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ICEAMST 2026: International Conference on Emerging Applications in Material Science and Technology

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ICEAMST
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投稿締切日:
2026-09-08
通知日:
2026-10-10
開催日:
2026-12-17
開催地:
Bengaluru, Karnataka, India
開催回数:
閲覧: 15921   フォロー: 0   参加: 0

会伴インデックス (CP-I)

40.5 / 100
全 5,683 件中 第 4,960 位 · 上位 88%

材料・機械・製造 分野 260 件中 第 210 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
19
コミュニティの注目度 (10%)
10
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：1 · 過去 24 か月にこのページを開いた研究者：3 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-21

論文募集

ICEAMST 2026 (International Conference on Emerging Applications in Material Science and Technology) is an academic conference held in Bengaluru, Karnataka, India on 2026-12-17. The paper submission deadline is 2026-09-08. Acceptance notifications are sent on 2026-10-10.

ICEAMST 2026 welcomes high-quality research papers addressing significant innovations and applications in material science. The topics of interest include, but are not limited to, the following tracks: Track 1: Advanced Electronic Materials and Electronics 2D and 3D materials for next-generation electronics Layered materials for flexible and transparent electronic devices Stretchable and biodegradable electronics High-performance dielectric and piezoelectric applications Transistors and memory architectures Advanced signal and imaging technologies Bio-inspired electronic systems Edge computing and AI-integrated embedded devices Quantum materials for future electronics MEMS and NEMS innovations Advanced satellite and deep-space communication materials 5G and 6G-ready electronic circuits and architectures High-speed photonic and optoelectronic systems Terahertz and sub-terahertz communication materials Nanoelectronic sensor applications Track 2: Sustainable Materials and Communication Technologies Energy-harvesting materials for smart electronics Self-repairing and bio-degradable electronic components Circular economy and sustainable electronic waste management Next-gen VLSI and ULSI eco-friendly architectures High-efficiency RF and microwave materials Advanced remote sensing technologies AI-driven material design for green communications Smart grid innovations with sustainable materials Robotics and drone-based environmental monitoring Secure and reliable communication protocols Computational methods for sustainable material synthesis Terahertz communication materials AI-based misinformation detection in communication systems Track 3: Materials for Control, Automation, and Industry 4.0 Intelligent materials for automation and robotics AI-integrated sensor networks for industrial automation Machine learning-driven adaptive control systems Bio-compatible smart coatings for automation Quantum-enhanced process control Advanced AI-driven robotic applications in agriculture Sustainable power electronics for electric mobility High-efficiency autonomous vehicle materials Smart materials for human-machine collaboration Digital twin and cyber-physical systems in Industry 4.0 Track 4: Materials for Networking and Computing Advanced photonic computing materials AI-powered security materials for quantum networks Future-proof materials for high-speed networking Emerging substrates for 6G and beyond Bio-inspired materials for secure information transfer Edge computing hardware innovations AI-driven networking topologies and architectures AR/VR-assisted networking material advancements Secure hardware-based cryptographic materials Impacts of advanced networking materials Low-latency materials for high-performance computing Track 5: Applications of Material Science and Computing Technologies Materials for next-gen biomedical implants and sensors Hybrid material innovations for sustainable engineering Emerging trends in smart material synthesis AI-assisted material design and optimization LiDAR and hyperspectral imaging material applications High-speed computing materials for AI acceleration Novel bio-mimetic materials for medical applications AI-driven nano-material fabrication Augmented and virtual reality-based material applications Computational intelligence for material property prediction
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