Search Results - "Ramos, Mayk Caldas"

Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks by Ramos, Mayk Caldas, White, Andrew D

“…Aqueous solubility is a valuable yet challenging property to predict. Computing solubility using first-principles methods requires accounting for the competing…”
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14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon by Jablonka, Kevin Maik, Ai, Qianxiang, Al-Feghali, Alexander, Badhwar, Shruti, Bocarsly, Joshua D, Bran, Andres M, Bringuier, Stefan, Brinson, L. Catherine, Choudhary, Kamal, Circi, Defne, Cox, Sam, de Jong, Wibe A, Evans, Matthew L, Gastellu, Nicolas, Genzling, Jerome, Gil, María Victoria, Gupta, Ankur K, Hong, Zhi, Imran, Alishba, Kruschwitz, Sabine, Labarre, Anne, Lála, Jakub, Liu, Tao, Ma, Steven, Majumdar, Sauradeep, Merz, Garrett W, Moitessier, Nicolas, Moubarak, Elias, Mouriño, Beatriz, Pelkie, Brenden, Pieler, Michael, Ramos, Mayk Caldas, Ranković, Bojana, Rodriques, Samuel G, Sanders, Jacob N, Schwaller, Philippe, Schwarting, Marcus, Shi, Jiale, Smit, Berend, Smith, Ben E, Van Herck, Joren, Völker, Christoph, Ward, Logan, Warren, Sean, Weiser, Benjamin, Zhang, Sylvester, Zhang, Xiaoqi, Zia, Ghezal Ahmad, Scourtas, Aristana, Schmidt, KJ, Foster, Ian, White, Andrew D, Blaiszik, Ben

“…Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and…”
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Predicting small molecules solubility on endpoint devices using deep ensemble neural networks by Ramos, Mayk Caldas, White, Andrew D

“…Aqueous solubility is a valuable yet challenging property to predict. Computing solubility using first-principles methods requires accounting for the competing…”
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Correction: Predicting small molecules solubility on endpoint devices using deep ensemble neural networks by Ramos, Mayk Caldas, White, Andrew D

“…Correction for 'Predicting small molecules solubility on endpoint devices using deep ensemble neural networks' by Mayk Caldas Ramos and Andrew D. White,…”
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Bioactive sucralfate-based microneedles promote wound healing through reprogramming macrophages and protecting endogenous growth factors by Le, Zhicheng, Ramos, Mayk Caldas, Shou, Yufeng, Li, Renee R., Cheng, Hong Sheng, Jang, Clarisse JM, Liu, Ling, Xue, Chencheng, Li, Xianlei, Liu, Hong, Lim, Chwee Teck, Tan, Nguan Soon, White, Andrew D., Charles, Christopher John, Chen, Yongming, Liu, Zhijia, Tay, Andy

“…Impaired wound healing due to insufficient cell proliferation and angiogenesis is a significant physical and psychological burden to patients worldwide…”
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14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon by Jablonka, Kevin Maik, Ai, Qianxiang, Al-Feghali, Alexander, Badhwar, Shruti, Bocarsly, Joshua D, Bran, Andres M, Bringuier, Stefan, Brinson, L. Catherine, Choudhary, Kamal, Circi, Defne, Cox, Sam, de Jong, Wibe A, Evans, Matthew L, Gastellu, Nicolas, Genzling, Jerome, Gil, María Victoria, Gupta, Ankur K, Hong, Zhi, Imran, Alishba, Kruschwitz, Sabine, Labarre, Anne, Lála, Jakub, Liu, Tao, Ma, Steven, Majumdar, Sauradeep, Merz, Garrett W, Moitessier, Nicolas, Moubarak, Elias, Mouriño, Beatriz, Pelkie, Brenden, Pieler, Michael, Ramos, Mayk Caldas, Rankovi, Bojana, Rodriques, Samuel G, Sanders, Jacob N, Schwaller, Philippe, Schwarting, Marcus, Shi, Jiale, Smit, Berend, Smith, Ben E, Van Herck, Joren, Völker, Christoph, Ward, Logan, Warren, Sean, Weiser, Benjamin, Zhang, Sylvester, Zhang, Xiaoqi, Zia, Ghezal Ahmad, Scourtas, Aristana, Schmidt, K. J, Foster, Ian, White, Andrew D, Blaiszik, Ben

“…Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and…”
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A Review of Large Language Models and Autonomous Agents in Chemistry by Ramos, Mayk Caldas, Collison, Christopher J, White, Andrew D

“…Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis…”
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Bayesian Optimization of Catalysts With In-context Learning by Ramos, Mayk Caldas, Michtavy, Shane S, Porosoff, Marc D, White, Andrew D

“…Large language models (LLMs) are able to do accurate classification with zero or only a few examples (in-context learning). We show a prompting system that…”
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