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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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투고 마감일:
2026-09-08
통보일:
2026-10-10
개최일:
2026-12-17
개최지:
Bengaluru, Karnataka, India
개최 횟수:
조회: 15919   팔로우: 0   참가: 0

회반 지수 (CP-I)

40.5 / 100
전체 5,683개 중 4,960위 · 상위 88%

재료·기계·제조 분야 260개 중 210위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
19
커뮤니티 관심도 (10%)
10
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 1 · 지난 24개월 동안 이 페이지를 연 연구자: 3명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-21

논문 모집

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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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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