Results 141 to 150 of about 3,546 (213)

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Embodying physical computing into soft robots. [PDF]

Nat Commun
Wang J, Zhou Z, Kahak A, Li S.
europepmc   +1 more source

Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures

Advanced Materials, EarlyView.
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko, Jaimin Kang, Su Jae Kim, Hanhwi Jang, Do‐Kyeong Nam, Minseok Kang, Sunghoon Kim, Yeon Sik Jung, Se‐Young Jeong, Kab‐Jin Kim, Byong‐Guk Park   +10 more
wiley   +1 more source

Learning interpretable network dynamics via universal neural symbolic regression. [PDF]

Nat Commun
Hu J, Cui J, Yang B.
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Propagation of optical solitons and dispersive solitary wave structure in complex media to the nonlinear integrable system via computational technique. [PDF]

Sci Rep
Iqbal M, Faridi WA, Algethamie R, Aljohani A, El-Meligy M, Mohammad N, Alnowibet KA.   +6 more
europepmc   +1 more source

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source

Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends. [PDF]

Sensors (Basel)
Komal A, Li S.
europepmc   +1 more source

Oppositely Charged Single Enzyme Nanogels Form Versatile Coacervates for Efficient Enzyme Cascade Catalysis

Advanced Materials, EarlyView.
Oppositely charged single enzyme nanogels (SENs) phase‐separate into bi‐enzymatic coacervate microdroplets, acting as both scaffold and functional units. By tuning SEN ratios, these coacervates create specific microenvironments that enable selective small‐molecule enrichment and efficient intermediate diffusion.
Andoni Rodriguez‐Abetxuko, Nadia A. Erkamp, Neshat Moslehi, Yannick H. A. Leurs, Lars Paffen, Işil Yeşil Gür, Jana Stojanović, Hugo Brasselet, Laura van der Weel, Ulf Hanefeld, Ilja K. Voets, Jan C. M. van Hest   +11 more
wiley   +1 more source

SeqHIVE: a Python package to convert the biological sequences to informative vectors for sequence property predictions. [PDF]

BioData Min
Feng X, Gao C, Bai S, Zheng J, Yu C, Li K, Huang L, Han B, You T, Zhang J, Zhou F.   +10 more
europepmc   +1 more source