سکوی ساخت و تولید هوشمند پلیمرها: مهندسی ژنوم مواد پلیمری
الموضوعات :
زینب سادات حسینی
1
(گروه فرآیندهای پلیمریزاسیون، دانشکده مهندسی شیمی، دانشگاه تربیت مدرس، صندوق پستی ۱۴3-14115)
الکلمات المفتاحية: پلیمر, ژنوم مواد, هوش مصنوعی, یادگیری ماشین,
ملخص المقالة :
مواد پلیمری با کارایی عالی، پایه و اساس توسعه فناوری سطح بالا و ساخت و تولید پیشرفته است. اخیراً، مهندسی ژنوم مواد پلیمری(Polymeric material genome engineering) (PMGE) به عنوان سکویی اساسی برای ساخت و تولید هوشمند مواد پلیمری مطرح شده است. PMGE یک رشته نوظهور است که اصول طرح ژنوم مواد را با علم پلیمر ترکیب می کند تا کشف و توسعه مواد پلیمری جدید را تسریع بخشد. مفهوم PMGE ایجاد یک پایگاه داده جامع از خواص پلیمر است که از هر دو روش محاسباتی و تجربی به دست آمده است. سپس می توان از این پایگاه داده برای آموزش مدل های یادگیری ماشینی استفاده کرد که می تواند خواص پلیمرهای جدید را پیش بینی کند. به طور کلی، PMGE نشان دهنده یک گام مهم به سمت تولید هوشمند مواد پلیمری با پتانسیل ایجاد انقلاب در این زمینه همراه با امکان توسعه سریعتر و کارآمدتر مواد جدید است. با این حال، توسعه PMGE هنوز در ابتدای راه است و بسیاری از مسائل، باقی مانده که باید مورد توجه قرار گیرد. در این بررسی، مفاهیم بنیادی PMGE و خلاصه ای از تحقیقات و دستاوردهای پیشرفت های اخیر ارائه می شود، سپس مهمترین چالش‌ها به همراه چشم‌انداز آینده ترسیم می‌شود. به‌طور‌خاص، این مطالعه بر رویکردهای پیش‌بینی خواص، از جمله رویکرد پروکسی و یادگیری ماشین متمرکز است و کاربردهای بالقوه PMGE یعنی کامپوزیت های پیشرفته، مواد پلیمری مورد استفاده در سامانه های ارتباطی و ساخت مدارهای یکپارچه الکتریکی را مورد بحث قرار خواهد داد.
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