Canan Dagdeviren

Excited to share our collaborative work with Padmini Rangamani and Emmet Francis, published today in Advanced Science! Using computational modeling and experimental validation, we demonstrate for the first time that mechanical force drives YAP translocation to the nucleus via nuclear envelope rupture. Shoutout to the brilliant experimental team from our lab: Ali Sarikhani, Vrund Patel, Dhivya Pushpa Meganathan, Leah S. and Anum Tahir who made this work possible. Stay tuned for more exciting studies on this topic from the Jahed and Rangamani labs! Read our paper here: https://lnkd.in/g7ZXF8e4

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Ion bombardment during sputtering matters. This work, led by recent graduate from my group Liron Shvilberg, shows that when growing MgO on GaN via reactive RF magnetron sputtering, the Mg is highly ionized and strikes the GaN surface with energies up to 30 eV. This is sufficient to implant Mg approximately 1 nm into the GaN and leads to an interfacial phase. With sufficient growth temperature, this interfacial phase is sufficiently crystalline so as to allow for epitaxial MgO growth and excellent MOS properties. This was a collaborative effort with the groups of Jonathan Wierer, Stephen McDonnell, and Nikhil Shukla. It was also the first publication including UVA undergraduate researcher joanne kuan. Thanks to the Defense Advanced Research Projects Agency (DARPA) for funding this work to explore materials for high temperature electronics.

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Excited to share new research on halide perovskite semiconductors thanks to Madeleine Breshears, Justin Pothoof, and Rajiv Giridharagopal! We use time-resolved electrostatic force microscopy (trEFM) to map surface potential dynamics during photoexcitation, unifying diffraction-limited time-resolved PL with sub-diffraction trEFM. This work reveals how morphology and surface passivation control photocarrier lifetimes and recombination in these semiconductors. Highlights: 🔬 Unified framework for interpreting trEFM as surface potential equilibration 🧪 Cross-validation with time-resolved PL & drift-diffusion simulations 🧴 Comparison of passivation strategies (APTMS, AEAPTMS, PEAI) 📉 Nanoscale heterogeneity in recombination 📄 Full paper: https://lnkd.in/gaFHPtTB Thanks to @Justin Pothoof, @Madeleine Breshears, and @Raj Giridharagopal!

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It's out & hot 🔥 Not only because it just went online but since we show that engineered heat patterns are super effective in manipulating fluid flows & particles. If you work in microfluidics, or need reconfigurable environments in your experiments, give it a read! Brief summary: 🔬✨ Using structured light, we created 3D thermal barriers 🌡️💧 in microchannels without requiring any walls! Barriers reshape flow & move particles 🎯 on-demand, enabling fast, contact-free control for lab-on-chip systems. Projected patterns via a spatial light modulator form barriers that steer ↩️, split ✂️, merge ➕, or trap 🌀 particles. Designs switch in <100 ms ⚡ enabling real-time reconfiguration for complex microfluidic tasks. 🎯📏 Arrays sort particles by size similar to a microscopic version of a Galton board 🎲 using only light & heat 🌞💧. Larger ones deflect differently than smaller ones, enabling precise, programmable sorting with no pumps or any moving parts. 🚀 Our light-powered, reconfigurable #microfluidics opens the door to multifunctional, adaptive devices, which are ideal for lab-on-chip chemical synthesis, diagnostics, cell and analyte handling. These feedback-tuned thermal landscapes could transform compact experimental workflows. #optothermal Thanks to my wonderful collaborators Romain Quidant,Carlos D. González, Emilio Ruiz Reina, Raúl Alberto Rica Alarcón, Marc Sulliger and Jaime Ortega Arroyo for this successful project, sponsored by a PostDoctoral Fellowship of Swiss National Science Foundation SNSF. https://lnkd.in/dYXTCxhr

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Machine learning for polymers: Our latest book about machine learning for polymers is out online. It explains how machine learning models are created, trained, and evaluated while focusing specifically on applications in polymer informatics. We introduce techniques suited to polymer data, providing a foundational understanding that the reader can use as a launchpad for more advanced methods. We have also provided tutorials at the end of each chapter. With this additional tool, the reader will be well-equipped to begin implementing these machine learning models independently and contribute to the research literature surrounding the uses of neural networks within polymer informatics. Great effort by all authors: Eric Inae, Yuhan Liu, Yihan Zhu, Jiaxin Xu, Gang Liu, Renzheng Zhang, Tengfei Luo and Meng Jiang.

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Research in Focus: Purdue University School of Materials Engineering Can brittle intermetallics become deformable at room temperature? Researchers from Purdue MSE, led by Professors Xinghang Zhang and Haiyan Wang, have shown that they can, by introducing mobile dislocations across coherent interfaces. Their new publication in Scripta Materialia puts forward a CoAl/Fe nanolaminate system where mobile dislocations, initially generated in the Fe layers, continuously propagate into CoAl. This allows the intermetallic to exhibit high strength, significant work hardening, and most notably, plastic deformation at room temperature. This is an interesting finding for structural materials. The ability to retain the high strength of CoAl and overcome its intrinsic brittleness could make intermetallics viable for many engineering applications. This work provides information on the dislocation behavior at interfaces and also introduces a generalizable pathway for strengthening and toughening other brittle materials, including ceramics. The full article is available here: https://lnkd.in/gvVWg2kk Congratulations to Ke Xu, Anand Mathew, Zhongxia Shang, Yifan Zhang, Chao Shen, Benson Tsai, Jianan Shen, Haiyan Wang, and Xinghang Zhang on this impactful work. #MaterialsScience #Intermetallics #PurdueMSE #ResearchSpotlight #Nanomechanics #PurdueEngineering

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I'm thrilled to announce that our paper, "Enhanced Supercapacitor Performance Through Electrochemically Synthesized Poly(Aniline-co-Thiophene–Triazine) Derivatives," has been published in the Journal of Electronic Materials. This work, in collaboration with Yıldız Technical University Yıldız Teknik Üniversitesi (YTU) and Eskisehir Technical University (ESTU) Eskişehir Teknik Üniversitesi, explores innovative approaches in enhancing supercapacitor performance. It's an exciting step in advancing energy storage technologies. genctenresearchgroup - #EnergyStorage #Supercapacitors #Electrochemistry #MaterialsScience #Research #Innovation https://lnkd.in/dkz8wFRd

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