The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Tonio Buonassisi sits on this spectrum.
This scientist: 510 publications — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,163 publications or more.
The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tonio Buonassisi sits on this spectrum.
This scientist: 81 D-Index — 80th percentile
80% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 165 D-Index or more.
Tonio Buonassisi is affiliated with MIT in the United States and conducts research primarily in the fields of Materials Science and Engineering. Their work spans several main and subfields, reflecting a multidisciplinary approach to materials development and optimization. The major areas of focus include Materials Chemistry, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, and Computational Theory and Mathematics.
The scientist's research explores a broad range of topics within materials science, with significant attention to machine learning applications, novel material synthesis, and characterization techniques. Key research topics include Machine Learning in Materials Science, Perovskite Materials and Applications, Quantum Dots Synthesis and Properties, Chalcogenide Semiconductor Thin Films, Electronic and Structural Properties of Oxides, Computational Drug Discovery Methods, and X-ray Diffraction in Crystallography.
Tonio Buonassisi has authored numerous papers with recurring appearances in notable publication venues. Frequent publication platforms include arXiv (Cornell University), Matter, npj Computational Materials, Nature Communications, and Digital Discovery. The volume of work in these venues demonstrates active engagement with both preprint and peer-reviewed communities in the materials science domain.
The following recent papers highlight themes related to autonomous experimentation, machine learning, and process optimization in materials science:
The scientist frequently collaborates with a network of peers, demonstrating consistent co-authorship with colleagues such as Shijing Sun, Zekun Ren, Siyu Tian, Ian Marius Peters, and Armi Tiihonen. These collaborations reflect an interdisciplinary and collective approach to advancing experimental and computational materials research.
Juan-Pablo Correa-Baena;Juan-Pablo Correa-Baena;Michael Saliba;Tonio Buonassisi;Michael Grätzel
Kevin A. Bush;Axel F. Palmstrom;Zhengshan J. Yu;Mathieu Boccard
Colin D. Bailie;M. Greyson Christoforo;Jonathan P. Mailoa;Andrea R. Bowring
Riley E. Brandt;Vladan Stevanović;Vladan Stevanović;David S. Ginley;Tonio Buonassisi
Jonathan P. Mailoa;Colin D. Bailie;Eric Carl Johlin;Eric T. Hoke
Jason J. Yoo;Sarah Wieghold;Melany C. Sponseller;Matthew R. Chua
Ian Mathews;Sai Nithin Kantareddy;Tonio Buonassisi;Ian Marius Peters
Joseph Berry;Tonio Buonassisi;David A. Egger;Gary Hodes
Prasert Sinsermsuksakul;Katy Hartman;Sang Bok Kim;Jaeyeong Heo
Nancy M. Haegel;Robert Margolis;Tonio Buonassisi;David Feldman
Riley E. Brandt;Jeremy R. Poindexter;Prashun Gorai;Prashun Gorai;Rachel C. Kurchin
Robert L. Z. Hoye;Riley E. Brandt;Anna Osherov;Vladan Stevanović;Vladan Stevanović
Casandra R. Cox;Jungwoo Z. Lee;Daniel G. Nocera;Tonio Buonassisi
Juan Pablo Correa-Baena;Kedar Hippalgaonkar;Jeroen van Duren;Shaffiq Jaffer
Andrei A. Istratov;Tonio Buonassisi;R.J. McDonald;A.R. Smith
Juan-Pablo Correa-Baena;Juan-Pablo Correa-Baena;Yanqi Luo;Thomas M. Brenner;Jordan Snaider
Eric Stach;Brian DeCost;A. Gilad Kusne;A. Gilad Kusne;Jason Hattrick-Simpers
Shijing Sun;Noor T.P. Hartono;Zekun D. Ren;Zekun D. Ren;Felipe Oviedo
Yun Seog Lee;Danny Chua;Riley E. Brandt;Sin Cheng Siah
Katy Hartman;J.L. Johnson;Mariana I. Bertoni;Daniel Recht
Vera Steinmann;R. Jaramillo;Katy Hartman;Rupak Chakraborty
Chia-Hao Marcus Chuang;Andrea Maurano;Riley E. Brandt;Gyu Weon Hwang
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