Atomistic Line Graph Neural Network for improved materials property predictions von Choudhary, Kamal, DeCost, Brian

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High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theory von Choudhary, Kamal, Kalish, Irina, Beams, Ryan, Tavazza, Francesca

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Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning von Jha, Dipendra, Choudhary, Kamal, Tavazza, Francesca, Liao, Wei-keng, Choudhary, Alok, Campbell, Carelyn, Agrawal, Ankit

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The neurophysiology of language processing shapes the evolution of grammar: evidence from case marking von Bickel, Balthasar, Witzlack-Makarevich, Alena, Choudhary, Kamal K, Schlesewsky, Matthias, Bornkessel-Schlesewsky, Ina

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Data-driven discovery of 3D and 2D thermoelectric materials von Choudhary, Kamal, Garrity, Kevin F, Tavazza, Francesca

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Recent advances and applications of deep learning methods in materials science von Choudhary, Kamal, DeCost, Brian, Chen, Chi, Jain, Anubhav, Tavazza, Francesca, Cohn, Ryan, Park, Cheol Woo, Choudhary, Alok, Agrawal, Ankit, Billinge, Simon J. L., Holm, Elizabeth, Ong, Shyue Ping, Wolverton, Chris

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Cross-property deep transfer learning framework for enhanced predictive analytics on small materials data von Gupta, Vishu, Choudhary, Kamal, Tavazza, Francesca, Campbell, Carelyn, Liao, Wei-keng, Choudhary, Alok, Agrawal, Ankit

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Exploiting redundancy in large materials datasets for efficient machine learning with less data von Li, Kangming, Persaud, Daniel, Choudhary, Kamal, DeCost, Brian, Greenwood, Michael, Hattrick-Simpers, Jason

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Neural signatures of syntactic variation in speech planning von Sauppe, Sebastian, Choudhary, Kamal K, Giroud, Nathalie, Blasi, Damián E, Norcliffe, Elisabeth, Bhattamishra, Shikha, Gulati, Mahima, Egurtzegi, Aitor, Bornkessel-Schlesewsky, Ina, Meyer, Martin, Bickel, Balthasar

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Elastic properties of bulk and low-dimensional materials using Van der Waals density functional von Choudhary, Kamal, Cheon, Gowoon, Reed, Evan, Tavazza, Francesca

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Database of Wannier tight-binding Hamiltonians using high-throughput density functional theory von Garrity, Kevin F., Choudhary, Kamal

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Computational Discovery of Inorganic Electrides from an Automated Screening von Zhu, Qiang, Frolov, Timofey, Choudhary, Kamal

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Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less data von Li, Kangming, Persaud, Daniel, Choudhary, Kamal, DeCost, Brian, Greenwood, Michael, Hattrick-Simpers, Jason

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Data-driven design of high pressure hydride superconductors using DFT and deep learning von Wines, Daniel, Choudhary, Kamal

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A critical examination of robustness and generalizability of machine learning prediction of materials properties von Li, Kangming, DeCost, Brian, Choudhary, Kamal, Greenwood, Michael, Hattrick-Simpers, Jason

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Characterization of Few-Layer 1T′ MoTe2 by Polarization-Resolved Second Harmonic Generation and Raman Scattering von Beams, Ryan, Cançado, Luiz Gustavo, Krylyuk, Sergiy, Kalish, Irina, Kalanyan, Berç, Singh, Arunima K, Choudhary, Kamal, Bruma, Alina, Vora, Patrick M, Tavazza, Francesca, Davydov, Albert V, Stranick, Stephan J

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AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design von Choudhary, Kamal

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Uncertainty Prediction for Machine Learning Models of Material Properties von Tavazza, Francesca, DeCost, Brian, Choudhary, Kamal

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Can a deep-learning model make fast predictions of vacancy formation in diverse materials? von Choudhary, Kamal, Sumpter, Bobby G.

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Quantum computation for predicting electron and phonon properties of solids von Choudhary, Kamal

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