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MAID 2027: International Conference on Materials AI Discovery

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MAID
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투고 마감일:
2027-04-05 215일 남음
통보일:
2027-05-05
개최일:
2027-08-13
개최지:
Hong Kong, China
조회: 11   팔로우: 0   참가: 0

논문 모집

MAID 2027 (International Conference on Materials AI Discovery) is an academic conference held in Hong Kong, China on 2027-08-13. The paper submission deadline is 2027-04-05. Acceptance notifications are sent on 2027-05-05.

MAID 2027 welcomes original research contributions across a broad range of AI-driven materials discovery topics. Authors are invited to submit full papers describing original, previously unpublished research. TRACK 01 Machine Learning Potentials & Force Fields ML-based interatomic potentials for accelerated materials simulations, including neural network potentials, Gaussian approximation potentials, and equivariant models. TRACK 02 Generative Models for Materials Design GANs, diffusion models, VAEs, and transformer-based architectures for inverse design, crystal structure prediction, and de novo molecule generation. TRACK 03 High-Throughput Computational Screening DFT-based and ML-accelerated virtual screening of large chemical spaces, materials databases, and automated workflow pipelines. TRACK 04 Autonomous Laboratories & Robotics Self-driving labs, automated synthesis platforms, robotic experimentation, and closed-loop AI-driven optimization of materials properties. TRACK 05 Multimodal Data Fusion & LLMs Integrating text, images, spectral data, and simulation results with large language models, vision-language models, and multimodal foundation models for materials science. TRACK 06 Physics-Informed ML & Uncertainty Quantification Embedding physical constraints, symmetries, and conservation laws into ML models; Bayesian methods and conformal prediction for reliable materials property prediction. TRACK 07 AI for Sustainable & Energy Materials Applications to batteries, catalysts, photovoltaics, thermoelectrics, CO2 capture, and hydrogen storage materials.
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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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