Zobrazeno 1 - 10
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pro vyhledávání: '"Pollice A."'
We explore the hypothesis that LLMs, such as GPT-3.5 and GPT-4, possess broader cognitive functions, particularly in non-linguistic domains. Our approach extends beyond standard linguistic benchmarks by incorporating games like Tic-Tac-Toe, Connect F
Externí odkaz:
http://arxiv.org/abs/2407.11068
Chemical systems are interpreted through the species they contain and the reactions they may undergo, i.e., their chemical reaction network (CRN). In spite of their central importance to chemistry, the structure of CRNs continues to be challenging to
Externí odkaz:
http://arxiv.org/abs/2306.09553
Autor:
Lo, Alston, Pollice, Robert, Nigam, AkshatKumar, White, Andrew D., Krenn, Mario, Aspuru-Guzik, Alán
Publikováno v:
Digital Discovery 2, 897 (2023)
String-based molecular representations play a crucial role in cheminformatics applications, and with the growing success of deep learning in chemistry, have been readily adopted into machine learning pipelines. However, traditional string-based repre
Externí odkaz:
http://arxiv.org/abs/2302.03620
Semi-empirical quantum chemistry has recently seen a renaissance with applications in high-throughput virtual screening and machine learning. The simplest semi-empirical model still in widespread use in chemistry is H\"uckel's $\pi$-electron molecula
Externí odkaz:
http://arxiv.org/abs/2211.16763
Autor:
Nigam, AkshatKumar, Pollice, Robert, Tom, Gary, Jorner, Kjell, Willes, John, Thiede, Luca A., Kundaje, Anshul, Aspuru-Guzik, Alan
The efficient exploration of chemical space to design molecules with intended properties enables the accelerated discovery of drugs, materials, and catalysts, and is one of the most important outstanding challenges in chemistry. Encouraged by the rec
Externí odkaz:
http://arxiv.org/abs/2209.12487
Autor:
Lorena Ricciotti, Alessio Pollice
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110909- (2024)
The dataset collects and harmonizes financial data about public works in Italy, focusing on soil defence investments. The data are sourced from three distinct platforms: the Italian Ministry of Economics and Finance's open data platform OpenBDAP, the
Externí odkaz:
https://doaj.org/article/b9629d69848c4873b0ba272888764b31
Autor:
Julieta Pollice, Joaquín Piedrabuena
Publikováno v:
Cuadernos de Extensión Universitaria de la UNLPam, Vol 8, Iss 1 (2024)
La sistematización de experiencias de extensión universitaria es una herramienta esencial para un efectivo intercambio de saberes entre diferentes instituciones. Este intercambio resulta prioritario cuando involucra la calidad de vida de las poblac
Externí odkaz:
https://doaj.org/article/1fb1b7a8d8854dcaa8cc7f289afe0a32
Autor:
Krenn, Mario, Pollice, Robert, Guo, Si Yue, Aldeghi, Matteo, Cervera-Lierta, Alba, Friederich, Pascal, Gomes, Gabriel dos Passos, Häse, Florian, Jinich, Adrian, Nigam, AkshatKumar, Yao, Zhenpeng, Aspuru-Guzik, Alán
Publikováno v:
Nature Review Physics 4, 761 (2022)
Imagine an oracle that correctly predicts the outcome of every particle physics experiment, the products of every chemical reaction, or the function of every protein. Such an oracle would revolutionize science and technology as we know them. However,
Externí odkaz:
http://arxiv.org/abs/2204.01467
Autor:
Krenn, Mario, Ai, Qianxiang, Barthel, Senja, Carson, Nessa, Frei, Angelo, Frey, Nathan C., Friederich, Pascal, Gaudin, Théophile, Gayle, Alberto Alexander, Jablonka, Kevin Maik, Lameiro, Rafael F., Lemm, Dominik, Lo, Alston, Moosavi, Seyed Mohamad, Nápoles-Duarte, José Manuel, Nigam, AkshatKumar, Pollice, Robert, Rajan, Kohulan, Schatzschneider, Ulrich, Schwaller, Philippe, Skreta, Marta, Smit, Berend, Strieth-Kalthoff, Felix, Sun, Chong, Tom, Gary, von Rudorff, Guido Falk, Wang, Andrew, White, Andrew, Young, Adamo, Yu, Rose, Aspuru-Guzik, Alán
Publikováno v:
Cell Patterns 3(10), 100588(2022)
Artificial intelligence (AI) and machine learning (ML) are expanding in popularity for broad applications to challenging tasks in chemistry and materials science. Examples include the prediction of properties, the discovery of new reaction pathways,
Externí odkaz:
http://arxiv.org/abs/2204.00056
Autor:
Tumolo, Marina, Salerno, Carlo, Manzari, Caterina, Vergine, Pompilio, Marzano, Marinella, Notario, Elisabetta, Berardi, Giovanni, Piancone, Elisabetta, Pesole, Graziano, Pollice, Alfieri
Publikováno v:
In Journal of Water Process Engineering September 2024 66