会议信息

DNA 2026: International Conference on DNA Computing and Molecular Programming

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截稿日期:
2026-04-03
通知日期:
2026-05-18
会议日期:
2026-08-03
会议地点:
Fayetteville, Arkansas, USA
届数:
32
ICORE: B   浏览: 737   关注: 0   参加: 0

会伴指数 (CP-I)

60.1 / 100
全站第 603 名 / 共 5,683 个会议 · 前 11%
学术认可 (35%)
72
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
94
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE B · 有据可查的届次：32 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-21

征稿

DNA 2026 (International Conference on DNA Computing and Molecular Programming) is a ICORE B conference held in Fayetteville, Arkansas, USA on 2026-08-03. The paper submission deadline is 2026-04-03. Acceptance notifications are sent on 2026-05-18.

The meeting Research in DNA computing and molecular programming draws together mathematics, computer science, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthesis of information-based molecular systems. This annual meeting is the premier forum where scientists with diverse backgrounds come together with the common purpose of applying principles and tools of computer science, physics, chemistry and mathematics to advance molecular-scale engineering and biology. The 32nd International Conference on DNA Computing and Molecular Programming (DNA32), organized under the auspices of the International Society for Nanoscale Science, Computation and Engineering (ISNSCE), will focus on the most important recent experimental and theoretical results. The International Conference on DNA Computing and Molecular Programming series The International Society for Nanoscale Science, Computation and Engineering (ISNSCE) Solicitation for Papers Papers and presentations are sought in all areas that relate to biomolecular computing, including, but not restricted to: algorithms and models for computation on biomolecular systems; computational processes in vitro and in vivo; molecular switches, gates, devices, and circuits; molecular folding and self-assembly of nanostructures; analysis and theoretical models of laboratory techniques; molecular motors and molecular robotics; information storage; studies of fault-tolerance and error correction; software tools for analysis, simulation, and design; synthetic biology and in vitro evolution; applications in engineering, physics, chemistry, biology, and medicine.
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