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Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange
Autor:
Evans, Matthew L., Bergsma, Johan, Merkys, Andrius, Andersen, Casper W., Andersson, Oskar B., Beltrán, Daniel, Blokhin, Evgeny, Boland, Tara M., Balderas, Rubén Castañeda, Choudhary, Kamal, Díaz, Alberto Díaz, García, Rodrigo Domínguez, Eckert, Hagen, Eimre, Kristjan, Montero, María Elena Fuentes, Krajewski, Adam M., Mortensen, Jens Jørgen, Duarte, José Manuel Nápoles, Pietryga, Jacob, Qi, Ji, Carrillo, Felipe de Jesús Trejo, Vaitkus, Antanas, Yu, Jusong, Zettel, Adam, de Castro, Pedro Baptista, Carlsson, Johan, Cerqueira, Tiago F. T., Divilov, Simon, Hajiyani, Hamidreza, Hanke, Felix, Jose, Kevin, Oses, Corey, Riebesell, Janosh, Schmidt, Jonathan, Winston, Donald, Xie, Christen, Yang, Xiaoyu, Bonella, Sara, Botti, Silvana, Curtarolo, Stefano, Draxl, Claudia, Cobas, Luis Edmundo Fuentes, Hospital, Adam, Liu, Zi-Kui, Marques, Miguel A. L., Marzari, Nicola, Morris, Andrew J., Ong, Shyue Ping, Orozco, Modesto, Persson, Kristin A., Thygesen, Kristian S., Wolverton, Chris, Scheidgen, Markus, Toher, Cormac, Conduit, Gareth J., Pizzi, Giovanni, Gražulis, Saulius, Rignanese, Gian-Marco, Armiento, Rickard
Publikováno v:
Digital Discovery, 2024, 3, 1509-1533
The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and chemical
Externí odkaz:
http://arxiv.org/abs/2402.00572
The automatic generation of floorplans given user inputs has great potential in architectural design and has recently been explored in the computer vision community. However, the majority of existing methods synthesize floorplans in the format of ras
Externí odkaz:
http://arxiv.org/abs/2207.13268
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:
Moreira-Pais, Alexandra, Ferreira, Rita, Baltazar, Telmo, Neuparth, Maria João, Vitorino, Rui, Reis-Mendes, Ana, Costa, Vera Marisa, Oliveira, Paula A., Duarte, José A.
Publikováno v:
In Biochemical and Biophysical Research Communications 12 November 2024 733
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part B
Publikováno v:
In Automation in Construction October 2024 166
Publikováno v:
In Journal of Building Engineering 1 October 2024 94
Autor:
Dias, Bruno Leonardo Scofano, de Rodrigues, Maura Calixto Cecherelli, Duarte, José Luiz Muniz Bandeira
Publikováno v:
In Jornal de Pediatria September-October 2024 100(5):519-526