Enabling Tools and Techniques for Organic Synthesis: A Practical Guide to Experimentation, Automation, and Computation

Provides the practical knowledge of how new technologies impact organic synthesis, enabling the reader to understand literature, evaluate different techniques, and solve synthetic challenges

In recent years, new technologies have impacted organic chemistry to the point that they are no longer the sole domain of dedicated specialists. Computational chemistry, for example, can now be used by organic chemists to help predict outcomes, understand selectivity, and decipher mechanisms. To be prepared to solve various synthetic problems, it is increasingly important for chemists to familiarize themselves with a range of current and emerging tools and techniques.

Enabling Tools and Techniques for Organic Synthesis A Practical Guide to Experimentation, Automation, and Computation provides a broad overview of contemporary research and new technologies applied to organic synthesis. Detailed chapters, written by a team of experts from academia and industry, describe different state-of-the-art techniques such as computer-assisted retrosynthesis, spectroscopy prediction with computational chemistry, high throughput experimentation for reaction screening, and robotic and automated data collection methods. Emphasizing real-world practicality, the book includes chapters on programming for synthetic chemists, Machine Learning (ML) in chemical synthesis, concepts and applications of computational chemistry, and more.

• Highlights the most recent methods in organic synthesis and describes how to employ these techniques in a reader's own research
• Familiarize readers with the application of computational chemistry and automation technology in organic synthesis
• Introduces synthetic chemists to electrochemistry, photochemistry, and flow chemistry
• Helps readers comprehend the literature, assess the strengths and limitations of each technique, and apply those tools to solve synthetic challenges
• Provides case studies and guided examples with graphical illustrations in each chapter

Enabling Tools and Techniques for Organic Synthesis: A Practical Guide to Experimentation, Automation, and Computation is an invaluable reference for scientists needing an up-to-date introduction to new tools, graduate students wanting to expand their organic chemistry skills, and instructors teaching courses in advanced techniques for organic synthesis.

提供實用知識，了解新技術如何影響有機合成，使讀者能夠理解文獻，評估不同技術，並解決合成挑戰。

近年來，新技術對有機化學產生了影響，以至於它們不再是專門專家的專利。例如，計算化學現在可以被有機化學家用來幫助預測結果，理解選擇性和解讀機制。為了準備解決各種合成問題，化學家越來越重要的是熟悉一系列當前和新興的工具和技術。

《有機合成的啟用工具和技術：實驗、自動化和計算的實用指南》提供了對當代研究和應用於有機合成的新技術的廣泛概述。由來自學術界和工業界的專家撰寫的詳細章節描述了不同的最新技術，例如計算輔助反合成，計算化學預測光譜，高通量實驗用於反應篩選，以及機器人和自動數據收集方法。強調實際應用，本書包括有關合成化學家的編程、化學合成中的機器學習（ML）、計算化學的概念和應用等章節。

本書的亮點包括：
- 突出有機合成中最新的方法，並描述如何在讀者自己的研究中應用這些技術
- 使讀者熟悉計算化學和自動化技術在有機合成中的應用
- 將合成化學家介紹給電化學、光化學和流動化學
- 幫助讀者理解文獻，評估每種技術的優點和局限性，並應用這些工具解決合成挑戰
- 每章提供案例研究和引導性示例，並附有圖形插圖

《有機合成的啟用工具和技術：實驗、自動化和計算的實用指南》是科學家需要了解新工具的最新介紹的寶貴參考資料，研究生想擴展其有機化學技能的參考書，以及教授高級有機合成技術課程的教師。

Stephen G. Newman, PhD is an Associate Professor and Tier 2 Canada Research Chair at the Centre for Catalysis Research and Innovation, University of Ottawa, Canada. His current work focuses on transition metal catalysis and flow chemistry strategies to develop new chemical reactions and processes for application in the pharmaceutical, fine, and bulk chemical industries.

Stephen G. Newman, PhD 是加拿大渥太華大學催化研究與創新中心的副教授和二級加拿大研究主席。他目前的研究重點是過渡金屬催化和流動化學策略，以開發新的化學反應和過程，應用於製藥、精細化工和大宗化工行業。