Results 101 to 110 of about 8,826,545 (192)

Differentiable Thermodynamic Phase-Equilibria for Machine Learning. [PDF]

J Chem Inf Model
Ben Hicham KK, Ascani M, Rittig JG, Mitsos A.   +3 more
europepmc   +1 more source

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

Advanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti, Sergio Martínez‐Saiz, Morena Cervino, Edoardo Stanzani, Sandra Jenatsch, Qingsen Zeng, Joo Sung Kim, Dong‐Hyeok Kim, Eojin Yoon, Tae‐Woo Lee, Daniel Tordera, Henk J. Bolink   +11 more
wiley   +1 more source

Universality for Taylor coefficients of rational functions under perturbations. [PDF]

Proc Natl Acad Sci U S A
Baryshnikov Y, Pemantle R.
europepmc   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Quantum algorithms for equational reasoning. [PDF]

Sci Adv
Rattacaso D, Jaschke D, Ballarin M, Siloi I, Montangero S.   +4 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

GenAI-Net: A generative AI framework for automated biomolecular network design. [PDF]

Sci Adv
Filo M, Rossi N, Fang Z, Khammash M.
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design. [PDF]

Ind Eng Chem Res
Muthyala MR, Sorourifar F, Tan T, Peng Y, Paulson JA.   +4 more
europepmc   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source