中国化学会第35届学术年会即将于4月11日在中国重庆启幕。会议聚焦“赋能化学·新质未来”，汇聚全国化学领域顶尖学者共探学科前沿。4月13日下午2点，Wiley将在科学会堂西区2MF科学1举行“Angewandte Symposium”论坛，德国化学会（GDCh）执行理事 Tom Kinzel、中国化学会（CCS）秘书长范青华研究员将莅临现场，为论坛致开幕辞。

同时，论坛特邀吴骊珠院士、冯小明院士、田禾院士以及陆俊教授、林歆怡教授将带来精彩的学术报告, 分享化学领域最新研究成果与创新见解。

会议预报名与编辑面对面环节预报名同步开启（详细日程与报告人介绍请见下文）

编辑面对面：顶刊主编一对一交流，精准助力论文发表

支持期刊：Angewandte Chemie, Advanced Materials

时间：4月12日、4月13日10:30-11:30

报名方式：通过上述预报名链接，填写论文标题、上传研究摘要并留存联系方式，锁定与Angewandte Chemie 和 Advanced Materials 主编面对面交流的宝贵机会，深度探讨文章写作、投稿技巧、期刊选题等核心问题。

会议预报名与编辑面对面环节预报名同步开启

https://uao.so/pct20d7f7b 

大会同期，Wiley 还将在会场及展位举办多项精彩活动，包括Advanced Chemical Engineering 创刊仪式，Angewandte Chemie、Advanced Synthesis& Catalysis 及ChemistryEurope 青年科学家奖颁奖仪式，以及备受期待的 Wiley 编辑面对面环节。我们还为现场与会者精心准备了丰富精美的 Wiley 期刊周边纪念品，诚邀各位老师、同学莅临Wiley C17展位交流互动，共赴这场化学学术盛宴！

学术报告抢先看：

吴骊珠

中国科学院理化技术研究所

题目：Artificial Photosynthesis for Chemical Transformation

面向化学转化的人工光合作用

Abstract: Inspired by the ability of natural photosynthesis to convert solar energy into chemical energy, the scientific community recognized the potential of light-driven reactions (photochemistry) as a powerful approach to chemical synthesis. From the high energy intermediate generated by photoinduced excitation of organic molecules, unique reaction manifolds can be accesses that are generally unavailable to conventional thermal pathways. Thus photochemical reactions considerably enrich the synthetic repertoire of modern organic chemists. Our group has long engaged in the photochemistry research related to the photoinduced energy transfer, electron transfer and chemical transformation. In this presentation, we will compile several stories to illustrate photochemical approaches that may be useful in the design of artificial photosynthetic systems for effective chemical transformation.

冯小明

四川大学

题目：Visible Light Induced Asymmetric Reactions Enabled by Chiral N,N'-Dioxide−Metal Complexes

手性 N,N'- 二氧化物 - 金属配合物介导的可见光诱导不对称反应

Abstract: The chiral N,N'-dioxide amide scaffold developed by the Feng group functions not only as an organocatalyst but also as a privileged chiral ligand. By coordinating with main-group, transition, or rare-earth metals, it forms well-defined Lewis acids known as Feng catalysts. These catalysts exhibit unique electronic and steric properties and have been successfully employed in more than 80 distinct classes of organic transformations.[1]

In recent years, the merger of chiral N,N'-dioxide−metal complex catalysis with photocatalysis has emerged as a powerful platform for enabling a range of unprecedented asymmetric transformations.[2] The possible reaction mechanisms as well as the roles of Feng catalysts were elucidated based on experimental and computational studies.

田禾

华东理工大学

题目：Multicolour Luminescence of Single Polycyclic Fluorophore based on Vibration-Induced Emission (VIE)

基于振动诱导发光（VIE）的单一多环荧光分子多色发光

Abstract: Herein, we demonstrate that a single polycyclic π-scaffold can undergo stepwise multistage excited-state structural evolution along the bent, planar, and twisted conformers, which coexist to produce intrinsic multiple fluorescence emissions. By installation a methyl or trifluoromethyl group on the ortho-site of N, N’-diphenyl-dihydrodibenzo [a,c] phenazine (DPAC), the enhanced steric effects change the fluorescence emission of DPAC from a dominant red band to well-resolved triple bands. Key molecular design strategies for VIE-active compounds are highlighted, revealing how the interplay of steric hindrance and electronic properties modulates excited-state energies and facilitates color tuning from blue to red. Advanced spectroscopy and theoretical studies are employed to explore the link between molecular conformation and emission properties. This lecture aims to stimulate broad interest across diverse fields, expanding both the scope of VIE research and the development of advanced functional materials. The results provide the proof of concept that the bent, planar, and twisted emissive states can coexist in the S1 PES of a polycyclic π-skeleton, which greatly expand the fundamental understanding of the excited-state structural relaxation.

陆俊

浙江大学

题目：Li-oxygen Battery: From Open System to Close System

锂 - 氧电池：从开放体系到封闭体系

Abstract: To meet the high-energy requirement that can enable the 40-miles electric drive Plug in Hybrid Electric Vehicle (P-HEVs), long range electric vehicle (EV) and smart grid, it is necessary to develop very high energy and high power cathodes and anodes that when combined in a battery system must offer 5,000 charge-depleting cycles, 15 years calendar life as well as excellent safety characteristics. These challenging requirements make it difficult for conventional cathode materials to be adopted in P-HEVs and EVs. Metal-air batteries, specifically Li-air battery, have large theoretical energy density about 2-10 times higher than those of lithium-ion batteries, and are frequently advocated as the solution toward next-generation electrochemical energy storage for applications including electric vehicles or grid energy storage. In this talk, we summarize the recent discovery on developing the Li-O2 battery, particularly highlighting the strategy how to move this system from an open to a close configuration.

林歆怡

南洋理工大学

题目：Converging Nanotechnology and Artificial Intelligence in SERS Molecular Detection

人工智能与纳米技术协同推进 SERS 分子检测研究

Abstract: Nanomaterial-based sensors (“nanosensors”) are attractive detection tool to detect multiple disease biomarkers swiftly and at point-of-care. These nanosensors make use nanometer-sized particles with unique physical, optical, and electrical properties to induce enhanced output signals in response to the detection and/or changes in concentrations of analytes. In this talk, I will discuss my group’s effort in using one of the nanosensors, surface-enhanced Raman scattering (SERS) nanosensors for various biomedical applications. SERS utilizes metallic nanoparticles such as Ag and Au to harness incoming light excitation, concentrate surface plasmon resonances, and boost the Raman vibrational signatures of biomarkers for ultrasensitive detection. Firstly, I will discuss various SERS platform fabrication strategies to bestow desirable chemoselectivity and increase target analyte/biomarker affinity to achieve higher detection sensitivity and selectivity. I will also highlight various emerging research strategies which utilize machine learning algorithms for rapid on-site prediction of disease infection. Specifically, how chemometrics and machine learning algorithms can transform the assimilation and interpretation of complex spectral data in biological samples by discerning more patterns hidden within the data, to achieve high throughput data analysis, sensitivity, and disease prediction. Collectively, these advances underscore the potential of SERS nanosensors and hybrid analytical strategies to address longstanding challenges in biomarker sensing and to accelerate innovation in biomedical diagnostics.