Invitation to Submit
제출 안내
The International Conference on Data Science for Materials Discovery , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on Data Science for Materials Discovery , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Data Science In Materials Discovery
Machine Learning For Material Properties
Predictive Modeling In Materials Science
Data-driven Approaches To Material Design
Applications Of Ai In Materials Research
Case Studies In Materials Discovery
Sustainability In Materials Development
Data Visualization For Materials Data
Integration Of Experimental And Computational Data
Challenges In Materials Data Management
Future Trends In Materials Data Science
Collaborative Platforms For Materials Research
Ethical Considerations In Materials Data
Data Mining Techniques For Materials Discovery
Real-world Applications Of Materials Data Science
Material Informatics And Data Science
Benchmarking Materials Discovery Methodologies
User Experiences With Materials Data Tools
Data-driven Decision Making In Materials
Impact Of Data Science On Materials Innovation
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.