Marin Soljačić
Atomic and Molecular Physics, and Optics · 2003–2024
A researcher in the Science corpus: 38 papers; trusts 25 researchers and is trusted by 62 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 344 citations into it; #231 of 7,135 by trust here, #71 by citations
- Electrical and Electronic Engineering — 224 citations into it; #1,992 of 16,539 by trust here, #847 by citations
- Artificial Intelligence — 121 citations into it; #32,817 of 35,345 by trust here, #5,788 by citations
- Materials Chemistry — 116 citations into it
- Electronic, Optical and Magnetic Materials — 61 citations into it; #2,094 of 2,886 by trust here, #1,656 by citations
- Condensed Matter Physics — 39 citations into it
- Surfaces, Coatings and Films — 35 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
Whom Marin Soljačić trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David A. B. Miller
- John D. Joannopoulos
- S. Raghu
- Steven G. Johnson
- Shanhui Fan
- Amnon Yariv
- M. Hafezi
- Ling Lu
- Alex Krizhevsky
- Geoffrey E. Hinton
Who trusts Marin Soljačić overall
- Masaya Notomi
- Mehdi Kiani
- T. Ozawa
- Ling Lu
- H. Price
- Miguel Ángel Gracia Bandrés
- Luis E. F. Foa Torres
- M. Rechtsman
- Xuezhe Wei
- Y. Kartashov
Papers from Marin Soljačić's perspective
Ordered by how strongly the researchers Marin Soljačić trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- This PDF file includes: Materials and Methods
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Wireless Power Transfer via Strongly Coupled Magnetic Resonances (2007) — 5,542 citations
- Experimental observation of Weyl points (2015) — 923 citations
- Enhancement of nonlinear effects using photonic crystals (2004) — 800 citations
- Deep learning with coherent nanophotonic circuits (2016) — 2,982 citations
- Simultaneous mid-range power transfer to multiple devices (2010) — 397 citations
- Observation of trapped light within the radiation continuum (2013) — 1,313 citations
- Bound states in the continuum (2016) — 2,263 citations
- Topological nature of optical bound states in the continuum. (2014) — 778 citations
- A nanophotonic solar thermophotovoltaic device. (2014) — 822 citations
- Roughness losses and volume-current methods in photonic-crystal waveguides (2005) — 143 citations
- Observation of bulk Fermi arc and polarization half charge from paired exceptional points (2017) — 638 citations
- Topological photonics (2014) — 4,283 citations
- Trapping, corralling and spectral bonding of optical resonances through optically induced potentials (2007) — 149 citations
- Bloch surface eigenstates within the radiation continuum (2013) — 187 citations
- Maximal spontaneous photon emission and energy loss from free electrons (2018) — 139 citations
- Nanophotonic particle simulation and inverse design using artificial neural networks (2017) — 892 citations
- Large-Scale Optical Neural Networks based on Photoelectric Multiplication (2018) — 413 citations
- Solar thermophotovoltaic energy conversion systems with two-dimensional tantalum photonic crystal absorbers and emitters (2014) — 175 citations
- Inference in artificial intelligence with deep optics and photonics (2020) — 901 citations
- KAN: Kolmogorov-Arnold Networks (2024) — 1,915 citations