www.sciencedaily.com</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">IDTechEx Technology Analysis - </span></font><a href=\"http://www.idtechex.com\" target=\"_blank\">www.idtechex.com</a></p><p dir=\"ltr\" style=\"margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-left: 3pt;\"><font color=\"#000000\" face=\"Arial, sans-serif\"><span style=\"white-space-collapse: preserve;\">\n\n</span></font></p>","coverImagePath":"/api/general/downloadFile?filePath=UserData/WebExpoNewsPics/20250804160934.png","publishAt":"2025-08-04T00:00:00","newsType":"expoNews","category":"01","_language":"zh-TW","ifReleased":true,"ifEnable":true,"createDateTimeUtc":"2025-08-04T08:11:27.99","updateDateTimeUtc":"2025-08-04T08:12:12.723","createBy":"50519C11-C0F7-4DE6-899C-E92DAFC3C3E8","updateBy":"50519C11-C0F7-4DE6-899C-E92DAFC3C3E8","createDateTimeUtc8":"2025-08-04T16:11:27.99","updateDateTimeUtc8":"2025-08-04T16:12:12.723"},"languageButtonsJsonString":"{\n 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