More Like this

1. Improved Synthesis of Lithium Dendrites for the Synthesis of Trimethylsilylmethyllithium

   https://doi.org/10.15227/orgsyn.101.0342  

   Gonzalez, Raquel; Hsu, Han-Hsiang; Thomas, Andy A (January 2025, Organic Syntheses)

   In the preparation of organolithium reagents, the use of highly activated lithium metal surfaces is essential. Currently, commercially available sources provide high surface area lithium in the form of powders or dispersions. Our group has presented a new approach to synthesize lithium with clean and high surface areas up to 100 times greater than conventional Li-dispersion. Our method involves the use of liquid ammonia (NH3) to effectively clean the lithium surface, resulting in the controlled dendritic growth of lithium structures along the flask wall. This freshly synthesized and highly activated lithium exhibits consistency and reliability, enabling the scalable production of organolithium reagents, ranging from 0.1 mmol to 0.5 mole. Herein, we outline the procedure for applying 5 grams of Li-dendrites in the synthesis of (trimethylsilyl)methylchloride, highlighting the potential impact of our method on organometallic chemistry. 

   more » « less
2. The Total Synthesis of Hyperforin

   https://doi.org/10.1055/s-0035-1561619  

   Ting, Chi; Maimone, Thomas (June 2016, Synlett)
3. ULSA: unified language of synthesis actions for the representation of inorganic synthesis protocols

   https://doi.org/10.1039/d1dd00034a  

   Wang, Zheren; Cruse, Kevin; Fei, Yuxing; Chia, Ann; Zeng, Yan; Huo, Haoyan; He, Tanjin; Deng, Bowen; Kononova, Olga; Ceder, Gerbrand (June 2022, Digital Discovery)

   Applying AI power to predict syntheses of novel materials requires high-quality, large-scale datasets. Extraction of synthesis information from scientific publications is still challenging, especially for extracting synthesis actions, because of the lack of a comprehensive labeled dataset using a solid, robust, and well-established ontology for describing synthesis procedures. In this work, we propose the first unified language of synthesis actions (ULSA) for describing inorganic synthesis procedures. We created a dataset of 3040 synthesis procedures annotated by domain experts according to the proposed ULSA scheme. To demonstrate the capabilities of ULSA, we built a neural network-based model to map arbitrary inorganic synthesis paragraphs into ULSA and used it to construct synthesis flowcharts for synthesis procedures. Analysis of the flowcharts showed that (a) ULSA covers essential vocabulary used by researchers when describing synthesis procedures and (b) it can capture important features of synthesis protocols. The present work focuses on the synthesis protocols for solid-state, sol–gel, and solution-based inorganic synthesis, but the language could be extended in the future to include other synthesis methods. This work is an important step towards creating a synthesis ontology and a solid foundation for autonomous robotic synthesis. 

   more » « less
4. The Total Synthesis of (–)-Scabrolide A

   https://doi.org/10.1021/jacs.0c02513  

   Hafeman, Nicholas J.; Loskot, Steven A.; Reimann, Christopher E.; Pritchett, Beau P.; Virgil, Scott C; Stoltz, Brian M. (July 2020, Journal of the American Chemical Society)
5. The total synthesis of (−)-indolactam I

   https://doi.org/10.1016/j.tet.2019.04.069  

   Mendoza, Manuel; Rao, Niveda; Tran, UyenPhuong; Castaneda, Catherine; Billingsley, Kelvin L. (August 2019, Tetrahedron)