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Adilson E. Motter Profile
Adilson E. Motter

@adilson_motter

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Complex systems and networks. Professor of Physics and Director of the Center for Network Dynamics, Northwestern University: https://t.co/0JCwDsoA4l

Evanston, IL
Joined November 2017
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@netscisociety
Network Science Society
18 days
Mark your calendars for the next colloquium! We're thrilled to have Pip Pattison giving a perspective on social networks from Down Under. Note the non-standard time and sign up for a Zoom link at: https://t.co/WozuB5Bdfk
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@NetSciConf
NetSci 2026
19 days
🚨 𝗡𝗲𝘁𝗦𝗰𝗶 𝟮𝟬𝟮𝟲 𝗿𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻! Secure your spot at the flagship conference of the Network Science Society and take advantage of the early bird registration special - https://t.co/oyOeKZnHXw 📅 June 1–5, 2026 | Hyatt Regency, Cambridge, MA
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@adilson_motter
Adilson E. Motter
12 days
Our paper “Interpretable Disorder-Promoted Synchronization and Coherence in Coupled Laser Networks” is out in PRL! 💡 It shows how disorder can be systematically used to create a powerful laser out of many small ones. 👉 https://t.co/IMEnZVWpHN 👉 https://t.co/N3qk1yTna4
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@adilson_motter
Adilson E. Motter
16 days
Our paper “Optimal flock formation induced by agent heterogeneity” is out! 🐦🤖 Suitable agent heterogeneity can boost collective performance and outperform homogeneous systems. Many thanks to Montanari, Barioni & Duan for the great collaboration! 👉 https://t.co/iVeee28FdF
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@netscisociety
Network Science Society
1 month
This month, no colloquium but a special session about careers in network science! Join us and an all-star panel on October 29. Register here for a Zoom link: https://t.co/IeUurEXdHr
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@netscisociety
Network Science Society
2 months
In just about a week, the season's first NetSci Colloquium will happen. And we're starting with a bang . . . with none other than Iain Couzin talking about Collective Behavior in Animal Groups. September 24, 10 AM ET. Register here to get a Zoom link: https://t.co/WozuB5Bdfk
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@adilson_motter
Adilson E. Motter
3 months
Our new paper, "Hybrid satellite–fiber quantum network," is out! We show how a hybrid design can outperform purely ground or satellite approaches, facilitating high-fidelity entanglement across large scales. Gr8 collaboration with Y. Shao & S. Guha! 🔗 https://t.co/JH1Jqon4zM
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@adilson_motter
Adilson E. Motter
3 months
Our list of amazing confirmed speakers includes: F. Bullo @FrancescoBullo D. Chklovskii @chklovskii L. Kozachkov @Leokoz8 E. Mallada @EnriqueMalladaG F. Pasqualetti @Fabiopas82 A. Ribeiro @ahortaribeiro G. Russo @GRusso_UniSa J. Cortés A. Montanari R. Sepulchre S. Zampieri
@adilson_motter
Adilson E. Motter
3 months
Excited to announce the Neurocomputation & Dynamics workshop at #CDC2025 in Rio! Join us on Dec 9 for a full day of brain-inspired computation, neural dynamics, and control theory. Students & postdocs—submit abstracts for Lightning Talk session by Oct 31: https://t.co/c3vc588MNk
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@adilson_motter
Adilson E. Motter
3 months
Excited to announce the Neurocomputation & Dynamics workshop at #CDC2025 in Rio! Join us on Dec 9 for a full day of brain-inspired computation, neural dynamics, and control theory. Students & postdocs—submit abstracts for Lightning Talk session by Oct 31: https://t.co/c3vc588MNk
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@adilson_motter
Adilson E. Motter
4 months
@NorthwesternU: Grid congestion is the key obstacle to EV emissions reduction. Even if EVs and clean energy scale up, current transmission limits could undo one‑third of CO₂ savings. https://t.co/MB8f7RCAYG
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news.northwestern.edu
Grid congestion is the key obstacle to EV emissions reduction, new study finds
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@adilson_motter
Adilson E. Motter
4 months
Our latest study, “Grid congestion stymies climate benefit from U.S. vehicle electrification,” is now live in Nat Commun. It shows that transmission constraints limit CO2 cuts from EVs, but modest grid upgrades could fix it. https://t.co/TJyIm1eQav #CO2 #EVs #Grid #Complexity
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@adilson_motter
Adilson E. Motter
4 months
The Chaos Focus Issue "Topics in Nonlinear Science" — honoring David Campbell’s 80th — is now complete! 🎉 Liz Bradley, Lou Pecora & I are thrilled to introduce this 37-paper collection with 116 authors, including 23 of David’s former mentees. 🔗
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pubs.aip.org
Nonlinear science has evolved significantly over the 35 years since the launch of the journal Chaos. This Focus Issue, dedicated to the 80th Birthday of its fou
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@BickMath
Christian Bick
5 months
If you couple two systems with bistability between oscillations of distinct effective frequencies, you have to make them different for the distinct states to synchronize in frequency. Work with @adilson_motter and @KissGroupSLU out in @ScienceAdvances.
science.org
Analyses and experiments on multistable networks show that frequency detuning can promote synchronization.
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@adilson_motter
Adilson E. Motter
5 months
Massive thanks to J.L. Ocampo-Espindola, C. Bick, and I.Z. Kiss for their brilliant contributions, which made this work possible.
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@adilson_motter
Adilson E. Motter
5 months
Our new paper in Sci Adv: Frequency synchronization induced by frequency detuning https://t.co/7Ih8YssKJ5 While classical theories suggest that frequency detuning causes desynchronization, new analyses & experiments on multistable networks show it can promote synchronization.
science.org
Analyses and experiments on multistable networks show that frequency detuning can promote synchronization.
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@adilson_motter
Adilson E. Motter
5 months
"AI identifies key gene sets that cause complex disease" https://t.co/FuIJ2wSM1R Nice news article on our new approach to identify gene sets involved in polygenic traits & how it can serve as a tool to for the development of new multi-target treatments for complex diseases.
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news.northwestern.edu
New tool could pave the way for new multi-target therapies, personalized
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@adilson_motter
Adilson E. Motter
5 months
Many thanks to B. Kuznets-Speck, B.K. Ogonor, and T.P. Wytock for their invaluable contributions to this work.
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@adilson_motter
Adilson E. Motter
5 months
Just out in PNAS: "Generative prediction of causal gene sets responsible for complex traits" https://t.co/pqfWggUJn6 Excited to share TWAVE, our approach for predicting gene sets behind complex phenotypes and diseases by combining transcriptomic data & perturbation responses!
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