Attila Cangi - RankMe

15 papers B 1Misc 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Machine Learning Time Propagators for Time-Dependent Density Functional Theory Simulations. CoRR Karan Shah, Attila Cangi
2025	J	`jnl`	Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations. Comput. Phys. Commun. Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J. Callow, Daniel Kotik, Steve Schmerler, Matthew C. Barry, James M. Goff, Andrew Rohskopf, Dayton J. Vogel, Normand A. Modine, Aidan P. Thompson, Sivasankaran Rajamanickam
2024	J	`jnl`	Accelerating Electron Dynamics Simulations through Machine Learned Time Propagators. CoRR Karan Shah, Attila Cangi
2024	J	`jnl`	Bridging the gap in electronic structure calculations via machine learning. Nat. Comput. Sci. Attila Cangi
2024	J	`jnl`	Inverting the Kohn-Sham equations with physics-informed machine learning. Mach. Learn. Sci. Technol. Vincent Martinetto, Karan Shah, Attila Cangi, Aurora Pribram-Jones
2024	J	`jnl`	Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations. CoRR Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J. Callow, Daniel Kotik, Steve Schmerler, Matthew C. Barry, James M. Goff, Andrew Rohskopf, Dayton J. Vogel, Normand A. Modine, Aidan P. Thompson, Sivasankaran Rajamanickam
2023	J	`jnl`	A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal
2023	B	`conf`	Deep Spiking Quantum Neural Network for Noisy Image Classification. IJCNN Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi
2023	J	`jnl`	Physics-enhanced neural networks for equation-of-state calculations. Mach. Learn. Sci. Technol. Timothy J. Callow, Jan Nikl, Eli Kraisler, Attila Cangi
2023	Misc	`conf`	Random Quantum Neural Networks for Noisy Image Recognition. QCE Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi
2022	J	`jnl`	A Scalable 5, 6-Qubit Grover's Quantum Search Algorithm. CoRR Dinesh Reddy Vemula, Debanjan Konar, Sudeep Satheesan, Sri Mounica Kalidasu, Attila Cangi
2022	J	`jnl`	Random Quantum Neural Networks (RQNN) for Noisy Image Recognition. CoRR Debanjan Konar, Erol Gelenbe, Soham Bhandary, Aditya Das Sarma, Attila Cangi
2022	J	`jnl`	Training-free hyperparameter optimization of neural networks for electronic structures in matter. Mach. Learn. Sci. Technol. Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi
2022	—	`conf`	atoMEC: An open-source average-atom Python code. SciPy Timothy J. Callow, Daniel Kotik, Eli Kraisler, Attila Cangi
2020	J	`jnl`	Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks. CoRR J. Austin Ellis, Attila Cangi, Normand A. Modine, J. Adam Stephens, Aidan P. Thompson, Sivasankaran Rajamanickam